Henrywood and Agarwal, Equation (13)

Percentage Accurate: 24.6% → 45.0%
Time: 11.9s
Alternatives: 21
Speedup: 0.9×

Specification

?
\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	return (c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    t_0 = (c0 * (d_1 * d_1)) / ((w * h) * (d * d))
    code = (c0 / (2.0d0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (m * m))))
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	return (c0 / (2.0 * w)) * (t_0 + Math.sqrt(((t_0 * t_0) - (M * M))));
}
def code(c0, w, h, D, d, M):
	t_0 = (c0 * (d * d)) / ((w * h) * (D * D))
	return (c0 / (2.0 * w)) * (t_0 + math.sqrt(((t_0 * t_0) - (M * M))))
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	return Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M)))))
end
function tmp = code(c0, w, h, D, d, M)
	t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	tmp = (c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right)
\end{array}

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 21 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 24.6% accurate, 1.0× speedup?

\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	return (c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    t_0 = (c0 * (d_1 * d_1)) / ((w * h) * (d * d))
    code = (c0 / (2.0d0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (m * m))))
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	return (c0 / (2.0 * w)) * (t_0 + Math.sqrt(((t_0 * t_0) - (M * M))));
}
def code(c0, w, h, D, d, M):
	t_0 = (c0 * (d * d)) / ((w * h) * (D * D))
	return (c0 / (2.0 * w)) * (t_0 + math.sqrt(((t_0 * t_0) - (M * M))))
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	return Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M)))))
end
function tmp = code(c0, w, h, D, d, M)
	t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	tmp = (c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right)
\end{array}

Alternative 1: 45.0% accurate, 0.9× speedup?

\[\begin{array}{l} t_0 := \left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\\ \mathbf{if}\;\left|M\right| \leq 2.7 \cdot 10^{+153}:\\ \;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (* (/ d (* h D)) (/ c0 w)) (/ d D))))
   (if (<= (fabs M) 2.7e+153)
     (* (/ c0 (+ w w)) (+ t_0 (sqrt (- (* t_0 t_0) (* (fabs M) (fabs M))))))
     (* 0.5 (/ (* c0 (pow (* (- (fabs M)) (fabs M)) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d / (h * D)) * (c0 / w)) * (d / D);
	double tmp;
	if (fabs(M) <= 2.7e+153) {
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (fabs(M) * fabs(M)))));
	} else {
		tmp = 0.5 * ((c0 * pow((-fabs(M) * fabs(M)), 0.5)) / w);
	}
	return tmp;
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    real(8) :: tmp
    t_0 = ((d_1 / (h * d)) * (c0 / w)) * (d_1 / d)
    if (abs(m) <= 2.7d+153) then
        tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(m) * abs(m)))))
    else
        tmp = 0.5d0 * ((c0 * ((-abs(m) * abs(m)) ** 0.5d0)) / w)
    end if
    code = tmp
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d / (h * D)) * (c0 / w)) * (d / D);
	double tmp;
	if (Math.abs(M) <= 2.7e+153) {
		tmp = (c0 / (w + w)) * (t_0 + Math.sqrt(((t_0 * t_0) - (Math.abs(M) * Math.abs(M)))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-Math.abs(M) * Math.abs(M)), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = ((d / (h * D)) * (c0 / w)) * (d / D)
	tmp = 0
	if math.fabs(M) <= 2.7e+153:
		tmp = (c0 / (w + w)) * (t_0 + math.sqrt(((t_0 * t_0) - (math.fabs(M) * math.fabs(M)))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-math.fabs(M) * math.fabs(M)), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(Float64(d / Float64(h * D)) * Float64(c0 / w)) * Float64(d / D))
	tmp = 0.0
	if (abs(M) <= 2.7e+153)
		tmp = Float64(Float64(c0 / Float64(w + w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(abs(M) * abs(M))))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-abs(M)) * abs(M)) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = ((d / (h * D)) * (c0 / w)) * (d / D);
	tmp = 0.0;
	if (abs(M) <= 2.7e+153)
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(M) * abs(M)))));
	else
		tmp = 0.5 * ((c0 * ((-abs(M) * abs(M)) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(N[(d / N[(h * D), $MachinePrecision]), $MachinePrecision] * N[(c0 / w), $MachinePrecision]), $MachinePrecision] * N[(d / D), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[M], $MachinePrecision], 2.7e+153], N[(N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(N[Abs[M], $MachinePrecision] * N[Abs[M], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-N[Abs[M], $MachinePrecision]) * N[Abs[M], $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\\
\mathbf{if}\;\left|M\right| \leq 2.7 \cdot 10^{+153}:\\
\;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if M < 2.7000000000000001e153

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.9%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    9. Applied rewrites31.9%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    10. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    11. Applied rewrites31.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    12. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6436.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    13. Applied rewrites36.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    14. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{\color{blue}{2 \cdot w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. count-2-revN/A

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lower-+.f6436.6%

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    15. Applied rewrites36.6%

      \[\leadsto \color{blue}{\frac{c0}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]

    if 2.7000000000000001e153 < M

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 2: 44.6% accurate, 0.9× speedup?

\[\begin{array}{l} t_0 := \frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\\ \mathbf{if}\;\left|M\right| \leq 6.8 \cdot 10^{+151}:\\ \;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (/ (* d c0) (* D (* h w))) (/ d D))))
   (if (<= (fabs M) 6.8e+151)
     (* (/ c0 (+ w w)) (+ t_0 (sqrt (- (* t_0 t_0) (* (fabs M) (fabs M))))))
     (* 0.5 (/ (* c0 (pow (* (- (fabs M)) (fabs M)) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d * c0) / (D * (h * w))) * (d / D);
	double tmp;
	if (fabs(M) <= 6.8e+151) {
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (fabs(M) * fabs(M)))));
	} else {
		tmp = 0.5 * ((c0 * pow((-fabs(M) * fabs(M)), 0.5)) / w);
	}
	return tmp;
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    real(8) :: tmp
    t_0 = ((d_1 * c0) / (d * (h * w))) * (d_1 / d)
    if (abs(m) <= 6.8d+151) then
        tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(m) * abs(m)))))
    else
        tmp = 0.5d0 * ((c0 * ((-abs(m) * abs(m)) ** 0.5d0)) / w)
    end if
    code = tmp
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d * c0) / (D * (h * w))) * (d / D);
	double tmp;
	if (Math.abs(M) <= 6.8e+151) {
		tmp = (c0 / (w + w)) * (t_0 + Math.sqrt(((t_0 * t_0) - (Math.abs(M) * Math.abs(M)))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-Math.abs(M) * Math.abs(M)), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = ((d * c0) / (D * (h * w))) * (d / D)
	tmp = 0
	if math.fabs(M) <= 6.8e+151:
		tmp = (c0 / (w + w)) * (t_0 + math.sqrt(((t_0 * t_0) - (math.fabs(M) * math.fabs(M)))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-math.fabs(M) * math.fabs(M)), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(Float64(d * c0) / Float64(D * Float64(h * w))) * Float64(d / D))
	tmp = 0.0
	if (abs(M) <= 6.8e+151)
		tmp = Float64(Float64(c0 / Float64(w + w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(abs(M) * abs(M))))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-abs(M)) * abs(M)) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = ((d * c0) / (D * (h * w))) * (d / D);
	tmp = 0.0;
	if (abs(M) <= 6.8e+151)
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(M) * abs(M)))));
	else
		tmp = 0.5 * ((c0 * ((-abs(M) * abs(M)) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(N[(d * c0), $MachinePrecision] / N[(D * N[(h * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(d / D), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[M], $MachinePrecision], 6.8e+151], N[(N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(N[Abs[M], $MachinePrecision] * N[Abs[M], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-N[Abs[M], $MachinePrecision]) * N[Abs[M], $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\\
\mathbf{if}\;\left|M\right| \leq 6.8 \cdot 10^{+151}:\\
\;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if M < 6.7999999999999999e151

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{\color{blue}{2 \cdot w}} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. count-2-revN/A

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lower-+.f6434.8%

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    9. Applied rewrites34.8%

      \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]

    if 6.7999999999999999e151 < M

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 3: 44.5% accurate, 0.9× speedup?

\[\begin{array}{l} t_0 := \left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\\ \mathbf{if}\;\left|M\right| \leq 6.8 \cdot 10^{+151}:\\ \;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (* d c0) (/ (/ d D) (* (* h w) D)))))
   (if (<= (fabs M) 6.8e+151)
     (* (/ c0 (+ w w)) (+ t_0 (sqrt (- (* t_0 t_0) (* (fabs M) (fabs M))))))
     (* 0.5 (/ (* c0 (pow (* (- (fabs M)) (fabs M)) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d * c0) * ((d / D) / ((h * w) * D));
	double tmp;
	if (fabs(M) <= 6.8e+151) {
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (fabs(M) * fabs(M)))));
	} else {
		tmp = 0.5 * ((c0 * pow((-fabs(M) * fabs(M)), 0.5)) / w);
	}
	return tmp;
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    real(8) :: tmp
    t_0 = (d_1 * c0) * ((d_1 / d) / ((h * w) * d))
    if (abs(m) <= 6.8d+151) then
        tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(m) * abs(m)))))
    else
        tmp = 0.5d0 * ((c0 * ((-abs(m) * abs(m)) ** 0.5d0)) / w)
    end if
    code = tmp
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d * c0) * ((d / D) / ((h * w) * D));
	double tmp;
	if (Math.abs(M) <= 6.8e+151) {
		tmp = (c0 / (w + w)) * (t_0 + Math.sqrt(((t_0 * t_0) - (Math.abs(M) * Math.abs(M)))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-Math.abs(M) * Math.abs(M)), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = (d * c0) * ((d / D) / ((h * w) * D))
	tmp = 0
	if math.fabs(M) <= 6.8e+151:
		tmp = (c0 / (w + w)) * (t_0 + math.sqrt(((t_0 * t_0) - (math.fabs(M) * math.fabs(M)))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-math.fabs(M) * math.fabs(M)), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(d * c0) * Float64(Float64(d / D) / Float64(Float64(h * w) * D)))
	tmp = 0.0
	if (abs(M) <= 6.8e+151)
		tmp = Float64(Float64(c0 / Float64(w + w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(abs(M) * abs(M))))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-abs(M)) * abs(M)) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = (d * c0) * ((d / D) / ((h * w) * D));
	tmp = 0.0;
	if (abs(M) <= 6.8e+151)
		tmp = (c0 / (w + w)) * (t_0 + sqrt(((t_0 * t_0) - (abs(M) * abs(M)))));
	else
		tmp = 0.5 * ((c0 * ((-abs(M) * abs(M)) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(d * c0), $MachinePrecision] * N[(N[(d / D), $MachinePrecision] / N[(N[(h * w), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[M], $MachinePrecision], 6.8e+151], N[(N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(N[Abs[M], $MachinePrecision] * N[Abs[M], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-N[Abs[M], $MachinePrecision]) * N[Abs[M], $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\\
\mathbf{if}\;\left|M\right| \leq 6.8 \cdot 10^{+151}:\\
\;\;\;\;\frac{c0}{w + w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - \left|M\right| \cdot \left|M\right|}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-\left|M\right|\right) \cdot \left|M\right|\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if M < 6.7999999999999999e151

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.9%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    9. Applied rewrites31.9%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    10. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    11. Applied rewrites31.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    12. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6436.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    13. Applied rewrites36.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    14. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{\color{blue}{2 \cdot w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. count-2-revN/A

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lower-+.f6436.6%

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    15. Applied rewrites36.6%

      \[\leadsto \color{blue}{\frac{c0}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    16. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \left(\color{blue}{\frac{d}{h \cdot D}} \cdot \frac{c0}{w}\right) + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. frac-timesN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{\left(h \cdot D\right) \cdot w}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{\color{blue}{d \cdot c0}}{\left(h \cdot D\right) \cdot w} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(h \cdot D\right)} \cdot w} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right)} \cdot w} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. associate-*r*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. associate-*l/N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\frac{\left(d \cdot c0\right) \cdot \frac{d}{D}}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. associate-/l*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      19. lower-/.f6431.3%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      20. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      21. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      22. lower-*.f6431.3%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    17. Applied rewrites31.3%

      \[\leadsto \frac{c0}{w + w} \cdot \left(\color{blue}{\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    18. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \left(\color{blue}{\frac{d}{h \cdot D}} \cdot \frac{c0}{w}\right)\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right)\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. frac-timesN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{\left(h \cdot D\right) \cdot w}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{\color{blue}{d \cdot c0}}{\left(h \cdot D\right) \cdot w}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(h \cdot D\right)} \cdot w}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right)} \cdot w}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. associate-*r*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. associate-*l/N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\frac{\left(d \cdot c0\right) \cdot \frac{d}{D}}{D \cdot \left(h \cdot w\right)}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. associate-/l*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      19. lower-/.f6431.8%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      20. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      21. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      22. lower-*.f6431.8%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    19. Applied rewrites31.8%

      \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right)} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    20. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      2. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)}\right) - M \cdot M}\right) \]
      4. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \left(\color{blue}{\frac{d}{h \cdot D}} \cdot \frac{c0}{w}\right)\right) - M \cdot M}\right) \]
      5. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right)\right) - M \cdot M}\right) \]
      6. frac-timesN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{\left(h \cdot D\right) \cdot w}}\right) - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{\color{blue}{d \cdot c0}}{\left(h \cdot D\right) \cdot w}\right) - M \cdot M}\right) \]
      8. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(h \cdot D\right)} \cdot w}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right)} \cdot w}\right) - M \cdot M}\right) \]
      10. associate-*r*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      13. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\frac{d}{D} \cdot \color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      14. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      15. lift-/.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. associate-*l/N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\frac{\left(d \cdot c0\right) \cdot \frac{d}{D}}{D \cdot \left(h \cdot w\right)}} - M \cdot M}\right) \]
      17. associate-/l*N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}\right)} - M \cdot M}\right) \]
      18. lower-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}\right)} - M \cdot M}\right) \]
      19. lower-/.f6434.3%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{\frac{d}{D}}{D \cdot \left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      20. lift-*.f64N/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}}\right) - M \cdot M}\right) \]
      21. *-commutativeN/A

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}}\right) - M \cdot M}\right) \]
      22. lower-*.f6434.3%

        \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\color{blue}{\left(h \cdot w\right) \cdot D}}\right) - M \cdot M}\right) \]
    21. Applied rewrites34.3%

      \[\leadsto \frac{c0}{w + w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right) \cdot \color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{\frac{d}{D}}{\left(h \cdot w\right) \cdot D}\right)} - M \cdot M}\right) \]

    if 6.7999999999999999e151 < M

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 44.5% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{c0}{2 \cdot w}\\ t_1 := c0 \cdot \left(d \cdot d\right)\\ t_2 := \frac{t\_1}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ t_3 := \frac{t\_1}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}\\ \mathbf{if}\;t\_0 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_0 \cdot \left(t\_3 + \sqrt{t\_3 \cdot t\_3 - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ c0 (* 2.0 w)))
        (t_1 (* c0 (* d d)))
        (t_2 (/ t_1 (* (* w h) (* D D))))
        (t_3 (/ t_1 (* (* D (* h w)) D))))
   (if (<= (* t_0 (+ t_2 (sqrt (- (* t_2 t_2) (* M M))))) INFINITY)
     (* t_0 (+ t_3 (sqrt (- (* t_3 t_3) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = c0 * (d * d);
	double t_2 = t_1 / ((w * h) * (D * D));
	double t_3 = t_1 / ((D * (h * w)) * D);
	double tmp;
	if ((t_0 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_0 * (t_3 + sqrt(((t_3 * t_3) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = c0 * (d * d);
	double t_2 = t_1 / ((w * h) * (D * D));
	double t_3 = t_1 / ((D * (h * w)) * D);
	double tmp;
	if ((t_0 * (t_2 + Math.sqrt(((t_2 * t_2) - (M * M))))) <= Double.POSITIVE_INFINITY) {
		tmp = t_0 * (t_3 + Math.sqrt(((t_3 * t_3) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = c0 / (2.0 * w)
	t_1 = c0 * (d * d)
	t_2 = t_1 / ((w * h) * (D * D))
	t_3 = t_1 / ((D * (h * w)) * D)
	tmp = 0
	if (t_0 * (t_2 + math.sqrt(((t_2 * t_2) - (M * M))))) <= math.inf:
		tmp = t_0 * (t_3 + math.sqrt(((t_3 * t_3) - (M * M))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-M * M), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(c0 / Float64(2.0 * w))
	t_1 = Float64(c0 * Float64(d * d))
	t_2 = Float64(t_1 / Float64(Float64(w * h) * Float64(D * D)))
	t_3 = Float64(t_1 / Float64(Float64(D * Float64(h * w)) * D))
	tmp = 0.0
	if (Float64(t_0 * Float64(t_2 + sqrt(Float64(Float64(t_2 * t_2) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_0 * Float64(t_3 + sqrt(Float64(Float64(t_3 * t_3) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = c0 / (2.0 * w);
	t_1 = c0 * (d * d);
	t_2 = t_1 / ((w * h) * (D * D));
	t_3 = t_1 / ((D * (h * w)) * D);
	tmp = 0.0;
	if ((t_0 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= Inf)
		tmp = t_0 * (t_3 + sqrt(((t_3 * t_3) - (M * M))));
	else
		tmp = 0.5 * ((c0 * ((-M * M) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(N[(D * N[(h * w), $MachinePrecision]), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$0 * N[(t$95$2 + N[Sqrt[N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$0 * N[(t$95$3 + N[Sqrt[N[(N[(t$95$3 * t$95$3), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
t_0 := \frac{c0}{2 \cdot w}\\
t_1 := c0 \cdot \left(d \cdot d\right)\\
t_2 := \frac{t\_1}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
t_3 := \frac{t\_1}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}\\
\mathbf{if}\;t\_0 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_0 \cdot \left(t\_3 + \sqrt{t\_3 \cdot t\_3 - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lower-*.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(w \cdot h\right)}\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lower-*.f6424.5%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(w \cdot h\right)}\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f6424.5%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.5%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      3. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} - M \cdot M}\right) \]
      6. lower-*.f6427.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(w \cdot h\right)\right)} \cdot D} - M \cdot M}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(w \cdot h\right)}\right) \cdot D} - M \cdot M}\right) \]
      8. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} - M \cdot M}\right) \]
      9. lower-*.f6427.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \color{blue}{\left(h \cdot w\right)}\right) \cdot D} - M \cdot M}\right) \]
    7. Applied rewrites27.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} - M \cdot M}\right) \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 5: 43.5% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\\ t_1 := \frac{c0}{2 \cdot w}\\ t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_1 \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (* d c0) (/ d (* (* (* D D) w) h))))
        (t_1 (/ c0 (* 2.0 w)))
        (t_2 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_1 (+ t_2 (sqrt (- (* t_2 t_2) (* M M))))) INFINITY)
     (* t_1 (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d * c0) * (d / (((D * D) * w) * h));
	double t_1 = c0 / (2.0 * w);
	double t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_1 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_1 * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d * c0) * (d / (((D * D) * w) * h));
	double t_1 = c0 / (2.0 * w);
	double t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_1 * (t_2 + Math.sqrt(((t_2 * t_2) - (M * M))))) <= Double.POSITIVE_INFINITY) {
		tmp = t_1 * (t_0 + Math.sqrt(((t_0 * t_0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = (d * c0) * (d / (((D * D) * w) * h))
	t_1 = c0 / (2.0 * w)
	t_2 = (c0 * (d * d)) / ((w * h) * (D * D))
	tmp = 0
	if (t_1 * (t_2 + math.sqrt(((t_2 * t_2) - (M * M))))) <= math.inf:
		tmp = t_1 * (t_0 + math.sqrt(((t_0 * t_0) - (M * M))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-M * M), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(d * c0) * Float64(d / Float64(Float64(Float64(D * D) * w) * h)))
	t_1 = Float64(c0 / Float64(2.0 * w))
	t_2 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_1 * Float64(t_2 + sqrt(Float64(Float64(t_2 * t_2) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_1 * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = (d * c0) * (d / (((D * D) * w) * h));
	t_1 = c0 / (2.0 * w);
	t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	tmp = 0.0;
	if ((t_1 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= Inf)
		tmp = t_1 * (t_0 + sqrt(((t_0 * t_0) - (M * M))));
	else
		tmp = 0.5 * ((c0 * ((-M * M) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(d * c0), $MachinePrecision] * N[(d / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 * N[(t$95$2 + N[Sqrt[N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$1 * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
t_0 := \left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\\
t_1 := \frac{c0}{2 \cdot w}\\
t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_1 \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(D \cdot D\right) \cdot \left(w \cdot h\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(D \cdot D\right) \cdot \color{blue}{\left(w \cdot h\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lower-*.f6423.4%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right)} \cdot h} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites23.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\color{blue}{\left(\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\color{blue}{\left(\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-/.f6423.5%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(D \cdot D\right) \cdot \left(w \cdot h\right)}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(D \cdot D\right) \cdot \color{blue}{\left(w \cdot h\right)}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lower-*.f6423.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right)} \cdot h}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites23.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \color{blue}{\left(\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right)} - M \cdot M}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \color{blue}{\left(\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right)} - M \cdot M}\right) \]
      7. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right) - M \cdot M}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\color{blue}{\left(d \cdot c0\right)} \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\right) - M \cdot M}\right) \]
      9. lower-/.f6427.5%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \color{blue}{\frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}}\right) - M \cdot M}\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(D \cdot D\right) \cdot \left(w \cdot h\right)}}\right) - M \cdot M}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(D \cdot D\right) \cdot \color{blue}{\left(w \cdot h\right)}}\right) - M \cdot M}\right) \]
      13. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}}\right) - M \cdot M}\right) \]
      15. lower-*.f6429.2%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right)} \cdot h}\right) - M \cdot M}\right) \]
    7. Applied rewrites29.2%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} + \sqrt{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right) \cdot \color{blue}{\left(\left(d \cdot c0\right) \cdot \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}\right)} - M \cdot M}\right) \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 6: 43.5% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\\ t_1 := \frac{c0}{2 \cdot w}\\ t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_1 \cdot \left(t\_0 + \sqrt{{t\_0}^{2} - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (/ (* d c0) (* (* (* D D) w) h)) d))
        (t_1 (/ c0 (* 2.0 w)))
        (t_2 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_1 (+ t_2 (sqrt (- (* t_2 t_2) (* M M))))) INFINITY)
     (* t_1 (+ t_0 (sqrt (- (pow t_0 2.0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d * c0) / (((D * D) * w) * h)) * d;
	double t_1 = c0 / (2.0 * w);
	double t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_1 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_1 * (t_0 + sqrt((pow(t_0, 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((d * c0) / (((D * D) * w) * h)) * d;
	double t_1 = c0 / (2.0 * w);
	double t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_1 * (t_2 + Math.sqrt(((t_2 * t_2) - (M * M))))) <= Double.POSITIVE_INFINITY) {
		tmp = t_1 * (t_0 + Math.sqrt((Math.pow(t_0, 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * Math.pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = ((d * c0) / (((D * D) * w) * h)) * d
	t_1 = c0 / (2.0 * w)
	t_2 = (c0 * (d * d)) / ((w * h) * (D * D))
	tmp = 0
	if (t_1 * (t_2 + math.sqrt(((t_2 * t_2) - (M * M))))) <= math.inf:
		tmp = t_1 * (t_0 + math.sqrt((math.pow(t_0, 2.0) - (M * M))))
	else:
		tmp = 0.5 * ((c0 * math.pow((-M * M), 0.5)) / w)
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(Float64(d * c0) / Float64(Float64(Float64(D * D) * w) * h)) * d)
	t_1 = Float64(c0 / Float64(2.0 * w))
	t_2 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_1 * Float64(t_2 + sqrt(Float64(Float64(t_2 * t_2) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_1 * Float64(t_0 + sqrt(Float64((t_0 ^ 2.0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = ((d * c0) / (((D * D) * w) * h)) * d;
	t_1 = c0 / (2.0 * w);
	t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	tmp = 0.0;
	if ((t_1 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= Inf)
		tmp = t_1 * (t_0 + sqrt(((t_0 ^ 2.0) - (M * M))));
	else
		tmp = 0.5 * ((c0 * ((-M * M) ^ 0.5)) / w);
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(N[(d * c0), $MachinePrecision] / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision]}, Block[{t$95$1 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 * N[(t$95$2 + N[Sqrt[N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$1 * N[(t$95$0 + N[Sqrt[N[(N[Power[t$95$0, 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
t_0 := \frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\\
t_1 := \frac{c0}{2 \cdot w}\\
t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_1 \cdot \left(t\_0 + \sqrt{{t\_0}^{2} - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.9%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    9. Applied rewrites31.9%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    10. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    11. Applied rewrites31.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    12. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6436.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    13. Applied rewrites36.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    14. Applied rewrites29.2%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d + \sqrt{{\left(\frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\right)}^{2} - M \cdot M}\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 7: 43.3% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;\left(\frac{0.5}{w} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))
        INFINITY)
     (*
      (* (/ 0.5 w) c0)
      (fma
       (/ (* d d) (* D (* h w)))
       (/ c0 D)
       (sqrt (- (pow (* (/ (* d d) (* (* (* h w) D) D)) c0) 2.0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))))) <= ((double) INFINITY)) {
		tmp = ((0.5 / w) * c0) * fma(((d * d) / (D * (h * w))), (c0 / D), sqrt((pow((((d * d) / (((h * w) * D) * D)) * c0), 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M))))) <= Inf)
		tmp = Float64(Float64(Float64(0.5 / w) * c0) * fma(Float64(Float64(d * d) / Float64(D * Float64(h * w))), Float64(c0 / D), sqrt(Float64((Float64(Float64(Float64(d * d) / Float64(Float64(Float64(h * w) * D) * D)) * c0) ^ 2.0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(N[(N[(0.5 / w), $MachinePrecision] * c0), $MachinePrecision] * N[(N[(N[(d * d), $MachinePrecision] / N[(D * N[(h * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(c0 / D), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(N[(N[(d * d), $MachinePrecision] / N[(N[(N[(h * w), $MachinePrecision] * D), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision], 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;\left(\frac{0.5}{w} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(d \cdot d\right) \cdot c0}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{c0}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{\left(w \cdot h\right) \cdot D}, \frac{c0}{D}, \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
    3. Applied rewrites23.5%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0\right)}^{2} - M \cdot M}\right)} \]
    4. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right)} \cdot h} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      3. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot D\right) \cdot \left(w \cdot h\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot D\right)} \cdot \left(w \cdot h\right)} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(D \cdot D\right) \cdot \color{blue}{\left(h \cdot w\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(D \cdot D\right) \cdot \color{blue}{\left(h \cdot w\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      7. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{D \cdot \left(D \cdot \left(h \cdot w\right)\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      8. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{D \cdot \color{blue}{\left(D \cdot \left(h \cdot w\right)\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      10. lower-*.f6426.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      12. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      13. lower-*.f6426.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    5. Applied rewrites26.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \color{blue}{\frac{c0}{2 \cdot w}} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      2. mult-flipN/A

        \[\leadsto \color{blue}{\left(c0 \cdot \frac{1}{2 \cdot w}\right)} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      3. *-commutativeN/A

        \[\leadsto \color{blue}{\left(\frac{1}{2 \cdot w} \cdot c0\right)} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \color{blue}{\left(\frac{1}{2 \cdot w} \cdot c0\right)} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \left(\frac{1}{\color{blue}{2 \cdot w}} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      6. associate-/r*N/A

        \[\leadsto \left(\color{blue}{\frac{\frac{1}{2}}{w}} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      7. metadata-evalN/A

        \[\leadsto \left(\frac{\color{blue}{\frac{1}{2}}}{w} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      8. lower-/.f6426.3%

        \[\leadsto \left(\color{blue}{\frac{0.5}{w}} \cdot c0\right) \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    7. Applied rewrites26.3%

      \[\leadsto \color{blue}{\left(\frac{0.5}{w} \cdot c0\right)} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 8: 43.1% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;\frac{c0}{w + w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))
        INFINITY)
     (*
      (/ c0 (+ w w))
      (fma
       (/ (* d d) (* D (* h w)))
       (/ c0 D)
       (sqrt (- (pow (* (/ (* d d) (* (* (* h w) D) D)) c0) 2.0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))))) <= ((double) INFINITY)) {
		tmp = (c0 / (w + w)) * fma(((d * d) / (D * (h * w))), (c0 / D), sqrt((pow((((d * d) / (((h * w) * D) * D)) * c0), 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M))))) <= Inf)
		tmp = Float64(Float64(c0 / Float64(w + w)) * fma(Float64(Float64(d * d) / Float64(D * Float64(h * w))), Float64(c0 / D), sqrt(Float64((Float64(Float64(Float64(d * d) / Float64(Float64(Float64(h * w) * D) * D)) * c0) ^ 2.0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(d * d), $MachinePrecision] / N[(D * N[(h * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(c0 / D), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(N[(N[(d * d), $MachinePrecision] / N[(N[(N[(h * w), $MachinePrecision] * D), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision], 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;\frac{c0}{w + w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(d \cdot d\right) \cdot c0}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot c0}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{c0}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{\left(w \cdot h\right) \cdot D}, \frac{c0}{D}, \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
    3. Applied rewrites23.5%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0\right)}^{2} - M \cdot M}\right)} \]
    4. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(D \cdot D\right) \cdot w\right)} \cdot h} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      3. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot D\right) \cdot \left(w \cdot h\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot D\right)} \cdot \left(w \cdot h\right)} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(D \cdot D\right) \cdot \color{blue}{\left(h \cdot w\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(D \cdot D\right) \cdot \color{blue}{\left(h \cdot w\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      7. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{D \cdot \left(D \cdot \left(h \cdot w\right)\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      8. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{D \cdot \color{blue}{\left(D \cdot \left(h \cdot w\right)\right)}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      10. lower-*.f6426.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(D \cdot \left(h \cdot w\right)\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      12. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      13. lower-*.f6426.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right)} \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    5. Applied rewrites26.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\color{blue}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D}} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{\color{blue}{2 \cdot w}} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      2. count-2-revN/A

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
      3. lower-+.f6426.3%

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]
    7. Applied rewrites26.3%

      \[\leadsto \color{blue}{\frac{c0}{w + w}} \cdot \mathsf{fma}\left(\frac{d \cdot d}{D \cdot \left(h \cdot w\right)}, \frac{c0}{D}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(h \cdot w\right) \cdot D\right) \cdot D} \cdot c0\right)}^{2} - M \cdot M}\right) \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 9: 42.7% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \left(\left(D \cdot D\right) \cdot w\right) \cdot h\\ t_1 := \frac{c0}{2 \cdot w}\\ t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_1 \cdot \mathsf{fma}\left(d \cdot c0, \frac{d}{t\_0}, \sqrt{{\left(\frac{d \cdot d}{t\_0} \cdot c0\right)}^{2} - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (* (* D D) w) h))
        (t_1 (/ c0 (* 2.0 w)))
        (t_2 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_1 (+ t_2 (sqrt (- (* t_2 t_2) (* M M))))) INFINITY)
     (*
      t_1
      (fma
       (* d c0)
       (/ d t_0)
       (sqrt (- (pow (* (/ (* d d) t_0) c0) 2.0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = ((D * D) * w) * h;
	double t_1 = c0 / (2.0 * w);
	double t_2 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_1 * (t_2 + sqrt(((t_2 * t_2) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_1 * fma((d * c0), (d / t_0), sqrt((pow((((d * d) / t_0) * c0), 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(Float64(D * D) * w) * h)
	t_1 = Float64(c0 / Float64(2.0 * w))
	t_2 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_1 * Float64(t_2 + sqrt(Float64(Float64(t_2 * t_2) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_1 * fma(Float64(d * c0), Float64(d / t_0), sqrt(Float64((Float64(Float64(Float64(d * d) / t_0) * c0) ^ 2.0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]}, Block[{t$95$1 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$1 * N[(t$95$2 + N[Sqrt[N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$1 * N[(N[(d * c0), $MachinePrecision] * N[(d / t$95$0), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(N[(N[(d * d), $MachinePrecision] / t$95$0), $MachinePrecision] * c0), $MachinePrecision], 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
t_0 := \left(\left(D \cdot D\right) \cdot w\right) \cdot h\\
t_1 := \frac{c0}{2 \cdot w}\\
t_2 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_1 \cdot \left(t\_2 + \sqrt{t\_2 \cdot t\_2 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_1 \cdot \mathsf{fma}\left(d \cdot c0, \frac{d}{t\_0}, \sqrt{{\left(\frac{d \cdot d}{t\_0} \cdot c0\right)}^{2} - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(c0 \cdot d\right) \cdot \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. lower-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(c0 \cdot d, \frac{d}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}, \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)} \]
    3. Applied rewrites24.5%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot c0, \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, \sqrt{{\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0\right)}^{2} - M \cdot M}\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 10: 42.7% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;\frac{c0}{w + w} \cdot \mathsf{fma}\left(t\_0, c0, \sqrt{{\left(t\_0 \cdot c0\right)}^{2} - M \cdot M}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (/ d (* (* (* D D) w) h)) d))
        (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_1 (sqrt (- (* t_1 t_1) (* M M)))))
        INFINITY)
     (* (/ c0 (+ w w)) (fma t_0 c0 (sqrt (- (pow (* t_0 c0) 2.0) (* M M)))))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d / (((D * D) * w) * h)) * d;
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_1 + sqrt(((t_1 * t_1) - (M * M))))) <= ((double) INFINITY)) {
		tmp = (c0 / (w + w)) * fma(t_0, c0, sqrt((pow((t_0 * c0), 2.0) - (M * M))));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(d / Float64(Float64(Float64(D * D) * w) * h)) * d)
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M))))) <= Inf)
		tmp = Float64(Float64(c0 / Float64(w + w)) * fma(t_0, c0, sqrt(Float64((Float64(t_0 * c0) ^ 2.0) - Float64(M * M)))));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(d / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * c0 + N[Sqrt[N[(N[Power[N[(t$95$0 * c0), $MachinePrecision], 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;\frac{c0}{w + w} \cdot \mathsf{fma}\left(t\_0, c0, \sqrt{{\left(t\_0 \cdot c0\right)}^{2} - M \cdot M}\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Applied rewrites28.5%

      \[\leadsto \color{blue}{\frac{c0}{w + w} \cdot \mathsf{fma}\left(\frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d, c0, \sqrt{{\left(\left(\frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot d\right) \cdot c0\right)}^{2} - M \cdot M}\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 11: 42.1% accurate, 0.5× speedup?

\[\begin{array}{l} t_0 := \frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;c0 \cdot \frac{\mathsf{fma}\left(t\_0, c0, \sqrt{{\left(t\_0 \cdot c0\right)}^{2} - M \cdot M}\right)}{w + w}\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* d d) (* (* (* D D) h) w)))
        (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_1 (sqrt (- (* t_1 t_1) (* M M)))))
        INFINITY)
     (* c0 (/ (fma t_0 c0 (sqrt (- (pow (* t_0 c0) 2.0) (* M M)))) (+ w w)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (d * d) / (((D * D) * h) * w);
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_1 + sqrt(((t_1 * t_1) - (M * M))))) <= ((double) INFINITY)) {
		tmp = c0 * (fma(t_0, c0, sqrt((pow((t_0 * c0), 2.0) - (M * M)))) / (w + w));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(d * d) / Float64(Float64(Float64(D * D) * h) * w))
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M))))) <= Inf)
		tmp = Float64(c0 * Float64(fma(t_0, c0, sqrt(Float64((Float64(t_0 * c0) ^ 2.0) - Float64(M * M)))) / Float64(w + w)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(d * d), $MachinePrecision] / N[(N[(N[(D * D), $MachinePrecision] * h), $MachinePrecision] * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(c0 * N[(N[(t$95$0 * c0 + N[Sqrt[N[(N[Power[N[(t$95$0 * c0), $MachinePrecision], 2.0], $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(w + w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;c0 \cdot \frac{\mathsf{fma}\left(t\_0, c0, \sqrt{{\left(t\_0 \cdot c0\right)}^{2} - M \cdot M}\right)}{w + w}\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.1%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    3. Applied rewrites24.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      18. lower-/.f6424.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    5. Applied rewrites24.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{c0 \cdot \left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{c0 \cdot \color{blue}{\left(d \cdot d\right)}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      4. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\color{blue}{\left(c0 \cdot d\right) \cdot d}}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}} - M \cdot M}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\left(w \cdot h\right) \cdot \color{blue}{\left(D \cdot D\right)}} - M \cdot M}\right) \]
      7. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \frac{\left(c0 \cdot d\right) \cdot d}{\color{blue}{\left(\left(w \cdot h\right) \cdot D\right) \cdot D}} - M \cdot M}\right) \]
      8. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
      10. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{c0 \cdot d}{\left(w \cdot h\right) \cdot D}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{\left(w \cdot h\right) \cdot D} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      13. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      15. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(w \cdot h\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      16. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      17. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      18. lower-/.f6434.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \color{blue}{\frac{d}{D}}\right) - M \cdot M}\right) \]
    7. Applied rewrites34.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \color{blue}{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right)} - M \cdot M}\right) \]
    8. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.9%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    9. Applied rewrites31.9%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    10. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6431.8%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    11. Applied rewrites31.8%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    12. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\frac{d \cdot c0}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{\color{blue}{d \cdot c0}}{D \cdot \left(h \cdot w\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{D \cdot \left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{D \cdot \color{blue}{\left(h \cdot w\right)}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      5. associate-*r*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\frac{d \cdot c0}{\color{blue}{\left(D \cdot h\right) \cdot w}} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      6. times-fracN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{D \cdot h} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      8. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\color{blue}{\frac{d}{D \cdot h}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      9. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      10. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{\color{blue}{h \cdot D}} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      11. lower-/.f6436.6%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \color{blue}{\frac{c0}{w}}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    13. Applied rewrites36.6%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\color{blue}{\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right)} \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    14. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{\color{blue}{2 \cdot w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      2. count-2-revN/A

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
      3. lower-+.f6436.6%

        \[\leadsto \frac{c0}{\color{blue}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    15. Applied rewrites36.6%

      \[\leadsto \color{blue}{\frac{c0}{w + w}} \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D} + \sqrt{\left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) \cdot \left(\left(\frac{d}{h \cdot D} \cdot \frac{c0}{w}\right) \cdot \frac{d}{D}\right) - M \cdot M}\right) \]
    16. Applied rewrites24.4%

      \[\leadsto \color{blue}{c0 \cdot \frac{\mathsf{fma}\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}, c0, \sqrt{{\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w} \cdot c0\right)}^{2} - M \cdot M}\right)}{w + w}} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 12: 36.4% accurate, 0.4× speedup?

\[\begin{array}{l} t_0 := \frac{c0}{2 \cdot w}\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ t_2 := t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right)\\ \mathbf{if}\;t\_2 \leq -\infty:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right)\\ \mathbf{elif}\;t\_2 \leq \infty:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ c0 (* 2.0 w)))
        (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D))))
        (t_2 (* t_0 (+ t_1 (sqrt (- (* t_1 t_1) (* M M)))))))
   (if (<= t_2 (- INFINITY))
     (*
      t_0
      (fma
       (/ (* d d) (* h w))
       (/ (/ c0 D) D)
       (* (/ (* (/ d (* D D)) d) (* -1.0 (* w (sqrt (pow h 2.0))))) c0)))
     (if (<= t_2 INFINITY)
       (*
        t_0
        (fma
         (* d d)
         (/ (/ c0 D) (* (* h w) D))
         (* (* (/ d (* (fabs (* h w)) (* D D))) d) c0)))
       (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w))))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double t_2 = t_0 * (t_1 + sqrt(((t_1 * t_1) - (M * M))));
	double tmp;
	if (t_2 <= -((double) INFINITY)) {
		tmp = t_0 * fma(((d * d) / (h * w)), ((c0 / D) / D), ((((d / (D * D)) * d) / (-1.0 * (w * sqrt(pow(h, 2.0))))) * c0));
	} else if (t_2 <= ((double) INFINITY)) {
		tmp = t_0 * fma((d * d), ((c0 / D) / ((h * w) * D)), (((d / (fabs((h * w)) * (D * D))) * d) * c0));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(c0 / Float64(2.0 * w))
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	t_2 = Float64(t_0 * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M)))))
	tmp = 0.0
	if (t_2 <= Float64(-Inf))
		tmp = Float64(t_0 * fma(Float64(Float64(d * d) / Float64(h * w)), Float64(Float64(c0 / D) / D), Float64(Float64(Float64(Float64(d / Float64(D * D)) * d) / Float64(-1.0 * Float64(w * sqrt((h ^ 2.0))))) * c0)));
	elseif (t_2 <= Inf)
		tmp = Float64(t_0 * fma(Float64(d * d), Float64(Float64(c0 / D) / Float64(Float64(h * w) * D)), Float64(Float64(Float64(d / Float64(abs(Float64(h * w)) * Float64(D * D))) * d) * c0)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, (-Infinity)], N[(t$95$0 * N[(N[(N[(d * d), $MachinePrecision] / N[(h * w), $MachinePrecision]), $MachinePrecision] * N[(N[(c0 / D), $MachinePrecision] / D), $MachinePrecision] + N[(N[(N[(N[(d / N[(D * D), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[(-1.0 * N[(w * N[Sqrt[N[Power[h, 2.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, Infinity], N[(t$95$0 * N[(N[(d * d), $MachinePrecision] * N[(N[(c0 / D), $MachinePrecision] / N[(N[(h * w), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(d / N[(N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
t_0 := \frac{c0}{2 \cdot w}\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
t_2 := t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right)\\
\mathbf{if}\;t\_2 \leq -\infty:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right)\\

\mathbf{elif}\;t\_2 \leq \infty:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < -inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Taylor expanded in w around -inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]
    7. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]
      2. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]
      3. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]
      4. lower-pow.f6416.4%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]
    8. Applied rewrites16.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{-1 \cdot \left(w \cdot \sqrt{{h}^{2}}\right)} \cdot c0\right) \]

    if -inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      4. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \left(\frac{d}{D \cdot D} \cdot \frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}}\right) \cdot c0\right) \]
      5. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right)\right) \]
      8. lower-/.f6415.4%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      9. lift-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      12. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      13. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      14. rem-sqrt-squareN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      15. lower-fabs.f6417.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
    7. Applied rewrites17.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)}\right) \]
    8. Step-by-step derivation
      1. lift-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{d \cdot d}{h \cdot w} \cdot \frac{\frac{c0}{D}}{D} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right)} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot d}{h \cdot w}} \cdot \frac{\frac{c0}{D}}{D} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      3. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot d}{h \cdot w} \cdot \color{blue}{\frac{\frac{c0}{D}}{D}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      4. frac-timesN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\left(h \cdot w\right) \cdot D}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      7. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(d \cdot d\right) \cdot \frac{\frac{c0}{D}}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      8. lower-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{D \cdot \left(h \cdot w\right)}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right)} \]
    9. Applied rewrites19.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 3 regimes into one program.
  4. Add Preprocessing

Alternative 13: 32.8% accurate, 0.6× speedup?

\[\begin{array}{l} t_0 := \frac{c0}{2 \cdot w}\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ c0 (* 2.0 w))) (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_0 (+ t_1 (sqrt (- (* t_1 t_1) (* M M))))) INFINITY)
     (*
      t_0
      (fma
       (* d d)
       (/ (/ c0 D) (* (* h w) D))
       (* (* (/ d (* (fabs (* h w)) (* D D))) d) c0)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_0 * (t_1 + sqrt(((t_1 * t_1) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_0 * fma((d * d), ((c0 / D) / ((h * w) * D)), (((d / (fabs((h * w)) * (D * D))) * d) * c0));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(c0 / Float64(2.0 * w))
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_0 * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_0 * fma(Float64(d * d), Float64(Float64(c0 / D) / Float64(Float64(h * w) * D)), Float64(Float64(Float64(d / Float64(abs(Float64(h * w)) * Float64(D * D))) * d) * c0)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$0 * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$0 * N[(N[(d * d), $MachinePrecision] * N[(N[(c0 / D), $MachinePrecision] / N[(N[(h * w), $MachinePrecision] * D), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(d / N[(N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{c0}{2 \cdot w}\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      4. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \left(\frac{d}{D \cdot D} \cdot \frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}}\right) \cdot c0\right) \]
      5. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right)\right) \]
      8. lower-/.f6415.4%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      9. lift-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      12. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      13. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      14. rem-sqrt-squareN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      15. lower-fabs.f6417.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
    7. Applied rewrites17.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)}\right) \]
    8. Step-by-step derivation
      1. lift-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\left(\frac{d \cdot d}{h \cdot w} \cdot \frac{\frac{c0}{D}}{D} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right)} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{d \cdot d}{h \cdot w}} \cdot \frac{\frac{c0}{D}}{D} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      3. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{d \cdot d}{h \cdot w} \cdot \color{blue}{\frac{\frac{c0}{D}}{D}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      4. frac-timesN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\left(h \cdot w\right) \cdot D}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      5. *-commutativeN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      6. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{\left(d \cdot d\right) \cdot \frac{c0}{D}}{\color{blue}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      7. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\color{blue}{\left(d \cdot d\right) \cdot \frac{\frac{c0}{D}}{D \cdot \left(h \cdot w\right)}} + \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      8. lower-fma.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{D \cdot \left(h \cdot w\right)}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right)} \]
    9. Applied rewrites19.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot d, \frac{\frac{c0}{D}}{\left(h \cdot w\right) \cdot D}, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 14: 32.7% accurate, 0.6× speedup?

\[\begin{array}{l} t_0 := \frac{c0}{2 \cdot w}\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ c0 (* 2.0 w))) (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_0 (+ t_1 (sqrt (- (* t_1 t_1) (* M M))))) INFINITY)
     (*
      t_0
      (fma
       (* d d)
       (/ c0 (* (* (* D D) w) h))
       (* (/ (* d d) (* (* D D) (fabs (* h w)))) c0)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_0 * (t_1 + sqrt(((t_1 * t_1) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_0 * fma((d * d), (c0 / (((D * D) * w) * h)), (((d * d) / ((D * D) * fabs((h * w)))) * c0));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(c0 / Float64(2.0 * w))
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_0 * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_0 * fma(Float64(d * d), Float64(c0 / Float64(Float64(Float64(D * D) * w) * h)), Float64(Float64(Float64(d * d) / Float64(Float64(D * D) * abs(Float64(h * w)))) * c0)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$0 * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$0 * N[(N[(d * d), $MachinePrecision] * N[(c0 / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(d * d), $MachinePrecision] / N[(N[(D * D), $MachinePrecision] * N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{c0}{2 \cdot w}\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(d \cdot d, \frac{c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Applied rewrites17.1%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d \cdot d, \frac{c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 15: 32.7% accurate, 0.6× speedup?

\[\begin{array}{l} t_0 := \frac{c0}{2 \cdot w}\\ t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(d, \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ c0 (* 2.0 w))) (t_1 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<= (* t_0 (+ t_1 (sqrt (- (* t_1 t_1) (* M M))))) INFINITY)
     (*
      t_0
      (fma
       d
       (* (/ d (* (* (* D D) w) h)) c0)
       (* (/ (* d d) (* (* D D) (fabs (* h w)))) c0)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = c0 / (2.0 * w);
	double t_1 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if ((t_0 * (t_1 + sqrt(((t_1 * t_1) - (M * M))))) <= ((double) INFINITY)) {
		tmp = t_0 * fma(d, ((d / (((D * D) * w) * h)) * c0), (((d * d) / ((D * D) * fabs((h * w)))) * c0));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(c0 / Float64(2.0 * w))
	t_1 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(t_0 * Float64(t_1 + sqrt(Float64(Float64(t_1 * t_1) - Float64(M * M))))) <= Inf)
		tmp = Float64(t_0 * fma(d, Float64(Float64(d / Float64(Float64(Float64(D * D) * w) * h)) * c0), Float64(Float64(Float64(d * d) / Float64(Float64(D * D) * abs(Float64(h * w)))) * c0)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$0 * N[(t$95$1 + N[Sqrt[N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(t$95$0 * N[(d * N[(N[(d / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision] + N[(N[(N[(d * d), $MachinePrecision] / N[(N[(D * D), $MachinePrecision] * N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{c0}{2 \cdot w}\\
t_1 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;t\_0 \cdot \left(t\_1 + \sqrt{t\_1 \cdot t\_1 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(d, \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Applied rewrites17.5%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(d, \frac{d}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h} \cdot c0, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 16: 32.5% accurate, 0.6× speedup?

\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;c0 \cdot \frac{\mathsf{fma}\left(\frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, d, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)}{w + w}\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))
        INFINITY)
     (*
      c0
      (/
       (fma
        (/ (* d c0) (* (* (* D D) w) h))
        d
        (* (/ (* d d) (* (* D D) (fabs (* h w)))) c0))
       (+ w w)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))))) <= ((double) INFINITY)) {
		tmp = c0 * (fma(((d * c0) / (((D * D) * w) * h)), d, (((d * d) / ((D * D) * fabs((h * w)))) * c0)) / (w + w));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M))))) <= Inf)
		tmp = Float64(c0 * Float64(fma(Float64(Float64(d * c0) / Float64(Float64(Float64(D * D) * w) * h)), d, Float64(Float64(Float64(d * d) / Float64(Float64(D * D) * abs(Float64(h * w)))) * c0)) / Float64(w + w)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(c0 * N[(N[(N[(N[(d * c0), $MachinePrecision] / N[(N[(N[(D * D), $MachinePrecision] * w), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision] * d + N[(N[(N[(d * d), $MachinePrecision] / N[(N[(D * D), $MachinePrecision] * N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision] / N[(w + w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;c0 \cdot \frac{\mathsf{fma}\left(\frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, d, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)}{w + w}\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Applied rewrites17.5%

      \[\leadsto \color{blue}{c0 \cdot \frac{\mathsf{fma}\left(\frac{d \cdot c0}{\left(\left(D \cdot D\right) \cdot w\right) \cdot h}, d, \frac{d \cdot d}{\left(D \cdot D\right) \cdot \left|h \cdot w\right|} \cdot c0\right)}{w + w}} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 17: 32.3% accurate, 0.6× speedup?

\[\begin{array}{l} t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\ \mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}, c0, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right) \cdot \frac{c0}{w + w}\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (/ (* c0 (* d d)) (* (* w h) (* D D)))))
   (if (<=
        (* (/ c0 (* 2.0 w)) (+ t_0 (sqrt (- (* t_0 t_0) (* M M)))))
        INFINITY)
     (*
      (fma
       (/ (* d d) (* (* (* D D) h) w))
       c0
       (* (* (/ d (* (fabs (* h w)) (* D D))) d) c0))
      (/ c0 (+ w w)))
     (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = (c0 * (d * d)) / ((w * h) * (D * D));
	double tmp;
	if (((c0 / (2.0 * w)) * (t_0 + sqrt(((t_0 * t_0) - (M * M))))) <= ((double) INFINITY)) {
		tmp = fma(((d * d) / (((D * D) * h) * w)), c0, (((d / (fabs((h * w)) * (D * D))) * d) * c0)) * (c0 / (w + w));
	} else {
		tmp = 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
	}
	return tmp;
}
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(c0 * Float64(d * d)) / Float64(Float64(w * h) * Float64(D * D)))
	tmp = 0.0
	if (Float64(Float64(c0 / Float64(2.0 * w)) * Float64(t_0 + sqrt(Float64(Float64(t_0 * t_0) - Float64(M * M))))) <= Inf)
		tmp = Float64(fma(Float64(Float64(d * d) / Float64(Float64(Float64(D * D) * h) * w)), c0, Float64(Float64(Float64(d / Float64(abs(Float64(h * w)) * Float64(D * D))) * d) * c0)) * Float64(c0 / Float64(w + w)));
	else
		tmp = Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w));
	end
	return tmp
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[(N[(c0 * N[(d * d), $MachinePrecision]), $MachinePrecision] / N[(N[(w * h), $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(c0 / N[(2.0 * w), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[Sqrt[N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(M * M), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], Infinity], N[(N[(N[(N[(d * d), $MachinePrecision] / N[(N[(N[(D * D), $MachinePrecision] * h), $MachinePrecision] * w), $MachinePrecision]), $MachinePrecision] * c0 + N[(N[(N[(d / N[(N[Abs[N[(h * w), $MachinePrecision]], $MachinePrecision] * N[(D * D), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] * c0), $MachinePrecision]), $MachinePrecision] * N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)}\\
\mathbf{if}\;\frac{c0}{2 \cdot w} \cdot \left(t\_0 + \sqrt{t\_0 \cdot t\_0 - M \cdot M}\right) \leq \infty:\\
\;\;\;\;\mathsf{fma}\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}, c0, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right) \cdot \frac{c0}{w + w}\\

\mathbf{else}:\\
\;\;\;\;0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M))))) < +inf.0

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around inf

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \color{blue}{\sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
      2. lower-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      3. lower-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      4. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      5. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      6. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
      9. lower-pow.f649.0%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}\right) \]
    4. Applied rewrites9.0%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \color{blue}{c0 \cdot \sqrt{\frac{{d}^{4}}{{D}^{4} \cdot \left({h}^{2} \cdot {w}^{2}\right)}}}\right) \]
    5. Applied rewrites15.4%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      3. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{\frac{d}{D \cdot D} \cdot d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right) \]
      4. associate-/l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \left(\frac{d}{D \cdot D} \cdot \frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}}\right) \cdot c0\right) \]
      5. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot \color{blue}{c0}\right)\right) \]
      8. lower-/.f6415.4%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      9. lift-sqrt.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(\left(h \cdot w\right) \cdot h\right) \cdot w}} \cdot c0\right)\right) \]
      12. associate-*l*N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      13. lift-*.f64N/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\sqrt{\left(h \cdot w\right) \cdot \left(h \cdot w\right)}} \cdot c0\right)\right) \]
      14. rem-sqrt-squareN/A

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
      15. lower-fabs.f6417.3%

        \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)\right) \]
    7. Applied rewrites17.3%

      \[\leadsto \frac{c0}{2 \cdot w} \cdot \mathsf{fma}\left(\frac{d \cdot d}{h \cdot w}, \frac{\frac{c0}{D}}{D}, \frac{d}{D \cdot D} \cdot \color{blue}{\left(\frac{d}{\left|h \cdot w\right|} \cdot c0\right)}\right) \]
    8. Applied rewrites17.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{d \cdot d}{\left(\left(D \cdot D\right) \cdot h\right) \cdot w}, c0, \left(\frac{d}{\left|h \cdot w\right| \cdot \left(D \cdot D\right)} \cdot d\right) \cdot c0\right) \cdot \frac{c0}{w + w}} \]

    if +inf.0 < (*.f64 (/.f64 c0 (*.f64 #s(literal 2 binary64) w)) (+.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (sqrt.f64 (-.f64 (*.f64 (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D))) (/.f64 (*.f64 c0 (*.f64 d d)) (*.f64 (*.f64 w h) (*.f64 D D)))) (*.f64 M M)))))

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      2. pow1/2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
      3. lift-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      4. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      5. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      6. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      7. lower-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      8. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      9. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      11. lift-pow.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
      12. pow2N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
      13. distribute-lft-neg-outN/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      14. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
      15. lower-neg.f6422.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
    6. Applied rewrites22.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 18: 22.6% accurate, 2.6× speedup?

\[0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (* 0.5 (/ (* c0 (pow (* (- M) M) 0.5)) w)))
double code(double c0, double w, double h, double D, double d, double M) {
	return 0.5 * ((c0 * pow((-M * M), 0.5)) / w);
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    code = 0.5d0 * ((c0 * ((-m * m) ** 0.5d0)) / w)
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	return 0.5 * ((c0 * Math.pow((-M * M), 0.5)) / w);
}
def code(c0, w, h, D, d, M):
	return 0.5 * ((c0 * math.pow((-M * M), 0.5)) / w)
function code(c0, w, h, D, d, M)
	return Float64(0.5 * Float64(Float64(c0 * (Float64(Float64(-M) * M) ^ 0.5)) / w))
end
function tmp = code(c0, w, h, D, d, M)
	tmp = 0.5 * ((c0 * ((-M * M) ^ 0.5)) / w);
end
code[c0_, w_, h_, D_, d_, M_] := N[(0.5 * N[(N[(c0 * N[Power[N[((-M) * M), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision] / w), $MachinePrecision]), $MachinePrecision]
0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w}
Derivation
  1. Initial program 24.6%

    \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
  2. Taylor expanded in c0 around 0

    \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
  3. Step-by-step derivation
    1. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    2. lower-/.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
    3. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    5. lower-neg.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    6. lower-pow.f6414.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
  4. Applied rewrites14.6%

    \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
  5. Step-by-step derivation
    1. lift-sqrt.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    2. pow1/2N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(-{M}^{2}\right)}^{\frac{1}{2}}}{w} \]
    3. lift-neg.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
    4. lift-pow.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
    5. pow2N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
    6. lift-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
    7. lower-pow.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
    8. lift-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
    9. pow2N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
    10. lift-pow.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
    11. lift-pow.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left({M}^{2}\right)\right)}^{\frac{1}{2}}}{w} \]
    12. pow2N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\mathsf{neg}\left(M \cdot M\right)\right)}^{\frac{1}{2}}}{w} \]
    13. distribute-lft-neg-outN/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
    14. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot {\left(\left(\mathsf{neg}\left(M\right)\right) \cdot M\right)}^{\frac{1}{2}}}{w} \]
    15. lower-neg.f6422.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  6. Applied rewrites22.6%

    \[\leadsto 0.5 \cdot \frac{c0 \cdot {\left(\left(-M\right) \cdot M\right)}^{0.5}}{w} \]
  7. Add Preprocessing

Alternative 19: 22.5% accurate, 2.1× speedup?

\[\begin{array}{l} t_0 := \left(-\left|M\right|\right) \cdot \left|M\right|\\ \mathbf{if}\;\left|M\right| \leq 3.6 \cdot 10^{-164}:\\ \;\;\;\;\frac{\sqrt{t\_0} \cdot c0}{w + w}\\ \mathbf{else}:\\ \;\;\;\;{t\_0}^{0.5} \cdot \frac{c0}{w + w}\\ \end{array} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (let* ((t_0 (* (- (fabs M)) (fabs M))))
   (if (<= (fabs M) 3.6e-164)
     (/ (* (sqrt t_0) c0) (+ w w))
     (* (pow t_0 0.5) (/ c0 (+ w w))))))
double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = -fabs(M) * fabs(M);
	double tmp;
	if (fabs(M) <= 3.6e-164) {
		tmp = (sqrt(t_0) * c0) / (w + w);
	} else {
		tmp = pow(t_0, 0.5) * (c0 / (w + w));
	}
	return tmp;
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    real(8) :: t_0
    real(8) :: tmp
    t_0 = -abs(m) * abs(m)
    if (abs(m) <= 3.6d-164) then
        tmp = (sqrt(t_0) * c0) / (w + w)
    else
        tmp = (t_0 ** 0.5d0) * (c0 / (w + w))
    end if
    code = tmp
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	double t_0 = -Math.abs(M) * Math.abs(M);
	double tmp;
	if (Math.abs(M) <= 3.6e-164) {
		tmp = (Math.sqrt(t_0) * c0) / (w + w);
	} else {
		tmp = Math.pow(t_0, 0.5) * (c0 / (w + w));
	}
	return tmp;
}
def code(c0, w, h, D, d, M):
	t_0 = -math.fabs(M) * math.fabs(M)
	tmp = 0
	if math.fabs(M) <= 3.6e-164:
		tmp = (math.sqrt(t_0) * c0) / (w + w)
	else:
		tmp = math.pow(t_0, 0.5) * (c0 / (w + w))
	return tmp
function code(c0, w, h, D, d, M)
	t_0 = Float64(Float64(-abs(M)) * abs(M))
	tmp = 0.0
	if (abs(M) <= 3.6e-164)
		tmp = Float64(Float64(sqrt(t_0) * c0) / Float64(w + w));
	else
		tmp = Float64((t_0 ^ 0.5) * Float64(c0 / Float64(w + w)));
	end
	return tmp
end
function tmp_2 = code(c0, w, h, D, d, M)
	t_0 = -abs(M) * abs(M);
	tmp = 0.0;
	if (abs(M) <= 3.6e-164)
		tmp = (sqrt(t_0) * c0) / (w + w);
	else
		tmp = (t_0 ^ 0.5) * (c0 / (w + w));
	end
	tmp_2 = tmp;
end
code[c0_, w_, h_, D_, d_, M_] := Block[{t$95$0 = N[((-N[Abs[M], $MachinePrecision]) * N[Abs[M], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[M], $MachinePrecision], 3.6e-164], N[(N[(N[Sqrt[t$95$0], $MachinePrecision] * c0), $MachinePrecision] / N[(w + w), $MachinePrecision]), $MachinePrecision], N[(N[Power[t$95$0, 0.5], $MachinePrecision] * N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \left(-\left|M\right|\right) \cdot \left|M\right|\\
\mathbf{if}\;\left|M\right| \leq 3.6 \cdot 10^{-164}:\\
\;\;\;\;\frac{\sqrt{t\_0} \cdot c0}{w + w}\\

\mathbf{else}:\\
\;\;\;\;{t\_0}^{0.5} \cdot \frac{c0}{w + w}\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if M < 3.5999999999999999e-164

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{\color{blue}{w}} \]
      3. associate-*r/N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
      4. lower-/.f64N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
      5. lift-*.f64N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{w} \]
      6. associate-*r*N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      7. lower-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      8. lower-*.f6414.6%

        \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      9. lift-neg.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      11. pow2N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left(M \cdot M\right)}}{w} \]
      12. distribute-lft-neg-outN/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
      13. lower-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
      14. lower-neg.f6414.6%

        \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
    6. Applied rewrites14.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
    7. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
      2. lift-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
      3. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
      4. lift-*.f64N/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
      5. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
      6. metadata-evalN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
      7. mult-flipN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2}}{w} \]
      8. associate-/l*N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{\frac{c0}{2}}{w}} \]
      9. associate-/r*N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
      10. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      11. lift-/.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
      12. lower-*.f6412.8%

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{2 \cdot w}} \]
      13. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      14. count-2-revN/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
      15. lower-+.f6412.8%

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
    8. Applied rewrites12.8%

      \[\leadsto \color{blue}{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w}} \]
    9. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{w + w}} \]
      2. lift-/.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{w + w}} \]
      3. lift-+.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
      4. count-2-revN/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      5. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      6. associate-*r/N/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2 \cdot w}} \]
      7. lower-/.f64N/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2 \cdot w}} \]
      8. lower-*.f6414.6%

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2} \cdot w} \]
      9. lift-*.f64N/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{2 \cdot \color{blue}{w}} \]
      10. count-2-revN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + \color{blue}{w}} \]
      11. lift-+.f6414.6%

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + \color{blue}{w}} \]
    10. Applied rewrites14.6%

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{w + w}} \]

    if 3.5999999999999999e-164 < M

    1. Initial program 24.6%

      \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
    2. Taylor expanded in c0 around 0

      \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
      2. lower-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
      3. lower-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      4. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      5. lower-neg.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
      6. lower-pow.f6414.6%

        \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    4. Applied rewrites14.6%

      \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    5. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
      2. lift-/.f64N/A

        \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{\color{blue}{w}} \]
      3. associate-*r/N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
      4. lower-/.f64N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
      5. lift-*.f64N/A

        \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{w} \]
      6. associate-*r*N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      7. lower-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      8. lower-*.f6414.6%

        \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
      9. lift-neg.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      10. lift-pow.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
      11. pow2N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left(M \cdot M\right)}}{w} \]
      12. distribute-lft-neg-outN/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
      13. lower-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
      14. lower-neg.f6414.6%

        \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
    6. Applied rewrites14.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
    7. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
      2. lift-*.f64N/A

        \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
      3. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
      4. lift-*.f64N/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
      5. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
      6. metadata-evalN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
      7. mult-flipN/A

        \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2}}{w} \]
      8. associate-/l*N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{\frac{c0}{2}}{w}} \]
      9. associate-/r*N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
      10. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      11. lift-/.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
      12. lower-*.f6412.8%

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{2 \cdot w}} \]
      13. lift-*.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
      14. count-2-revN/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
      15. lower-+.f6412.8%

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
    8. Applied rewrites12.8%

      \[\leadsto \color{blue}{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w}} \]
    9. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{\color{blue}{c0}}{w + w} \]
      2. pow1/2N/A

        \[\leadsto {\left(\left(-M\right) \cdot M\right)}^{\frac{1}{2}} \cdot \frac{\color{blue}{c0}}{w + w} \]
      3. lower-pow.f6420.7%

        \[\leadsto {\left(\left(-M\right) \cdot M\right)}^{0.5} \cdot \frac{\color{blue}{c0}}{w + w} \]
    10. Applied rewrites20.7%

      \[\leadsto {\left(\left(-M\right) \cdot M\right)}^{0.5} \cdot \frac{\color{blue}{c0}}{w + w} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 20: 14.6% accurate, 4.9× speedup?

\[\frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + w} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (/ (* (sqrt (* (- M) M)) c0) (+ w w)))
double code(double c0, double w, double h, double D, double d, double M) {
	return (sqrt((-M * M)) * c0) / (w + w);
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    code = (sqrt((-m * m)) * c0) / (w + w)
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	return (Math.sqrt((-M * M)) * c0) / (w + w);
}
def code(c0, w, h, D, d, M):
	return (math.sqrt((-M * M)) * c0) / (w + w)
function code(c0, w, h, D, d, M)
	return Float64(Float64(sqrt(Float64(Float64(-M) * M)) * c0) / Float64(w + w))
end
function tmp = code(c0, w, h, D, d, M)
	tmp = (sqrt((-M * M)) * c0) / (w + w);
end
code[c0_, w_, h_, D_, d_, M_] := N[(N[(N[Sqrt[N[((-M) * M), $MachinePrecision]], $MachinePrecision] * c0), $MachinePrecision] / N[(w + w), $MachinePrecision]), $MachinePrecision]
\frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + w}
Derivation
  1. Initial program 24.6%

    \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
  2. Taylor expanded in c0 around 0

    \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
  3. Step-by-step derivation
    1. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    2. lower-/.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
    3. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    5. lower-neg.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    6. lower-pow.f6414.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
  4. Applied rewrites14.6%

    \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
  5. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    2. lift-/.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{\color{blue}{w}} \]
    3. associate-*r/N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
    4. lower-/.f64N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
    5. lift-*.f64N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{w} \]
    6. associate-*r*N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    7. lower-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    8. lower-*.f6414.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    9. lift-neg.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    10. lift-pow.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    11. pow2N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left(M \cdot M\right)}}{w} \]
    12. distribute-lft-neg-outN/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
    13. lower-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
    14. lower-neg.f6414.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
  6. Applied rewrites14.6%

    \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
  7. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
    2. lift-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
    3. *-commutativeN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
    4. lift-*.f64N/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
    5. *-commutativeN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
    6. metadata-evalN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
    7. mult-flipN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2}}{w} \]
    8. associate-/l*N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{\frac{c0}{2}}{w}} \]
    9. associate-/r*N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
    10. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    11. lift-/.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
    12. lower-*.f6412.8%

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{2 \cdot w}} \]
    13. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    14. count-2-revN/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
    15. lower-+.f6412.8%

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
  8. Applied rewrites12.8%

    \[\leadsto \color{blue}{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w}} \]
  9. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{w + w}} \]
    2. lift-/.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{w + w}} \]
    3. lift-+.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
    4. count-2-revN/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    5. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    6. associate-*r/N/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2 \cdot w}} \]
    7. lower-/.f64N/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2 \cdot w}} \]
    8. lower-*.f6414.6%

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{2} \cdot w} \]
    9. lift-*.f64N/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{2 \cdot \color{blue}{w}} \]
    10. count-2-revN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + \color{blue}{w}} \]
    11. lift-+.f6414.6%

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{w + \color{blue}{w}} \]
  10. Applied rewrites14.6%

    \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot c0}{\color{blue}{w + w}} \]
  11. Add Preprocessing

Alternative 21: 12.8% accurate, 4.9× speedup?

\[\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w} \]
(FPCore (c0 w h D d M)
 :precision binary64
 (* (sqrt (* (- M) M)) (/ c0 (+ w w))))
double code(double c0, double w, double h, double D, double d, double M) {
	return sqrt((-M * M)) * (c0 / (w + w));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(c0, w, h, d, d_1, m)
use fmin_fmax_functions
    real(8), intent (in) :: c0
    real(8), intent (in) :: w
    real(8), intent (in) :: h
    real(8), intent (in) :: d
    real(8), intent (in) :: d_1
    real(8), intent (in) :: m
    code = sqrt((-m * m)) * (c0 / (w + w))
end function
public static double code(double c0, double w, double h, double D, double d, double M) {
	return Math.sqrt((-M * M)) * (c0 / (w + w));
}
def code(c0, w, h, D, d, M):
	return math.sqrt((-M * M)) * (c0 / (w + w))
function code(c0, w, h, D, d, M)
	return Float64(sqrt(Float64(Float64(-M) * M)) * Float64(c0 / Float64(w + w)))
end
function tmp = code(c0, w, h, D, d, M)
	tmp = sqrt((-M * M)) * (c0 / (w + w));
end
code[c0_, w_, h_, D_, d_, M_] := N[(N[Sqrt[N[((-M) * M), $MachinePrecision]], $MachinePrecision] * N[(c0 / N[(w + w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w}
Derivation
  1. Initial program 24.6%

    \[\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right) \]
  2. Taylor expanded in c0 around 0

    \[\leadsto \color{blue}{\frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
  3. Step-by-step derivation
    1. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w}} \]
    2. lower-/.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{\color{blue}{w}} \]
    3. lower-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    5. lower-neg.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
    6. lower-pow.f6414.6%

      \[\leadsto 0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w} \]
  4. Applied rewrites14.6%

    \[\leadsto \color{blue}{0.5 \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
  5. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \frac{1}{2} \cdot \color{blue}{\frac{c0 \cdot \sqrt{-{M}^{2}}}{w}} \]
    2. lift-/.f64N/A

      \[\leadsto \frac{1}{2} \cdot \frac{c0 \cdot \sqrt{-{M}^{2}}}{\color{blue}{w}} \]
    3. associate-*r/N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
    4. lower-/.f64N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{\color{blue}{w}} \]
    5. lift-*.f64N/A

      \[\leadsto \frac{\frac{1}{2} \cdot \left(c0 \cdot \sqrt{-{M}^{2}}\right)}{w} \]
    6. associate-*r*N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    7. lower-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    8. lower-*.f6414.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{-{M}^{2}}}{w} \]
    9. lift-neg.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    10. lift-pow.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left({M}^{2}\right)}}{w} \]
    11. pow2N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\mathsf{neg}\left(M \cdot M\right)}}{w} \]
    12. distribute-lft-neg-outN/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
    13. lower-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(\mathsf{neg}\left(M\right)\right) \cdot M}}{w} \]
    14. lower-neg.f6414.6%

      \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
  6. Applied rewrites14.6%

    \[\leadsto \frac{\left(0.5 \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
  7. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{\color{blue}{w}} \]
    2. lift-*.f64N/A

      \[\leadsto \frac{\left(\frac{1}{2} \cdot c0\right) \cdot \sqrt{\left(-M\right) \cdot M}}{w} \]
    3. *-commutativeN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
    4. lift-*.f64N/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(\frac{1}{2} \cdot c0\right)}{w} \]
    5. *-commutativeN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
    6. metadata-evalN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \left(c0 \cdot \frac{1}{2}\right)}{w} \]
    7. mult-flipN/A

      \[\leadsto \frac{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2}}{w} \]
    8. associate-/l*N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{\frac{c0}{2}}{w}} \]
    9. associate-/r*N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
    10. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    11. lift-/.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{\color{blue}{2 \cdot w}} \]
    12. lower-*.f6412.8%

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \color{blue}{\frac{c0}{2 \cdot w}} \]
    13. lift-*.f64N/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{2 \cdot \color{blue}{w}} \]
    14. count-2-revN/A

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
    15. lower-+.f6412.8%

      \[\leadsto \sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + \color{blue}{w}} \]
  8. Applied rewrites12.8%

    \[\leadsto \color{blue}{\sqrt{\left(-M\right) \cdot M} \cdot \frac{c0}{w + w}} \]
  9. Add Preprocessing

Reproduce

?
herbie shell --seed 2025187 
(FPCore (c0 w h D d M)
  :name "Henrywood and Agarwal, Equation (13)"
  :precision binary64
  (* (/ c0 (* 2.0 w)) (+ (/ (* c0 (* d d)) (* (* w h) (* D D))) (sqrt (- (* (/ (* c0 (* d d)) (* (* w h) (* D D))) (/ (* c0 (* d d)) (* (* w h) (* D D)))) (* M M))))))