Henrywood and Agarwal, Equation (12)

Percentage Accurate: 66.6% → 80.5%
Time: 10.7s
Alternatives: 12
Speedup: 3.7×

Specification

?
\[\begin{array}{l} \\ \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \end{array} \]
(FPCore (d h l M D)
 :precision binary64
 (*
  (* (pow (/ d h) (/ 1.0 2.0)) (pow (/ d l) (/ 1.0 2.0)))
  (- 1.0 (* (* (/ 1.0 2.0) (pow (/ (* M D) (* 2.0 d)) 2.0)) (/ h l)))))
double code(double d, double h, double l, double M, double D) {
	return (pow((d / h), (1.0 / 2.0)) * pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
real(8) function code(d, h, l, m, d_1)
    real(8), intent (in) :: d
    real(8), intent (in) :: h
    real(8), intent (in) :: l
    real(8), intent (in) :: m
    real(8), intent (in) :: d_1
    code = (((d / h) ** (1.0d0 / 2.0d0)) * ((d / l) ** (1.0d0 / 2.0d0))) * (1.0d0 - (((1.0d0 / 2.0d0) * (((m * d_1) / (2.0d0 * d)) ** 2.0d0)) * (h / l)))
end function
public static double code(double d, double h, double l, double M, double D) {
	return (Math.pow((d / h), (1.0 / 2.0)) * Math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * Math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
def code(d, h, l, M, D):
	return (math.pow((d / h), (1.0 / 2.0)) * math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)))
function code(d, h, l, M, D)
	return Float64(Float64((Float64(d / h) ^ Float64(1.0 / 2.0)) * (Float64(d / l) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(Float64(1.0 / 2.0) * (Float64(Float64(M * D) / Float64(2.0 * d)) ^ 2.0)) * Float64(h / l))))
end
function tmp = code(d, h, l, M, D)
	tmp = (((d / h) ^ (1.0 / 2.0)) * ((d / l) ^ (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * (((M * D) / (2.0 * d)) ^ 2.0)) * (h / l)));
end
code[d_, h_, l_, M_, D_] := N[(N[(N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(d / l), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(N[(1.0 / 2.0), $MachinePrecision] * N[Power[N[(N[(M * D), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(h / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\end{array}

Sampling outcomes in binary64 precision:

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 12 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: 66.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \end{array} \]
(FPCore (d h l M D)
 :precision binary64
 (*
  (* (pow (/ d h) (/ 1.0 2.0)) (pow (/ d l) (/ 1.0 2.0)))
  (- 1.0 (* (* (/ 1.0 2.0) (pow (/ (* M D) (* 2.0 d)) 2.0)) (/ h l)))))
double code(double d, double h, double l, double M, double D) {
	return (pow((d / h), (1.0 / 2.0)) * pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
real(8) function code(d, h, l, m, d_1)
    real(8), intent (in) :: d
    real(8), intent (in) :: h
    real(8), intent (in) :: l
    real(8), intent (in) :: m
    real(8), intent (in) :: d_1
    code = (((d / h) ** (1.0d0 / 2.0d0)) * ((d / l) ** (1.0d0 / 2.0d0))) * (1.0d0 - (((1.0d0 / 2.0d0) * (((m * d_1) / (2.0d0 * d)) ** 2.0d0)) * (h / l)))
end function
public static double code(double d, double h, double l, double M, double D) {
	return (Math.pow((d / h), (1.0 / 2.0)) * Math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * Math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)));
}
def code(d, h, l, M, D):
	return (math.pow((d / h), (1.0 / 2.0)) * math.pow((d / l), (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * math.pow(((M * D) / (2.0 * d)), 2.0)) * (h / l)))
function code(d, h, l, M, D)
	return Float64(Float64((Float64(d / h) ^ Float64(1.0 / 2.0)) * (Float64(d / l) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(Float64(1.0 / 2.0) * (Float64(Float64(M * D) / Float64(2.0 * d)) ^ 2.0)) * Float64(h / l))))
end
function tmp = code(d, h, l, M, D)
	tmp = (((d / h) ^ (1.0 / 2.0)) * ((d / l) ^ (1.0 / 2.0))) * (1.0 - (((1.0 / 2.0) * (((M * D) / (2.0 * d)) ^ 2.0)) * (h / l)));
end
code[d_, h_, l_, M_, D_] := N[(N[(N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(d / l), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(N[(1.0 / 2.0), $MachinePrecision] * N[Power[N[(N[(M * D), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(h / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right)
\end{array}

Alternative 1: 80.5% accurate, 1.2× speedup?

\[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} \mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \cdot \left(\left(\sqrt{\frac{-1}{\ell}} \cdot \sqrt{-d}\right) \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \end{array} \]
D_m = (fabs.f64 D)
M_m = (fabs.f64 M)
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
(FPCore (d h l M_m D_m)
 :precision binary64
 (if (<= d -1e+36)
   (*
    (-
     1.0
     (* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
    (* (sqrt (/ 1.0 (* h l))) (- d)))
   (if (<= d -5e-310)
     (*
      (- 1.0 (* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0))))
      (* (* (sqrt (/ -1.0 l)) (sqrt (- d))) (pow (/ d h) (/ 1.0 2.0))))
     (if (<= d 3.8e-20)
       (/
        (fma
         D_m
         (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
         (/ d (sqrt h)))
        (sqrt l))
       (/
        (*
         (fma
          (* (sqrt h) -0.125)
          (* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
          (sqrt (/ 1.0 h)))
         d)
        (sqrt l))))))
D_m = fabs(D);
M_m = fabs(M);
assert(d < h && h < l && l < M_m && M_m < D_m);
double code(double d, double h, double l, double M_m, double D_m) {
	double tmp;
	if (d <= -1e+36) {
		tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
	} else if (d <= -5e-310) {
		tmp = (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0)))) * ((sqrt((-1.0 / l)) * sqrt(-d)) * pow((d / h), (1.0 / 2.0)));
	} else if (d <= 3.8e-20) {
		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
	} else {
		tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
	}
	return tmp;
}
D_m = abs(D)
M_m = abs(M)
d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
function code(d, h, l, M_m, D_m)
	tmp = 0.0
	if (d <= -1e+36)
		tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d)));
	elseif (d <= -5e-310)
		tmp = Float64(Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0)))) * Float64(Float64(sqrt(Float64(-1.0 / l)) * sqrt(Float64(-d))) * (Float64(d / h) ^ Float64(1.0 / 2.0))));
	elseif (d <= 3.8e-20)
		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
	else
		tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l));
	end
	return tmp
end
D_m = N[Abs[D], $MachinePrecision]
M_m = N[Abs[M], $MachinePrecision]
NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -1e+36], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, -5e-310], N[(N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(-1.0 / l), $MachinePrecision]], $MachinePrecision] * N[Sqrt[(-d)], $MachinePrecision]), $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
D_m = \left|D\right|
\\
M_m = \left|M\right|
\\
[d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
\\
\begin{array}{l}
\mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\
\;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\

\mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\
\;\;\;\;\left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \cdot \left(\left(\sqrt{\frac{-1}{\ell}} \cdot \sqrt{-d}\right) \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)\\

\mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
\;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\

\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 4 regimes
  2. if d < -1.00000000000000004e36

    1. Initial program 70.1%

      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
      3. clear-numN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
      4. un-div-invN/A

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

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
      6. *-commutativeN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
      7. lift-pow.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
      8. unpow2N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
      9. associate-*l*N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
      10. div-invN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
      11. times-fracN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
      12. lower-*.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
    4. Applied rewrites75.4%

      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
    5. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      3. metadata-evalN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      4. lift-pow.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      5. unpow1/2N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      6. lift-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      7. sqrt-undivN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      8. lift-sqrt.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      9. lift-sqrt.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      10. clear-numN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      11. un-div-invN/A

        \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      12. clear-numN/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      13. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      14. lower-/.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      15. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      16. lift-sqrt.f64N/A

        \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      17. sqrt-undivN/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      18. lower-sqrt.f64N/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      19. lower-/.f6476.4

        \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      20. lift-/.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      21. metadata-eval76.4

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      22. lift-pow.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      23. unpow1/2N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
      24. lower-sqrt.f6476.4

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
    6. Applied rewrites76.4%

      \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
    7. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
      2. div-invN/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)}\right) \]
      3. lift-pow.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right)\right) \]
      4. unpow-1N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right)\right) \]
      5. remove-double-divN/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right)\right) \]
      6. lower-*.f6476.4

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}\right) \cdot h\right)}\right) \]
      7. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)} \cdot h\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)\right)} \cdot h\right)\right) \]
      9. lower-*.f6476.4

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(0.5 \cdot \left(D \cdot 0.5\right)\right)\right)} \cdot h\right)\right) \]
      10. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)}\right) \cdot h\right)\right) \]
      11. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(D \cdot \frac{1}{2}\right)}\right)\right) \cdot h\right)\right) \]
      12. *-commutativeN/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(\frac{1}{2} \cdot D\right)}\right)\right) \cdot h\right)\right) \]
      13. associate-*r*N/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\left(\frac{1}{2} \cdot \frac{1}{2}\right) \cdot D\right)}\right) \cdot h\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\color{blue}{\frac{1}{4}} \cdot D\right)\right) \cdot h\right)\right) \]
      15. lower-*.f6476.4

        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(0.25 \cdot D\right)}\right) \cdot h\right)\right) \]
    8. Applied rewrites76.4%

      \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)}\right) \]
    9. Taylor expanded in d around -inf

      \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
    10. Step-by-step derivation
      1. associate-*r*N/A

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

        \[\leadsto \color{blue}{\left(\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
      3. mul-1-negN/A

        \[\leadsto \left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
      4. lower-neg.f64N/A

        \[\leadsto \left(\color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \left(\left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
      6. lower-/.f64N/A

        \[\leadsto \left(\left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
      7. lower-*.f6496.5

        \[\leadsto \left(\left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
    11. Applied rewrites96.5%

      \[\leadsto \color{blue}{\left(\left(-d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]

    if -1.00000000000000004e36 < d < -4.999999999999985e-310

    1. Initial program 74.6%

      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-pow.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      3. metadata-evalN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      4. unpow1/2N/A

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

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      6. frac-2negN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      7. div-invN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\left(\mathsf{neg}\left(d\right)\right) \cdot \frac{1}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      8. sqrt-prodN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\left(\sqrt{\mathsf{neg}\left(d\right)} \cdot \sqrt{\frac{1}{\mathsf{neg}\left(\ell\right)}}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      9. lower-*.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\left(\sqrt{\mathsf{neg}\left(d\right)} \cdot \sqrt{\frac{1}{\mathsf{neg}\left(\ell\right)}}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}} \cdot \sqrt{\frac{1}{\mathsf{neg}\left(\ell\right)}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      11. lower-neg.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{\color{blue}{-d}} \cdot \sqrt{\frac{1}{\mathsf{neg}\left(\ell\right)}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      12. lower-sqrt.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{-d} \cdot \color{blue}{\sqrt{\frac{1}{\mathsf{neg}\left(\ell\right)}}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      13. neg-mul-1N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{-d} \cdot \sqrt{\frac{1}{\color{blue}{-1 \cdot \ell}}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      14. associate-/r*N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{-d} \cdot \sqrt{\color{blue}{\frac{\frac{1}{-1}}{\ell}}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      15. metadata-evalN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{-d} \cdot \sqrt{\frac{\color{blue}{-1}}{\ell}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      16. lower-/.f6483.5

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \left(\sqrt{-d} \cdot \sqrt{\color{blue}{\frac{-1}{\ell}}}\right)\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    4. Applied rewrites83.5%

      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\left(\sqrt{-d} \cdot \sqrt{\frac{-1}{\ell}}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]

    if -4.999999999999985e-310 < d < 3.7999999999999998e-20

    1. Initial program 61.2%

      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-pow.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      3. metadata-evalN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      4. unpow1/2N/A

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

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      6. sqrt-divN/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      7. lower-/.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      9. lower-sqrt.f6464.8

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    4. Applied rewrites64.8%

      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
    5. Applied rewrites54.1%

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
    6. Taylor expanded in l around inf

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

        \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      2. associate-/l*N/A

        \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      3. associate-*l*N/A

        \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      4. associate-*r*N/A

        \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      5. *-commutativeN/A

        \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      6. associate-*r*N/A

        \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      7. associate-*r*N/A

        \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
      8. lower-fma.f64N/A

        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
    8. Applied rewrites64.0%

      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
    9. Step-by-step derivation
      1. Applied rewrites78.2%

        \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]

      if 3.7999999999999998e-20 < d

      1. Initial program 76.4%

        \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-pow.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        2. lift-/.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        3. metadata-evalN/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        4. unpow1/2N/A

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

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        6. sqrt-divN/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        7. lower-/.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        8. lower-sqrt.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        9. lower-sqrt.f6477.7

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      4. Applied rewrites77.7%

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      5. Applied rewrites73.6%

        \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
      6. Taylor expanded in d around inf

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

          \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
        2. lower-*.f64N/A

          \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
      8. Applied rewrites77.3%

        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(-0.125 \cdot \sqrt{h}, \frac{\left(M \cdot M\right) \cdot D}{\ell} \cdot \frac{\frac{D}{d}}{d}, \sqrt{\frac{1}{h}}\right) \cdot d}}{\sqrt{\ell}} \]
    10. Recombined 4 regimes into one program.
    11. Final simplification83.7%

      \[\leadsto \begin{array}{l} \mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right) \cdot h\right) \cdot \frac{D \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D \cdot M}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \cdot \left(\left(\sqrt{\frac{-1}{\ell}} \cdot \sqrt{-d}\right) \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D}{d}}{d} \cdot \frac{\left(M \cdot M\right) \cdot D}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \]
    12. Add Preprocessing

    Alternative 2: 57.0% accurate, 0.3× speedup?

    \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} t_0 := \left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\ t_1 := \frac{\left(\frac{\sqrt{h} \cdot M\_m}{d} \cdot \frac{M\_m}{\ell}\right) \cdot \left(\left(D\_m \cdot D\_m\right) \cdot -0.125\right)}{\sqrt{\ell}}\\ \mathbf{if}\;t\_0 \leq -4 \cdot 10^{-66}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 10^{+238}:\\ \;\;\;\;1 \cdot \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right)\\ \mathbf{elif}\;t\_0 \leq \infty:\\ \;\;\;\;\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}} \cdot 1\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \end{array} \]
    D_m = (fabs.f64 D)
    M_m = (fabs.f64 M)
    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
    (FPCore (d h l M_m D_m)
     :precision binary64
     (let* ((t_0
             (*
              (* (pow (/ d l) (/ 1.0 2.0)) (pow (/ d h) (/ 1.0 2.0)))
              (-
               1.0
               (* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0))))))
            (t_1
             (/
              (* (* (/ (* (sqrt h) M_m) d) (/ M_m l)) (* (* D_m D_m) -0.125))
              (sqrt l))))
       (if (<= t_0 -4e-66)
         t_1
         (if (<= t_0 1e+238)
           (* 1.0 (* (sqrt (/ d h)) (sqrt (/ d l))))
           (if (<= t_0 INFINITY) (* (/ (sqrt (* d d)) (sqrt (* h l))) 1.0) t_1)))))
    D_m = fabs(D);
    M_m = fabs(M);
    assert(d < h && h < l && l < M_m && M_m < D_m);
    double code(double d, double h, double l, double M_m, double D_m) {
    	double t_0 = (pow((d / l), (1.0 / 2.0)) * pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
    	double t_1 = ((((sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / sqrt(l);
    	double tmp;
    	if (t_0 <= -4e-66) {
    		tmp = t_1;
    	} else if (t_0 <= 1e+238) {
    		tmp = 1.0 * (sqrt((d / h)) * sqrt((d / l)));
    	} else if (t_0 <= ((double) INFINITY)) {
    		tmp = (sqrt((d * d)) / sqrt((h * l))) * 1.0;
    	} else {
    		tmp = t_1;
    	}
    	return tmp;
    }
    
    D_m = Math.abs(D);
    M_m = Math.abs(M);
    assert d < h && h < l && l < M_m && M_m < D_m;
    public static double code(double d, double h, double l, double M_m, double D_m) {
    	double t_0 = (Math.pow((d / l), (1.0 / 2.0)) * Math.pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (Math.pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
    	double t_1 = ((((Math.sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / Math.sqrt(l);
    	double tmp;
    	if (t_0 <= -4e-66) {
    		tmp = t_1;
    	} else if (t_0 <= 1e+238) {
    		tmp = 1.0 * (Math.sqrt((d / h)) * Math.sqrt((d / l)));
    	} else if (t_0 <= Double.POSITIVE_INFINITY) {
    		tmp = (Math.sqrt((d * d)) / Math.sqrt((h * l))) * 1.0;
    	} else {
    		tmp = t_1;
    	}
    	return tmp;
    }
    
    D_m = math.fabs(D)
    M_m = math.fabs(M)
    [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
    def code(d, h, l, M_m, D_m):
    	t_0 = (math.pow((d / l), (1.0 / 2.0)) * math.pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (math.pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))))
    	t_1 = ((((math.sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / math.sqrt(l)
    	tmp = 0
    	if t_0 <= -4e-66:
    		tmp = t_1
    	elif t_0 <= 1e+238:
    		tmp = 1.0 * (math.sqrt((d / h)) * math.sqrt((d / l)))
    	elif t_0 <= math.inf:
    		tmp = (math.sqrt((d * d)) / math.sqrt((h * l))) * 1.0
    	else:
    		tmp = t_1
    	return tmp
    
    D_m = abs(D)
    M_m = abs(M)
    d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
    function code(d, h, l, M_m, D_m)
    	t_0 = Float64(Float64((Float64(d / l) ^ Float64(1.0 / 2.0)) * (Float64(d / h) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0)))))
    	t_1 = Float64(Float64(Float64(Float64(Float64(sqrt(h) * M_m) / d) * Float64(M_m / l)) * Float64(Float64(D_m * D_m) * -0.125)) / sqrt(l))
    	tmp = 0.0
    	if (t_0 <= -4e-66)
    		tmp = t_1;
    	elseif (t_0 <= 1e+238)
    		tmp = Float64(1.0 * Float64(sqrt(Float64(d / h)) * sqrt(Float64(d / l))));
    	elseif (t_0 <= Inf)
    		tmp = Float64(Float64(sqrt(Float64(d * d)) / sqrt(Float64(h * l))) * 1.0);
    	else
    		tmp = t_1;
    	end
    	return tmp
    end
    
    D_m = abs(D);
    M_m = abs(M);
    d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
    function tmp_2 = code(d, h, l, M_m, D_m)
    	t_0 = (((d / l) ^ (1.0 / 2.0)) * ((d / h) ^ (1.0 / 2.0))) * (1.0 - ((h / l) * ((((D_m * M_m) / (2.0 * d)) ^ 2.0) * (1.0 / 2.0))));
    	t_1 = ((((sqrt(h) * M_m) / d) * (M_m / l)) * ((D_m * D_m) * -0.125)) / sqrt(l);
    	tmp = 0.0;
    	if (t_0 <= -4e-66)
    		tmp = t_1;
    	elseif (t_0 <= 1e+238)
    		tmp = 1.0 * (sqrt((d / h)) * sqrt((d / l)));
    	elseif (t_0 <= Inf)
    		tmp = (sqrt((d * d)) / sqrt((h * l))) * 1.0;
    	else
    		tmp = t_1;
    	end
    	tmp_2 = tmp;
    end
    
    D_m = N[Abs[D], $MachinePrecision]
    M_m = N[Abs[M], $MachinePrecision]
    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
    code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[(N[(N[Power[N[(d / l), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * M$95$m), $MachinePrecision] / d), $MachinePrecision] * N[(M$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(D$95$m * D$95$m), $MachinePrecision] * -0.125), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -4e-66], t$95$1, If[LessEqual[t$95$0, 1e+238], N[(1.0 * N[(N[Sqrt[N[(d / h), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(d / l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, Infinity], N[(N[(N[Sqrt[N[(d * d), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision], t$95$1]]]]]
    
    \begin{array}{l}
    D_m = \left|D\right|
    \\
    M_m = \left|M\right|
    \\
    [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
    \\
    \begin{array}{l}
    t_0 := \left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\
    t_1 := \frac{\left(\frac{\sqrt{h} \cdot M\_m}{d} \cdot \frac{M\_m}{\ell}\right) \cdot \left(\left(D\_m \cdot D\_m\right) \cdot -0.125\right)}{\sqrt{\ell}}\\
    \mathbf{if}\;t\_0 \leq -4 \cdot 10^{-66}:\\
    \;\;\;\;t\_1\\
    
    \mathbf{elif}\;t\_0 \leq 10^{+238}:\\
    \;\;\;\;1 \cdot \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right)\\
    
    \mathbf{elif}\;t\_0 \leq \infty:\\
    \;\;\;\;\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}} \cdot 1\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_1\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 3 regimes
    2. if (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < -3.9999999999999999e-66 or +inf.0 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l))))

      1. Initial program 64.1%

        \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-pow.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        2. lift-/.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        3. metadata-evalN/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        4. unpow1/2N/A

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

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        6. sqrt-divN/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        7. lower-/.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        8. lower-sqrt.f64N/A

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        9. lower-sqrt.f6434.5

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      4. Applied rewrites34.5%

        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
      5. Applied rewrites29.5%

        \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
      6. Taylor expanded in l around inf

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

          \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        2. associate-/l*N/A

          \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        3. associate-*l*N/A

          \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        4. associate-*r*N/A

          \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        5. *-commutativeN/A

          \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        6. associate-*r*N/A

          \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        7. associate-*r*N/A

          \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
        8. lower-fma.f64N/A

          \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
      8. Applied rewrites34.2%

        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
      9. Taylor expanded in h around -inf

        \[\leadsto \frac{\frac{1}{8} \cdot \color{blue}{\left(\frac{{D}^{2} \cdot \left({M}^{2} \cdot {\left(\sqrt{-1}\right)}^{2}\right)}{d \cdot \ell} \cdot \sqrt{h}\right)}}{\sqrt{\ell}} \]
      10. Step-by-step derivation
        1. Applied rewrites41.6%

          \[\leadsto \frac{\left(\left(D \cdot D\right) \cdot -0.125\right) \cdot \color{blue}{\left(\frac{M}{\ell} \cdot \frac{M \cdot \sqrt{h}}{d}\right)}}{\sqrt{\ell}} \]

        if -3.9999999999999999e-66 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < 1e238

        1. Initial program 90.4%

          \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
        2. Add Preprocessing
        3. Taylor expanded in d around inf

          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
        4. Step-by-step derivation
          1. Applied rewrites89.3%

            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
          2. Step-by-step derivation
            1. lift-*.f64N/A

              \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot 1 \]
            2. lift-/.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot 1 \]
            3. metadata-evalN/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot 1 \]
            4. lift-pow.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot 1 \]
            5. unpow1/2N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot 1 \]
            6. lift-/.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot 1 \]
            7. sqrt-undivN/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot 1 \]
            8. lift-sqrt.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot 1 \]
            9. lift-sqrt.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot 1 \]
            10. lift-/.f64N/A

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot 1 \]
            11. *-commutativeN/A

              \[\leadsto \color{blue}{\left(\frac{\sqrt{d}}{\sqrt{\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot 1 \]
            12. lower-*.f6443.9

              \[\leadsto \color{blue}{\left(\frac{\sqrt{d}}{\sqrt{\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot 1 \]
            13. lift-/.f64N/A

              \[\leadsto \left(\color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            14. lift-sqrt.f64N/A

              \[\leadsto \left(\frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            15. lift-sqrt.f64N/A

              \[\leadsto \left(\frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            16. sqrt-undivN/A

              \[\leadsto \left(\color{blue}{\sqrt{\frac{d}{\ell}}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            17. lift-/.f64N/A

              \[\leadsto \left(\sqrt{\color{blue}{\frac{d}{\ell}}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            18. lower-sqrt.f6489.3

              \[\leadsto \left(\color{blue}{\sqrt{\frac{d}{\ell}}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
            19. lift-/.f64N/A

              \[\leadsto \left(\sqrt{\frac{d}{\ell}} \cdot {\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot 1 \]
            20. metadata-eval89.3

              \[\leadsto \left(\sqrt{\frac{d}{\ell}} \cdot {\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}\right) \cdot 1 \]
            21. lift-pow.f64N/A

              \[\leadsto \left(\sqrt{\frac{d}{\ell}} \cdot \color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}\right) \cdot 1 \]
            22. unpow1/2N/A

              \[\leadsto \left(\sqrt{\frac{d}{\ell}} \cdot \color{blue}{\sqrt{\frac{d}{h}}}\right) \cdot 1 \]
            23. lower-sqrt.f6489.3

              \[\leadsto \left(\sqrt{\frac{d}{\ell}} \cdot \color{blue}{\sqrt{\frac{d}{h}}}\right) \cdot 1 \]
          3. Applied rewrites89.3%

            \[\leadsto \color{blue}{\left(\sqrt{\frac{d}{\ell}} \cdot \sqrt{\frac{d}{h}}\right)} \cdot 1 \]

          if 1e238 < (*.f64 (*.f64 (pow.f64 (/.f64 d h) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64))) (pow.f64 (/.f64 d l) (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)))) (-.f64 #s(literal 1 binary64) (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) #s(literal 2 binary64)) (pow.f64 (/.f64 (*.f64 M D) (*.f64 #s(literal 2 binary64) d)) #s(literal 2 binary64))) (/.f64 h l)))) < +inf.0

          1. Initial program 49.8%

            \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
          2. Add Preprocessing
          3. Taylor expanded in d around inf

            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
          4. Step-by-step derivation
            1. Applied rewrites49.8%

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
            2. Step-by-step derivation
              1. lift-*.f64N/A

                \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot 1 \]
              2. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
              3. metadata-evalN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\color{blue}{\frac{1}{2}}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
              4. lift-pow.f64N/A

                \[\leadsto \left(\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot 1 \]
              5. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\frac{1}{2}} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot 1 \]
              6. metadata-evalN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\frac{1}{2}} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot 1 \]
              7. lift-pow.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\frac{1}{2}} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot 1 \]
              8. pow-prod-downN/A

                \[\leadsto \color{blue}{{\left(\frac{d}{h} \cdot \frac{d}{\ell}\right)}^{\frac{1}{2}}} \cdot 1 \]
              9. unpow1/2N/A

                \[\leadsto \color{blue}{\sqrt{\frac{d}{h} \cdot \frac{d}{\ell}}} \cdot 1 \]
              10. lift-/.f64N/A

                \[\leadsto \sqrt{\color{blue}{\frac{d}{h}} \cdot \frac{d}{\ell}} \cdot 1 \]
              11. lift-/.f64N/A

                \[\leadsto \sqrt{\frac{d}{h} \cdot \color{blue}{\frac{d}{\ell}}} \cdot 1 \]
              12. frac-timesN/A

                \[\leadsto \sqrt{\color{blue}{\frac{d \cdot d}{h \cdot \ell}}} \cdot 1 \]
              13. sqrt-divN/A

                \[\leadsto \color{blue}{\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}}} \cdot 1 \]
              14. lower-/.f64N/A

                \[\leadsto \color{blue}{\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}}} \cdot 1 \]
              15. lower-sqrt.f64N/A

                \[\leadsto \frac{\color{blue}{\sqrt{d \cdot d}}}{\sqrt{h \cdot \ell}} \cdot 1 \]
              16. lower-*.f64N/A

                \[\leadsto \frac{\sqrt{\color{blue}{d \cdot d}}}{\sqrt{h \cdot \ell}} \cdot 1 \]
              17. lower-sqrt.f64N/A

                \[\leadsto \frac{\sqrt{d \cdot d}}{\color{blue}{\sqrt{h \cdot \ell}}} \cdot 1 \]
              18. lower-*.f6463.9

                \[\leadsto \frac{\sqrt{d \cdot d}}{\sqrt{\color{blue}{h \cdot \ell}}} \cdot 1 \]
            3. Applied rewrites63.9%

              \[\leadsto \color{blue}{\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}}} \cdot 1 \]
          5. Recombined 3 regimes into one program.
          6. Final simplification61.0%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D \cdot M}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \leq -4 \cdot 10^{-66}:\\ \;\;\;\;\frac{\left(\frac{\sqrt{h} \cdot M}{d} \cdot \frac{M}{\ell}\right) \cdot \left(\left(D \cdot D\right) \cdot -0.125\right)}{\sqrt{\ell}}\\ \mathbf{elif}\;\left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D \cdot M}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \leq 10^{+238}:\\ \;\;\;\;1 \cdot \left(\sqrt{\frac{d}{h}} \cdot \sqrt{\frac{d}{\ell}}\right)\\ \mathbf{elif}\;\left({\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D \cdot M}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right) \leq \infty:\\ \;\;\;\;\frac{\sqrt{d \cdot d}}{\sqrt{h \cdot \ell}} \cdot 1\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{\sqrt{h} \cdot M}{d} \cdot \frac{M}{\ell}\right) \cdot \left(\left(D \cdot D\right) \cdot -0.125\right)}{\sqrt{\ell}}\\ \end{array} \]
          7. Add Preprocessing

          Alternative 3: 80.5% accurate, 1.2× speedup?

          \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} \mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(\frac{\sqrt{-d}}{\sqrt{-\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \end{array} \]
          D_m = (fabs.f64 D)
          M_m = (fabs.f64 M)
          NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
          (FPCore (d h l M_m D_m)
           :precision binary64
           (if (<= d -1e+36)
             (*
              (-
               1.0
               (* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
              (* (sqrt (/ 1.0 (* h l))) (- d)))
             (if (<= d -5e-310)
               (*
                (* (/ (sqrt (- d)) (sqrt (- l))) (pow (/ d h) (/ 1.0 2.0)))
                (- 1.0 (* (/ h l) (* (pow (/ (* D_m M_m) (* 2.0 d)) 2.0) (/ 1.0 2.0)))))
               (if (<= d 3.8e-20)
                 (/
                  (fma
                   D_m
                   (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
                   (/ d (sqrt h)))
                  (sqrt l))
                 (/
                  (*
                   (fma
                    (* (sqrt h) -0.125)
                    (* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
                    (sqrt (/ 1.0 h)))
                   d)
                  (sqrt l))))))
          D_m = fabs(D);
          M_m = fabs(M);
          assert(d < h && h < l && l < M_m && M_m < D_m);
          double code(double d, double h, double l, double M_m, double D_m) {
          	double tmp;
          	if (d <= -1e+36) {
          		tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
          	} else if (d <= -5e-310) {
          		tmp = ((sqrt(-d) / sqrt(-l)) * pow((d / h), (1.0 / 2.0))) * (1.0 - ((h / l) * (pow(((D_m * M_m) / (2.0 * d)), 2.0) * (1.0 / 2.0))));
          	} else if (d <= 3.8e-20) {
          		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
          	} else {
          		tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
          	}
          	return tmp;
          }
          
          D_m = abs(D)
          M_m = abs(M)
          d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
          function code(d, h, l, M_m, D_m)
          	tmp = 0.0
          	if (d <= -1e+36)
          		tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d)));
          	elseif (d <= -5e-310)
          		tmp = Float64(Float64(Float64(sqrt(Float64(-d)) / sqrt(Float64(-l))) * (Float64(d / h) ^ Float64(1.0 / 2.0))) * Float64(1.0 - Float64(Float64(h / l) * Float64((Float64(Float64(D_m * M_m) / Float64(2.0 * d)) ^ 2.0) * Float64(1.0 / 2.0)))));
          	elseif (d <= 3.8e-20)
          		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
          	else
          		tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l));
          	end
          	return tmp
          end
          
          D_m = N[Abs[D], $MachinePrecision]
          M_m = N[Abs[M], $MachinePrecision]
          NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
          code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -1e+36], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, -5e-310], N[(N[(N[(N[Sqrt[(-d)], $MachinePrecision] / N[Sqrt[(-l)], $MachinePrecision]), $MachinePrecision] * N[Power[N[(d / h), $MachinePrecision], N[(1.0 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(h / l), $MachinePrecision] * N[(N[Power[N[(N[(D$95$m * M$95$m), $MachinePrecision] / N[(2.0 * d), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
          
          \begin{array}{l}
          D_m = \left|D\right|
          \\
          M_m = \left|M\right|
          \\
          [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
          \\
          \begin{array}{l}
          \mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\
          \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
          
          \mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\
          \;\;\;\;\left(\frac{\sqrt{-d}}{\sqrt{-\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D\_m \cdot M\_m}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\
          
          \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
          \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
          
          \mathbf{else}:\\
          \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 4 regimes
          2. if d < -1.00000000000000004e36

            1. Initial program 70.1%

              \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-*.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
              2. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
              3. clear-numN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
              4. un-div-invN/A

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

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
              6. *-commutativeN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
              7. lift-pow.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
              8. unpow2N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
              9. associate-*l*N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
              10. div-invN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
              11. times-fracN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
              12. lower-*.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
            4. Applied rewrites75.4%

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
            5. Step-by-step derivation
              1. lift-*.f64N/A

                \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              2. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              3. metadata-evalN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              4. lift-pow.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              5. unpow1/2N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              6. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              7. sqrt-undivN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              8. lift-sqrt.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              9. lift-sqrt.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              10. clear-numN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              11. un-div-invN/A

                \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              12. clear-numN/A

                \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              13. lower-/.f64N/A

                \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              14. lower-/.f64N/A

                \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              15. lift-sqrt.f64N/A

                \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              16. lift-sqrt.f64N/A

                \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              17. sqrt-undivN/A

                \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              18. lower-sqrt.f64N/A

                \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              19. lower-/.f6476.4

                \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              20. lift-/.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              21. metadata-eval76.4

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              22. lift-pow.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              23. unpow1/2N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              24. lower-sqrt.f6476.4

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
            6. Applied rewrites76.4%

              \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
            7. Step-by-step derivation
              1. lift-/.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
              2. div-invN/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)}\right) \]
              3. lift-pow.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right)\right) \]
              4. unpow-1N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right)\right) \]
              5. remove-double-divN/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right)\right) \]
              6. lower-*.f6476.4

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}\right) \cdot h\right)}\right) \]
              7. lift-*.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)} \cdot h\right)\right) \]
              8. *-commutativeN/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)\right)} \cdot h\right)\right) \]
              9. lower-*.f6476.4

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(0.5 \cdot \left(D \cdot 0.5\right)\right)\right)} \cdot h\right)\right) \]
              10. lift-*.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)}\right) \cdot h\right)\right) \]
              11. lift-*.f64N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(D \cdot \frac{1}{2}\right)}\right)\right) \cdot h\right)\right) \]
              12. *-commutativeN/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(\frac{1}{2} \cdot D\right)}\right)\right) \cdot h\right)\right) \]
              13. associate-*r*N/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\left(\frac{1}{2} \cdot \frac{1}{2}\right) \cdot D\right)}\right) \cdot h\right)\right) \]
              14. metadata-evalN/A

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\color{blue}{\frac{1}{4}} \cdot D\right)\right) \cdot h\right)\right) \]
              15. lower-*.f6476.4

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(0.25 \cdot D\right)}\right) \cdot h\right)\right) \]
            8. Applied rewrites76.4%

              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)}\right) \]
            9. Taylor expanded in d around -inf

              \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
            10. Step-by-step derivation
              1. associate-*r*N/A

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

                \[\leadsto \color{blue}{\left(\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
              3. mul-1-negN/A

                \[\leadsto \left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
              4. lower-neg.f64N/A

                \[\leadsto \left(\color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
              5. lower-sqrt.f64N/A

                \[\leadsto \left(\left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
              6. lower-/.f64N/A

                \[\leadsto \left(\left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
              7. lower-*.f6496.5

                \[\leadsto \left(\left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
            11. Applied rewrites96.5%

              \[\leadsto \color{blue}{\left(\left(-d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]

            if -1.00000000000000004e36 < d < -4.999999999999985e-310

            1. Initial program 74.6%

              \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-pow.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              2. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              3. metadata-evalN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              4. unpow1/2N/A

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

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              6. frac-2negN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              7. sqrt-divN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              8. lower-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              9. lower-sqrt.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              10. lower-neg.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{\color{blue}{-d}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              11. lower-sqrt.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\color{blue}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              12. lower-neg.f6483.5

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\sqrt{\color{blue}{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            4. Applied rewrites83.5%

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{-d}}{\sqrt{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]

            if -4.999999999999985e-310 < d < 3.7999999999999998e-20

            1. Initial program 61.2%

              \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-pow.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              2. lift-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              3. metadata-evalN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              4. unpow1/2N/A

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

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              6. sqrt-divN/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              7. lower-/.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              8. lower-sqrt.f64N/A

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              9. lower-sqrt.f6464.8

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            4. Applied rewrites64.8%

              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
            5. Applied rewrites54.1%

              \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
            6. Taylor expanded in l around inf

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

                \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              2. associate-/l*N/A

                \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              3. associate-*l*N/A

                \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              4. associate-*r*N/A

                \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              5. *-commutativeN/A

                \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              6. associate-*r*N/A

                \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              7. associate-*r*N/A

                \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
              8. lower-fma.f64N/A

                \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
            8. Applied rewrites64.0%

              \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
            9. Step-by-step derivation
              1. Applied rewrites78.2%

                \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]

              if 3.7999999999999998e-20 < d

              1. Initial program 76.4%

                \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-pow.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                2. lift-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                3. metadata-evalN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                4. unpow1/2N/A

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

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                6. sqrt-divN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                7. lower-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                8. lower-sqrt.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                9. lower-sqrt.f6477.7

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              4. Applied rewrites77.7%

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              5. Applied rewrites73.6%

                \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
              6. Taylor expanded in d around inf

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

                  \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
                2. lower-*.f64N/A

                  \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
              8. Applied rewrites77.3%

                \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(-0.125 \cdot \sqrt{h}, \frac{\left(M \cdot M\right) \cdot D}{\ell} \cdot \frac{\frac{D}{d}}{d}, \sqrt{\frac{1}{h}}\right) \cdot d}}{\sqrt{\ell}} \]
            10. Recombined 4 regimes into one program.
            11. Final simplification83.7%

              \[\leadsto \begin{array}{l} \mathbf{if}\;d \leq -1 \cdot 10^{+36}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right) \cdot h\right) \cdot \frac{D \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(\frac{\sqrt{-d}}{\sqrt{-\ell}} \cdot {\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{h}{\ell} \cdot \left({\left(\frac{D \cdot M}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}\right)\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D}{d}}{d} \cdot \frac{\left(M \cdot M\right) \cdot D}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \]
            12. Add Preprocessing

            Alternative 4: 82.0% accurate, 3.2× speedup?

            \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} \mathbf{if}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \end{array} \]
            D_m = (fabs.f64 D)
            M_m = (fabs.f64 M)
            NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
            (FPCore (d h l M_m D_m)
             :precision binary64
             (if (<= d -5e-310)
               (*
                (fma
                 (* (/ (* (- D_m) (* M_m (/ 0.5 d))) l) (* (* 0.25 D_m) (/ M_m d)))
                 h
                 1.0)
                (* (sqrt (/ 1.0 (* h l))) (- d)))
               (if (<= d 3.8e-20)
                 (/
                  (fma
                   D_m
                   (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
                   (/ d (sqrt h)))
                  (sqrt l))
                 (/
                  (*
                   (fma
                    (* (sqrt h) -0.125)
                    (* (/ (/ D_m d) d) (/ (* (* M_m M_m) D_m) l))
                    (sqrt (/ 1.0 h)))
                   d)
                  (sqrt l)))))
            D_m = fabs(D);
            M_m = fabs(M);
            assert(d < h && h < l && l < M_m && M_m < D_m);
            double code(double d, double h, double l, double M_m, double D_m) {
            	double tmp;
            	if (d <= -5e-310) {
            		tmp = fma((((-D_m * (M_m * (0.5 / d))) / l) * ((0.25 * D_m) * (M_m / d))), h, 1.0) * (sqrt((1.0 / (h * l))) * -d);
            	} else if (d <= 3.8e-20) {
            		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
            	} else {
            		tmp = (fma((sqrt(h) * -0.125), (((D_m / d) / d) * (((M_m * M_m) * D_m) / l)), sqrt((1.0 / h))) * d) / sqrt(l);
            	}
            	return tmp;
            }
            
            D_m = abs(D)
            M_m = abs(M)
            d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
            function code(d, h, l, M_m, D_m)
            	tmp = 0.0
            	if (d <= -5e-310)
            		tmp = Float64(fma(Float64(Float64(Float64(Float64(-D_m) * Float64(M_m * Float64(0.5 / d))) / l) * Float64(Float64(0.25 * D_m) * Float64(M_m / d))), h, 1.0) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d)));
            	elseif (d <= 3.8e-20)
            		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
            	else
            		tmp = Float64(Float64(fma(Float64(sqrt(h) * -0.125), Float64(Float64(Float64(D_m / d) / d) * Float64(Float64(Float64(M_m * M_m) * D_m) / l)), sqrt(Float64(1.0 / h))) * d) / sqrt(l));
            	end
            	return tmp
            end
            
            D_m = N[Abs[D], $MachinePrecision]
            M_m = N[Abs[M], $MachinePrecision]
            NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
            code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[d, -5e-310], N[(N[(N[(N[(N[((-D$95$m) * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * h + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], If[LessEqual[d, 3.8e-20], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Sqrt[h], $MachinePrecision] * -0.125), $MachinePrecision] * N[(N[(N[(D$95$m / d), $MachinePrecision] / d), $MachinePrecision] * N[(N[(N[(M$95$m * M$95$m), $MachinePrecision] * D$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 / h), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * d), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]
            
            \begin{array}{l}
            D_m = \left|D\right|
            \\
            M_m = \left|M\right|
            \\
            [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
            \\
            \begin{array}{l}
            \mathbf{if}\;d \leq -5 \cdot 10^{-310}:\\
            \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
            
            \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\
            \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
            
            \mathbf{else}:\\
            \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D\_m}{d}}{d} \cdot \frac{\left(M\_m \cdot M\_m\right) \cdot D\_m}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 3 regimes
            2. if d < -4.999999999999985e-310

              1. Initial program 72.4%

                \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
                2. lift-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
                3. clear-numN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
                4. un-div-invN/A

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

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
                6. *-commutativeN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
                7. lift-pow.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                8. unpow2N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                9. associate-*l*N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
                10. div-invN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
                11. times-fracN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                12. lower-*.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
              4. Applied rewrites75.1%

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
              5. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                2. lift-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                3. metadata-evalN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                4. lift-pow.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                5. unpow1/2N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                6. lift-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                7. sqrt-undivN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                8. lift-sqrt.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                9. lift-sqrt.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                10. clear-numN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                11. un-div-invN/A

                  \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                12. clear-numN/A

                  \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                13. lower-/.f64N/A

                  \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                14. lower-/.f64N/A

                  \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                15. lift-sqrt.f64N/A

                  \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                16. lift-sqrt.f64N/A

                  \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                17. sqrt-undivN/A

                  \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                18. lower-sqrt.f64N/A

                  \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                19. lower-/.f6474.1

                  \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                20. lift-/.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                21. metadata-eval74.1

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                22. lift-pow.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                23. unpow1/2N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                24. lower-sqrt.f6474.1

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              6. Applied rewrites74.1%

                \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
              7. Step-by-step derivation
                1. lift--.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)} \]
                2. sub-negN/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)\right)\right)} \]
                3. +-commutativeN/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)\right) + 1\right)} \]
                4. lift-*.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\color{blue}{\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right)\right) + 1\right) \]
                5. distribute-lft-neg-inN/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\color{blue}{\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}} + 1\right) \]
                6. lift-/.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}} + 1\right) \]
                7. div-invN/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)} + 1\right) \]
                8. lift-pow.f64N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right) + 1\right) \]
                9. unpow-1N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right) + 1\right) \]
                10. remove-double-divN/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right) + 1\right) \]
                11. associate-*r*N/A

                  \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)\right) \cdot h} + 1\right) \]
              8. Applied rewrites74.1%

                \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right)} \]
              9. Taylor expanded in d around -inf

                \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
              10. Step-by-step derivation
                1. associate-*r*N/A

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

                  \[\leadsto \color{blue}{\left(\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
                3. mul-1-negN/A

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

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

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

                  \[\leadsto \left(\left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}}\right) \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
                7. lower-*.f6484.0

                  \[\leadsto \left(\left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{h \cdot \ell}}}\right) \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right) \]
              11. Applied rewrites84.0%

                \[\leadsto \color{blue}{\left(\left(-d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right) \]

              if -4.999999999999985e-310 < d < 3.7999999999999998e-20

              1. Initial program 61.2%

                \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-pow.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                2. lift-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                3. metadata-evalN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                4. unpow1/2N/A

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

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                6. sqrt-divN/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                7. lower-/.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                8. lower-sqrt.f64N/A

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                9. lower-sqrt.f6464.8

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              4. Applied rewrites64.8%

                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
              5. Applied rewrites54.1%

                \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
              6. Taylor expanded in l around inf

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

                  \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                2. associate-/l*N/A

                  \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                3. associate-*l*N/A

                  \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                4. associate-*r*N/A

                  \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                5. *-commutativeN/A

                  \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                6. associate-*r*N/A

                  \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                7. associate-*r*N/A

                  \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                8. lower-fma.f64N/A

                  \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
              8. Applied rewrites64.0%

                \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
              9. Step-by-step derivation
                1. Applied rewrites78.2%

                  \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]

                if 3.7999999999999998e-20 < d

                1. Initial program 76.4%

                  \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                2. Add Preprocessing
                3. Step-by-step derivation
                  1. lift-pow.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  2. lift-/.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  3. metadata-evalN/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  4. unpow1/2N/A

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

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  6. sqrt-divN/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  7. lower-/.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  8. lower-sqrt.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  9. lower-sqrt.f6477.7

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                4. Applied rewrites77.7%

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                5. Applied rewrites73.6%

                  \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
                6. Taylor expanded in d around inf

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

                    \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
                  2. lower-*.f64N/A

                    \[\leadsto \frac{\color{blue}{\left(\sqrt{\frac{1}{h}} + \frac{-1}{8} \cdot \left(\frac{{D}^{2} \cdot {M}^{2}}{{d}^{2} \cdot \ell} \cdot \sqrt{h}\right)\right) \cdot d}}{\sqrt{\ell}} \]
                8. Applied rewrites77.3%

                  \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(-0.125 \cdot \sqrt{h}, \frac{\left(M \cdot M\right) \cdot D}{\ell} \cdot \frac{\frac{D}{d}}{d}, \sqrt{\frac{1}{h}}\right) \cdot d}}{\sqrt{\ell}} \]
              10. Recombined 3 regimes into one program.
              11. Final simplification80.9%

                \[\leadsto \begin{array}{l} \mathbf{if}\;d \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{elif}\;d \leq 3.8 \cdot 10^{-20}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\sqrt{h} \cdot -0.125, \frac{\frac{D}{d}}{d} \cdot \frac{\left(M \cdot M\right) \cdot D}{\ell}, \sqrt{\frac{1}{h}}\right) \cdot d}{\sqrt{\ell}}\\ \end{array} \]
              12. Add Preprocessing

              Alternative 5: 64.8% accurate, 3.7× speedup?

              \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\ \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;t\_0 \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;t\_0 \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \end{array} \]
              D_m = (fabs.f64 D)
              M_m = (fabs.f64 M)
              NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
              (FPCore (d h l M_m D_m)
               :precision binary64
               (let* ((t_0 (sqrt (/ 1.0 (* h l)))))
                 (if (<= l -1.7e-220)
                   (* t_0 (- d))
                   (if (<= l -5e-310)
                     (* t_0 d)
                     (/
                      (fma
                       D_m
                       (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
                       (/ d (sqrt h)))
                      (sqrt l))))))
              D_m = fabs(D);
              M_m = fabs(M);
              assert(d < h && h < l && l < M_m && M_m < D_m);
              double code(double d, double h, double l, double M_m, double D_m) {
              	double t_0 = sqrt((1.0 / (h * l)));
              	double tmp;
              	if (l <= -1.7e-220) {
              		tmp = t_0 * -d;
              	} else if (l <= -5e-310) {
              		tmp = t_0 * d;
              	} else {
              		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
              	}
              	return tmp;
              }
              
              D_m = abs(D)
              M_m = abs(M)
              d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
              function code(d, h, l, M_m, D_m)
              	t_0 = sqrt(Float64(1.0 / Float64(h * l)))
              	tmp = 0.0
              	if (l <= -1.7e-220)
              		tmp = Float64(t_0 * Float64(-d));
              	elseif (l <= -5e-310)
              		tmp = Float64(t_0 * d);
              	else
              		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
              	end
              	return tmp
              end
              
              D_m = N[Abs[D], $MachinePrecision]
              M_m = N[Abs[M], $MachinePrecision]
              NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
              code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]]]
              
              \begin{array}{l}
              D_m = \left|D\right|
              \\
              M_m = \left|M\right|
              \\
              [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
              \\
              \begin{array}{l}
              t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
              \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
              \;\;\;\;t\_0 \cdot \left(-d\right)\\
              
              \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
              \;\;\;\;t\_0 \cdot d\\
              
              \mathbf{else}:\\
              \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
              
              
              \end{array}
              \end{array}
              
              Derivation
              1. Split input into 3 regimes
              2. if l < -1.69999999999999997e-220

                1. Initial program 70.5%

                  \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                2. Add Preprocessing
                3. Step-by-step derivation
                  1. lift-pow.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  2. lift-/.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  3. metadata-evalN/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  4. unpow1/2N/A

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

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  6. frac-2negN/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  7. sqrt-divN/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  8. lower-/.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  9. lower-sqrt.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  10. lower-neg.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{\color{blue}{-d}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  11. lower-sqrt.f64N/A

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\color{blue}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  12. lower-neg.f6478.0

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\sqrt{\color{blue}{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                4. Applied rewrites78.0%

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{-d}}{\sqrt{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                5. Taylor expanded in d around -inf

                  \[\leadsto \color{blue}{-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                6. Step-by-step derivation
                  1. associate-*r*N/A

                    \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                  2. lower-*.f64N/A

                    \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                  3. mul-1-negN/A

                    \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                  4. lower-neg.f64N/A

                    \[\leadsto \color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                  5. lower-sqrt.f64N/A

                    \[\leadsto \left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \]
                  6. lower-/.f64N/A

                    \[\leadsto \left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \]
                  7. *-commutativeN/A

                    \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                  8. lower-*.f6461.4

                    \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                7. Applied rewrites61.4%

                  \[\leadsto \color{blue}{\left(-d\right) \cdot \sqrt{\frac{1}{\ell \cdot h}}} \]

                if -1.69999999999999997e-220 < l < -4.999999999999985e-310

                1. Initial program 80.2%

                  \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                2. Add Preprocessing
                3. Taylor expanded in d around inf

                  \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                4. Step-by-step derivation
                  1. Applied rewrites16.6%

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                  2. Taylor expanded in d around -inf

                    \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                  3. Step-by-step derivation
                    1. associate-*r*N/A

                      \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                    2. mul-1-negN/A

                      \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    3. *-commutativeN/A

                      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    4. unpow2N/A

                      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    5. rem-square-sqrtN/A

                      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    6. mul-1-negN/A

                      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    7. remove-double-negN/A

                      \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                    8. *-commutativeN/A

                      \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                    9. lower-*.f64N/A

                      \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                    10. lower-sqrt.f64N/A

                      \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                    11. lower-/.f64N/A

                      \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                    12. *-commutativeN/A

                      \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                    13. lower-*.f6433.9

                      \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                  4. Applied rewrites33.9%

                    \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]

                  if -4.999999999999985e-310 < l

                  1. Initial program 69.0%

                    \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  2. Add Preprocessing
                  3. Step-by-step derivation
                    1. lift-pow.f64N/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    2. lift-/.f64N/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    3. metadata-evalN/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    4. unpow1/2N/A

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

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    6. sqrt-divN/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    7. lower-/.f64N/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    8. lower-sqrt.f64N/A

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    9. lower-sqrt.f6471.5

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  4. Applied rewrites71.5%

                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                  5. Applied rewrites64.2%

                    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
                  6. Taylor expanded in l around inf

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

                      \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    2. associate-/l*N/A

                      \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    3. associate-*l*N/A

                      \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    4. associate-*r*N/A

                      \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    5. *-commutativeN/A

                      \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    6. associate-*r*N/A

                      \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    7. associate-*r*N/A

                      \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                    8. lower-fma.f64N/A

                      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
                  8. Applied rewrites63.1%

                    \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
                  9. Step-by-step derivation
                    1. Applied rewrites77.1%

                      \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]
                  10. Recombined 3 regimes into one program.
                  11. Final simplification66.6%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \]
                  12. Add Preprocessing

                  Alternative 6: 82.0% accurate, 3.7× speedup?

                  \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \end{array} \]
                  D_m = (fabs.f64 D)
                  M_m = (fabs.f64 M)
                  NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                  (FPCore (d h l M_m D_m)
                   :precision binary64
                   (if (<= l -5e-310)
                     (*
                      (fma
                       (* (/ (* (- D_m) (* M_m (/ 0.5 d))) l) (* (* 0.25 D_m) (/ M_m d)))
                       h
                       1.0)
                      (* (sqrt (/ 1.0 (* h l))) (- d)))
                     (/
                      (fma
                       D_m
                       (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
                       (/ d (sqrt h)))
                      (sqrt l))))
                  D_m = fabs(D);
                  M_m = fabs(M);
                  assert(d < h && h < l && l < M_m && M_m < D_m);
                  double code(double d, double h, double l, double M_m, double D_m) {
                  	double tmp;
                  	if (l <= -5e-310) {
                  		tmp = fma((((-D_m * (M_m * (0.5 / d))) / l) * ((0.25 * D_m) * (M_m / d))), h, 1.0) * (sqrt((1.0 / (h * l))) * -d);
                  	} else {
                  		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
                  	}
                  	return tmp;
                  }
                  
                  D_m = abs(D)
                  M_m = abs(M)
                  d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                  function code(d, h, l, M_m, D_m)
                  	tmp = 0.0
                  	if (l <= -5e-310)
                  		tmp = Float64(fma(Float64(Float64(Float64(Float64(-D_m) * Float64(M_m * Float64(0.5 / d))) / l) * Float64(Float64(0.25 * D_m) * Float64(M_m / d))), h, 1.0) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d)));
                  	else
                  		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
                  	end
                  	return tmp
                  end
                  
                  D_m = N[Abs[D], $MachinePrecision]
                  M_m = N[Abs[M], $MachinePrecision]
                  NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                  code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[l, -5e-310], N[(N[(N[(N[(N[((-D$95$m) * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * h + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]
                  
                  \begin{array}{l}
                  D_m = \left|D\right|
                  \\
                  M_m = \left|M\right|
                  \\
                  [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                  \\
                  \begin{array}{l}
                  \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\
                  \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\_m\right) \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if l < -4.999999999999985e-310

                    1. Initial program 72.4%

                      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    2. Add Preprocessing
                    3. Step-by-step derivation
                      1. lift-*.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
                      2. lift-/.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
                      3. clear-numN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
                      4. un-div-invN/A

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

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
                      6. *-commutativeN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
                      7. lift-pow.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                      8. unpow2N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                      9. associate-*l*N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
                      10. div-invN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
                      11. times-fracN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                      12. lower-*.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                    4. Applied rewrites75.1%

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
                    5. Step-by-step derivation
                      1. lift-*.f64N/A

                        \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      2. lift-/.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      3. metadata-evalN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      4. lift-pow.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      5. unpow1/2N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      6. lift-/.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      7. sqrt-undivN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      8. lift-sqrt.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      9. lift-sqrt.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      10. clear-numN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      11. un-div-invN/A

                        \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      12. clear-numN/A

                        \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      13. lower-/.f64N/A

                        \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      14. lower-/.f64N/A

                        \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      15. lift-sqrt.f64N/A

                        \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      16. lift-sqrt.f64N/A

                        \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      17. sqrt-undivN/A

                        \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      18. lower-sqrt.f64N/A

                        \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      19. lower-/.f6474.1

                        \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      20. lift-/.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      21. metadata-eval74.1

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      22. lift-pow.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      23. unpow1/2N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      24. lower-sqrt.f6474.1

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                    6. Applied rewrites74.1%

                      \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                    7. Step-by-step derivation
                      1. lift--.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)} \]
                      2. sub-negN/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)\right)\right)} \]
                      3. +-commutativeN/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right)\right) + 1\right)} \]
                      4. lift-*.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\color{blue}{\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right)\right) + 1\right) \]
                      5. distribute-lft-neg-inN/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\color{blue}{\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}} + 1\right) \]
                      6. lift-/.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}} + 1\right) \]
                      7. div-invN/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)} + 1\right) \]
                      8. lift-pow.f64N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right) + 1\right) \]
                      9. unpow-1N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right) + 1\right) \]
                      10. remove-double-divN/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right) + 1\right) \]
                      11. associate-*r*N/A

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell}\right)\right) \cdot \left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)\right) \cdot h} + 1\right) \]
                    8. Applied rewrites74.1%

                      \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \color{blue}{\mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right)} \]
                    9. Taylor expanded in d around -inf

                      \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
                    10. Step-by-step derivation
                      1. associate-*r*N/A

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

                        \[\leadsto \color{blue}{\left(\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
                      3. mul-1-negN/A

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

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

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

                        \[\leadsto \left(\left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}}\right) \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{\frac{1}{2}}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right), h, 1\right) \]
                      7. lower-*.f6484.0

                        \[\leadsto \left(\left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{h \cdot \ell}}}\right) \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right) \]
                    11. Applied rewrites84.0%

                      \[\leadsto \color{blue}{\left(\left(-d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(\frac{0.5}{d} \cdot M\right)}{\ell} \cdot \left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right), h, 1\right) \]

                    if -4.999999999999985e-310 < l

                    1. Initial program 69.0%

                      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    2. Add Preprocessing
                    3. Step-by-step derivation
                      1. lift-pow.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      2. lift-/.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      3. metadata-evalN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      4. unpow1/2N/A

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

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      6. sqrt-divN/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      7. lower-/.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      8. lower-sqrt.f64N/A

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      9. lower-sqrt.f6471.5

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    4. Applied rewrites71.5%

                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                    5. Applied rewrites64.2%

                      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
                    6. Taylor expanded in l around inf

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

                        \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      2. associate-/l*N/A

                        \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      3. associate-*l*N/A

                        \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      4. associate-*r*N/A

                        \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      5. *-commutativeN/A

                        \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      6. associate-*r*N/A

                        \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      7. associate-*r*N/A

                        \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                      8. lower-fma.f64N/A

                        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
                    8. Applied rewrites63.1%

                      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
                    9. Step-by-step derivation
                      1. Applied rewrites77.1%

                        \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]
                    10. Recombined 2 regimes into one program.
                    11. Final simplification80.6%

                      \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(-D\right) \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell} \cdot \left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right), h, 1\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \]
                    12. Add Preprocessing

                    Alternative 7: 82.7% accurate, 3.7× speedup?

                    \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \end{array} \]
                    D_m = (fabs.f64 D)
                    M_m = (fabs.f64 M)
                    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                    (FPCore (d h l M_m D_m)
                     :precision binary64
                     (if (<= l -5e-310)
                       (*
                        (-
                         1.0
                         (* (* (* (* 0.25 D_m) (/ M_m d)) h) (/ (* D_m (* M_m (/ 0.5 d))) l)))
                        (* (sqrt (/ 1.0 (* h l))) (- d)))
                       (/
                        (fma
                         D_m
                         (* (sqrt h) (* (* (/ (* (/ M_m d) M_m) l) -0.125) D_m))
                         (/ d (sqrt h)))
                        (sqrt l))))
                    D_m = fabs(D);
                    M_m = fabs(M);
                    assert(d < h && h < l && l < M_m && M_m < D_m);
                    double code(double d, double h, double l, double M_m, double D_m) {
                    	double tmp;
                    	if (l <= -5e-310) {
                    		tmp = (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l))) * (sqrt((1.0 / (h * l))) * -d);
                    	} else {
                    		tmp = fma(D_m, (sqrt(h) * (((((M_m / d) * M_m) / l) * -0.125) * D_m)), (d / sqrt(h))) / sqrt(l);
                    	}
                    	return tmp;
                    }
                    
                    D_m = abs(D)
                    M_m = abs(M)
                    d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                    function code(d, h, l, M_m, D_m)
                    	tmp = 0.0
                    	if (l <= -5e-310)
                    		tmp = Float64(Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))) * Float64(sqrt(Float64(1.0 / Float64(h * l))) * Float64(-d)));
                    	else
                    		tmp = Float64(fma(D_m, Float64(sqrt(h) * Float64(Float64(Float64(Float64(Float64(M_m / d) * M_m) / l) * -0.125) * D_m)), Float64(d / sqrt(h))) / sqrt(l));
                    	end
                    	return tmp
                    end
                    
                    D_m = N[Abs[D], $MachinePrecision]
                    M_m = N[Abs[M], $MachinePrecision]
                    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                    code[d_, h_, l_, M$95$m_, D$95$m_] := If[LessEqual[l, -5e-310], N[(N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-d)), $MachinePrecision]), $MachinePrecision], N[(N[(D$95$m * N[(N[Sqrt[h], $MachinePrecision] * N[(N[(N[(N[(N[(M$95$m / d), $MachinePrecision] * M$95$m), $MachinePrecision] / l), $MachinePrecision] * -0.125), $MachinePrecision] * D$95$m), $MachinePrecision]), $MachinePrecision] + N[(d / N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[l], $MachinePrecision]), $MachinePrecision]]
                    
                    \begin{array}{l}
                    D_m = \left|D\right|
                    \\
                    M_m = \left|M\right|
                    \\
                    [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                    \\
                    \begin{array}{l}
                    \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\
                    \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\
                    
                    \mathbf{else}:\\
                    \;\;\;\;\frac{\mathsf{fma}\left(D\_m, \sqrt{h} \cdot \left(\left(\frac{\frac{M\_m}{d} \cdot M\_m}{\ell} \cdot -0.125\right) \cdot D\_m\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\
                    
                    
                    \end{array}
                    \end{array}
                    
                    Derivation
                    1. Split input into 2 regimes
                    2. if l < -4.999999999999985e-310

                      1. Initial program 72.4%

                        \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      2. Add Preprocessing
                      3. Step-by-step derivation
                        1. lift-*.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
                        2. lift-/.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
                        3. clear-numN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
                        4. un-div-invN/A

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

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
                        6. *-commutativeN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
                        7. lift-pow.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                        8. unpow2N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                        9. associate-*l*N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
                        10. div-invN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
                        11. times-fracN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                        12. lower-*.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                      4. Applied rewrites75.1%

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
                      5. Step-by-step derivation
                        1. lift-*.f64N/A

                          \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        2. lift-/.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        3. metadata-evalN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        4. lift-pow.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        5. unpow1/2N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        6. lift-/.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        7. sqrt-undivN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        8. lift-sqrt.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        9. lift-sqrt.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        10. clear-numN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        11. un-div-invN/A

                          \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        12. clear-numN/A

                          \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        13. lower-/.f64N/A

                          \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        14. lower-/.f64N/A

                          \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        15. lift-sqrt.f64N/A

                          \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        16. lift-sqrt.f64N/A

                          \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        17. sqrt-undivN/A

                          \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        18. lower-sqrt.f64N/A

                          \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        19. lower-/.f6474.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        20. lift-/.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        21. metadata-eval74.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        22. lift-pow.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        23. unpow1/2N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                        24. lower-sqrt.f6474.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      6. Applied rewrites74.1%

                        \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                      7. Step-by-step derivation
                        1. lift-/.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
                        2. div-invN/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)}\right) \]
                        3. lift-pow.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right)\right) \]
                        4. unpow-1N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right)\right) \]
                        5. remove-double-divN/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right)\right) \]
                        6. lower-*.f6474.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}\right) \cdot h\right)}\right) \]
                        7. lift-*.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)} \cdot h\right)\right) \]
                        8. *-commutativeN/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)\right)} \cdot h\right)\right) \]
                        9. lower-*.f6474.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(0.5 \cdot \left(D \cdot 0.5\right)\right)\right)} \cdot h\right)\right) \]
                        10. lift-*.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)}\right) \cdot h\right)\right) \]
                        11. lift-*.f64N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(D \cdot \frac{1}{2}\right)}\right)\right) \cdot h\right)\right) \]
                        12. *-commutativeN/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(\frac{1}{2} \cdot D\right)}\right)\right) \cdot h\right)\right) \]
                        13. associate-*r*N/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\left(\frac{1}{2} \cdot \frac{1}{2}\right) \cdot D\right)}\right) \cdot h\right)\right) \]
                        14. metadata-evalN/A

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\color{blue}{\frac{1}{4}} \cdot D\right)\right) \cdot h\right)\right) \]
                        15. lower-*.f6474.1

                          \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(0.25 \cdot D\right)}\right) \cdot h\right)\right) \]
                      8. Applied rewrites74.1%

                        \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)}\right) \]
                      9. Taylor expanded in d around -inf

                        \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                      10. Step-by-step derivation
                        1. associate-*r*N/A

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

                          \[\leadsto \color{blue}{\left(\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                        3. mul-1-negN/A

                          \[\leadsto \left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                        4. lower-neg.f64N/A

                          \[\leadsto \left(\color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                        5. lower-sqrt.f64N/A

                          \[\leadsto \left(\left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                        6. lower-/.f64N/A

                          \[\leadsto \left(\left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                        7. lower-*.f6484.8

                          \[\leadsto \left(\left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{h \cdot \ell}}}\right) \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
                      11. Applied rewrites84.8%

                        \[\leadsto \color{blue}{\left(\left(-d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]

                      if -4.999999999999985e-310 < l

                      1. Initial program 69.0%

                        \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      2. Add Preprocessing
                      3. Step-by-step derivation
                        1. lift-pow.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        2. lift-/.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        3. metadata-evalN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        4. unpow1/2N/A

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

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        6. sqrt-divN/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        7. lower-/.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        8. lower-sqrt.f64N/A

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        9. lower-sqrt.f6471.5

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      4. Applied rewrites71.5%

                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                      5. Applied rewrites64.2%

                        \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{h}{\ell} \cdot \left(0.25 \cdot {\left(D \cdot \frac{M}{d}\right)}^{2}\right), -0.5, 1\right) \cdot \sqrt{d \cdot \frac{d}{h}}}{\sqrt{\ell}}} \]
                      6. Taylor expanded in l around inf

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

                          \[\leadsto \frac{\color{blue}{\left(\frac{{D}^{2} \cdot {M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        2. associate-/l*N/A

                          \[\leadsto \frac{\left(\color{blue}{\left({D}^{2} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)} \cdot \sqrt{h}\right) \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        3. associate-*l*N/A

                          \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} \cdot \frac{-1}{8} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        4. associate-*r*N/A

                          \[\leadsto \frac{\color{blue}{{D}^{2} \cdot \left(\left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right) \cdot \frac{-1}{8}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        5. *-commutativeN/A

                          \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\frac{-1}{8} \cdot \left(\frac{{M}^{2}}{d \cdot \ell} \cdot \sqrt{h}\right)\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        6. associate-*r*N/A

                          \[\leadsto \frac{{D}^{2} \cdot \color{blue}{\left(\left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right) \cdot \sqrt{h}\right)} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        7. associate-*r*N/A

                          \[\leadsto \frac{\color{blue}{\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right)\right) \cdot \sqrt{h}} + d \cdot \sqrt{\frac{1}{h}}}{\sqrt{\ell}} \]
                        8. lower-fma.f64N/A

                          \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({D}^{2} \cdot \left(\frac{-1}{8} \cdot \frac{{M}^{2}}{d \cdot \ell}\right), \sqrt{h}, d \cdot \sqrt{\frac{1}{h}}\right)}}{\sqrt{\ell}} \]
                      8. Applied rewrites63.1%

                        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\left(D \cdot D\right) \cdot \left(\frac{\frac{M \cdot M}{d}}{\ell} \cdot -0.125\right), \sqrt{h}, \sqrt{\frac{1}{h}} \cdot d\right)}}{\sqrt{\ell}} \]
                      9. Step-by-step derivation
                        1. Applied rewrites77.1%

                          \[\leadsto \frac{\mathsf{fma}\left(D, \color{blue}{\left(\left(-0.125 \cdot \frac{\frac{M}{d} \cdot M}{\ell}\right) \cdot D\right) \cdot \sqrt{h}}, \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}} \]
                      10. Recombined 2 regimes into one program.
                      11. Final simplification80.9%

                        \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\left(1 - \left(\left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right) \cdot h\right) \cdot \frac{D \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell}\right) \cdot \left(\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(D, \sqrt{h} \cdot \left(\left(\frac{\frac{M}{d} \cdot M}{\ell} \cdot -0.125\right) \cdot D\right), \frac{d}{\sqrt{h}}\right)}{\sqrt{\ell}}\\ \end{array} \]
                      12. Add Preprocessing

                      Alternative 8: 60.3% accurate, 3.8× speedup?

                      \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\ \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;t\_0 \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;t\_0 \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{d}{\sqrt{h \cdot \ell}} \cdot \left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right)\\ \end{array} \end{array} \]
                      D_m = (fabs.f64 D)
                      M_m = (fabs.f64 M)
                      NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                      (FPCore (d h l M_m D_m)
                       :precision binary64
                       (let* ((t_0 (sqrt (/ 1.0 (* h l)))))
                         (if (<= l -1.7e-220)
                           (* t_0 (- d))
                           (if (<= l -5e-310)
                             (* t_0 d)
                             (*
                              (/ d (sqrt (* h l)))
                              (-
                               1.0
                               (*
                                (* (* (* 0.25 D_m) (/ M_m d)) h)
                                (/ (* D_m (* M_m (/ 0.5 d))) l))))))))
                      D_m = fabs(D);
                      M_m = fabs(M);
                      assert(d < h && h < l && l < M_m && M_m < D_m);
                      double code(double d, double h, double l, double M_m, double D_m) {
                      	double t_0 = sqrt((1.0 / (h * l)));
                      	double tmp;
                      	if (l <= -1.7e-220) {
                      		tmp = t_0 * -d;
                      	} else if (l <= -5e-310) {
                      		tmp = t_0 * d;
                      	} else {
                      		tmp = (d / sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
                      	}
                      	return tmp;
                      }
                      
                      D_m = abs(d)
                      M_m = abs(m)
                      NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                      real(8) function code(d, h, l, m_m, d_m)
                          real(8), intent (in) :: d
                          real(8), intent (in) :: h
                          real(8), intent (in) :: l
                          real(8), intent (in) :: m_m
                          real(8), intent (in) :: d_m
                          real(8) :: t_0
                          real(8) :: tmp
                          t_0 = sqrt((1.0d0 / (h * l)))
                          if (l <= (-1.7d-220)) then
                              tmp = t_0 * -d
                          else if (l <= (-5d-310)) then
                              tmp = t_0 * d
                          else
                              tmp = (d / sqrt((h * l))) * (1.0d0 - ((((0.25d0 * d_m) * (m_m / d)) * h) * ((d_m * (m_m * (0.5d0 / d))) / l)))
                          end if
                          code = tmp
                      end function
                      
                      D_m = Math.abs(D);
                      M_m = Math.abs(M);
                      assert d < h && h < l && l < M_m && M_m < D_m;
                      public static double code(double d, double h, double l, double M_m, double D_m) {
                      	double t_0 = Math.sqrt((1.0 / (h * l)));
                      	double tmp;
                      	if (l <= -1.7e-220) {
                      		tmp = t_0 * -d;
                      	} else if (l <= -5e-310) {
                      		tmp = t_0 * d;
                      	} else {
                      		tmp = (d / Math.sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
                      	}
                      	return tmp;
                      }
                      
                      D_m = math.fabs(D)
                      M_m = math.fabs(M)
                      [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
                      def code(d, h, l, M_m, D_m):
                      	t_0 = math.sqrt((1.0 / (h * l)))
                      	tmp = 0
                      	if l <= -1.7e-220:
                      		tmp = t_0 * -d
                      	elif l <= -5e-310:
                      		tmp = t_0 * d
                      	else:
                      		tmp = (d / math.sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)))
                      	return tmp
                      
                      D_m = abs(D)
                      M_m = abs(M)
                      d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                      function code(d, h, l, M_m, D_m)
                      	t_0 = sqrt(Float64(1.0 / Float64(h * l)))
                      	tmp = 0.0
                      	if (l <= -1.7e-220)
                      		tmp = Float64(t_0 * Float64(-d));
                      	elseif (l <= -5e-310)
                      		tmp = Float64(t_0 * d);
                      	else
                      		tmp = Float64(Float64(d / sqrt(Float64(h * l))) * Float64(1.0 - Float64(Float64(Float64(Float64(0.25 * D_m) * Float64(M_m / d)) * h) * Float64(Float64(D_m * Float64(M_m * Float64(0.5 / d))) / l))));
                      	end
                      	return tmp
                      end
                      
                      D_m = abs(D);
                      M_m = abs(M);
                      d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
                      function tmp_2 = code(d, h, l, M_m, D_m)
                      	t_0 = sqrt((1.0 / (h * l)));
                      	tmp = 0.0;
                      	if (l <= -1.7e-220)
                      		tmp = t_0 * -d;
                      	elseif (l <= -5e-310)
                      		tmp = t_0 * d;
                      	else
                      		tmp = (d / sqrt((h * l))) * (1.0 - ((((0.25 * D_m) * (M_m / d)) * h) * ((D_m * (M_m * (0.5 / d))) / l)));
                      	end
                      	tmp_2 = tmp;
                      end
                      
                      D_m = N[Abs[D], $MachinePrecision]
                      M_m = N[Abs[M], $MachinePrecision]
                      NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                      code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(N[(d / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[(N[(N[(0.25 * D$95$m), $MachinePrecision] * N[(M$95$m / d), $MachinePrecision]), $MachinePrecision] * h), $MachinePrecision] * N[(N[(D$95$m * N[(M$95$m * N[(0.5 / d), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
                      
                      \begin{array}{l}
                      D_m = \left|D\right|
                      \\
                      M_m = \left|M\right|
                      \\
                      [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                      \\
                      \begin{array}{l}
                      t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
                      \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
                      \;\;\;\;t\_0 \cdot \left(-d\right)\\
                      
                      \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
                      \;\;\;\;t\_0 \cdot d\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\frac{d}{\sqrt{h \cdot \ell}} \cdot \left(1 - \left(\left(\left(0.25 \cdot D\_m\right) \cdot \frac{M\_m}{d}\right) \cdot h\right) \cdot \frac{D\_m \cdot \left(M\_m \cdot \frac{0.5}{d}\right)}{\ell}\right)\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 3 regimes
                      2. if l < -1.69999999999999997e-220

                        1. Initial program 70.5%

                          \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        2. Add Preprocessing
                        3. Step-by-step derivation
                          1. lift-pow.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          2. lift-/.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          3. metadata-evalN/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          4. unpow1/2N/A

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

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          6. frac-2negN/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          7. sqrt-divN/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          8. lower-/.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          9. lower-sqrt.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          10. lower-neg.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{\color{blue}{-d}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          11. lower-sqrt.f64N/A

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\color{blue}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          12. lower-neg.f6478.0

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\sqrt{\color{blue}{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        4. Applied rewrites78.0%

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{-d}}{\sqrt{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        5. Taylor expanded in d around -inf

                          \[\leadsto \color{blue}{-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                        6. Step-by-step derivation
                          1. associate-*r*N/A

                            \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                          2. lower-*.f64N/A

                            \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                          3. mul-1-negN/A

                            \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                          4. lower-neg.f64N/A

                            \[\leadsto \color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                          5. lower-sqrt.f64N/A

                            \[\leadsto \left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \]
                          6. lower-/.f64N/A

                            \[\leadsto \left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \]
                          7. *-commutativeN/A

                            \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                          8. lower-*.f6461.4

                            \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                        7. Applied rewrites61.4%

                          \[\leadsto \color{blue}{\left(-d\right) \cdot \sqrt{\frac{1}{\ell \cdot h}}} \]

                        if -1.69999999999999997e-220 < l < -4.999999999999985e-310

                        1. Initial program 80.2%

                          \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                        2. Add Preprocessing
                        3. Taylor expanded in d around inf

                          \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                        4. Step-by-step derivation
                          1. Applied rewrites16.6%

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                          2. Taylor expanded in d around -inf

                            \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                          3. Step-by-step derivation
                            1. associate-*r*N/A

                              \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                            2. mul-1-negN/A

                              \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            3. *-commutativeN/A

                              \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            4. unpow2N/A

                              \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            5. rem-square-sqrtN/A

                              \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            6. mul-1-negN/A

                              \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            7. remove-double-negN/A

                              \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            8. *-commutativeN/A

                              \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                            9. lower-*.f64N/A

                              \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                            10. lower-sqrt.f64N/A

                              \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                            11. lower-/.f64N/A

                              \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                            12. *-commutativeN/A

                              \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                            13. lower-*.f6433.9

                              \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                          4. Applied rewrites33.9%

                            \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]

                          if -4.999999999999985e-310 < l

                          1. Initial program 69.0%

                            \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          2. Add Preprocessing
                          3. Step-by-step derivation
                            1. lift-*.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}}\right) \]
                            2. lift-/.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{h}{\ell}}\right) \]
                            3. clear-numN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \color{blue}{\frac{1}{\frac{\ell}{h}}}\right) \]
                            4. un-div-invN/A

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

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}}}{\frac{\ell}{h}}\right) \]
                            6. *-commutativeN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2} \cdot \frac{1}{2}}}{\frac{\ell}{h}}\right) \]
                            7. lift-pow.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{{\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                            8. unpow2N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{M \cdot D}{2 \cdot d}\right)} \cdot \frac{1}{2}}{\frac{\ell}{h}}\right) \]
                            9. associate-*l*N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\color{blue}{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}}{\frac{\ell}{h}}\right) \]
                            10. div-invN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \frac{\frac{M \cdot D}{2 \cdot d} \cdot \left(\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}\right)}{\color{blue}{\ell \cdot \frac{1}{h}}}\right) \]
                            11. times-fracN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                            12. lower-*.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\frac{M \cdot D}{2 \cdot d}}{\ell} \cdot \frac{\frac{M \cdot D}{2 \cdot d} \cdot \frac{1}{2}}{\frac{1}{h}}}\right) \]
                          4. Applied rewrites71.5%

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \color{blue}{\frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
                          5. Step-by-step derivation
                            1. lift-*.f64N/A

                              \[\leadsto \color{blue}{\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right)} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            2. lift-/.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            3. metadata-evalN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            4. lift-pow.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\frac{1}{2}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            5. unpow1/2N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\sqrt{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            6. lift-/.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            7. sqrt-undivN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{d}}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            8. lift-sqrt.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{d}}}{\sqrt{\ell}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            9. lift-sqrt.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{d}}{\color{blue}{\sqrt{\ell}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            10. clear-numN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{1}{\frac{\sqrt{\ell}}{\sqrt{d}}}}\right) \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            11. un-div-invN/A

                              \[\leadsto \color{blue}{\frac{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}{\frac{\sqrt{\ell}}{\sqrt{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            12. clear-numN/A

                              \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            13. lower-/.f64N/A

                              \[\leadsto \color{blue}{\frac{1}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            14. lower-/.f64N/A

                              \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sqrt{\ell}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            15. lift-sqrt.f64N/A

                              \[\leadsto \frac{1}{\frac{\frac{\color{blue}{\sqrt{\ell}}}{\sqrt{d}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            16. lift-sqrt.f64N/A

                              \[\leadsto \frac{1}{\frac{\frac{\sqrt{\ell}}{\color{blue}{\sqrt{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            17. sqrt-undivN/A

                              \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            18. lower-sqrt.f64N/A

                              \[\leadsto \frac{1}{\frac{\color{blue}{\sqrt{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            19. lower-/.f6471.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\color{blue}{\frac{\ell}{d}}}}{{\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            20. lift-/.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            21. metadata-eval71.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{{\left(\frac{d}{h}\right)}^{\color{blue}{0.5}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            22. lift-pow.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{{\left(\frac{d}{h}\right)}^{\frac{1}{2}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            23. unpow1/2N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                            24. lower-sqrt.f6471.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\color{blue}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                          6. Applied rewrites71.6%

                            \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \frac{\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}\right) \]
                          7. Step-by-step derivation
                            1. lift-/.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\frac{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}}{{h}^{-1}}}\right) \]
                            2. div-invN/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{{h}^{-1}}\right)}\right) \]
                            3. lift-pow.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{{h}^{-1}}}\right)\right) \]
                            4. unpow-1N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \frac{1}{\color{blue}{\frac{1}{h}}}\right)\right) \]
                            5. remove-double-divN/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right) \cdot \color{blue}{h}\right)\right) \]
                            6. lower-*.f6471.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\left(0.5 \cdot \left(D \cdot 0.5\right)\right) \cdot \frac{M}{d}\right) \cdot h\right)}\right) \]
                            7. lift-*.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right) \cdot \frac{M}{d}\right)} \cdot h\right)\right) \]
                            8. *-commutativeN/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)\right)} \cdot h\right)\right) \]
                            9. lower-*.f6471.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\color{blue}{\left(\frac{M}{d} \cdot \left(0.5 \cdot \left(D \cdot 0.5\right)\right)\right)} \cdot h\right)\right) \]
                            10. lift-*.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\frac{1}{2} \cdot \left(D \cdot \frac{1}{2}\right)\right)}\right) \cdot h\right)\right) \]
                            11. lift-*.f64N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(D \cdot \frac{1}{2}\right)}\right)\right) \cdot h\right)\right) \]
                            12. *-commutativeN/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{2} \cdot \color{blue}{\left(\frac{1}{2} \cdot D\right)}\right)\right) \cdot h\right)\right) \]
                            13. associate-*r*N/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(\left(\frac{1}{2} \cdot \frac{1}{2}\right) \cdot D\right)}\right) \cdot h\right)\right) \]
                            14. metadata-evalN/A

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\color{blue}{\frac{1}{4}} \cdot D\right)\right) \cdot h\right)\right) \]
                            15. lower-*.f6471.6

                              \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \color{blue}{\left(0.25 \cdot D\right)}\right) \cdot h\right)\right) \]
                          8. Applied rewrites71.6%

                            \[\leadsto \frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \color{blue}{\left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)}\right) \]
                          9. Step-by-step derivation
                            1. lift-/.f64N/A

                              \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            2. lift-/.f64N/A

                              \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt{\frac{\ell}{d}}}{\sqrt{\frac{d}{h}}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            3. clear-numN/A

                              \[\leadsto \color{blue}{\frac{\sqrt{\frac{d}{h}}}{\sqrt{\frac{\ell}{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            4. lift-sqrt.f64N/A

                              \[\leadsto \frac{\color{blue}{\sqrt{\frac{d}{h}}}}{\sqrt{\frac{\ell}{d}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            5. lift-sqrt.f64N/A

                              \[\leadsto \frac{\sqrt{\frac{d}{h}}}{\color{blue}{\sqrt{\frac{\ell}{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            6. sqrt-undivN/A

                              \[\leadsto \color{blue}{\sqrt{\frac{\frac{d}{h}}{\frac{\ell}{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            7. un-div-invN/A

                              \[\leadsto \sqrt{\color{blue}{\frac{d}{h} \cdot \frac{1}{\frac{\ell}{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            8. lift-/.f64N/A

                              \[\leadsto \sqrt{\frac{d}{h} \cdot \frac{1}{\color{blue}{\frac{\ell}{d}}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            9. clear-numN/A

                              \[\leadsto \sqrt{\frac{d}{h} \cdot \color{blue}{\frac{d}{\ell}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            10. lift-/.f64N/A

                              \[\leadsto \sqrt{\color{blue}{\frac{d}{h}} \cdot \frac{d}{\ell}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            11. frac-timesN/A

                              \[\leadsto \sqrt{\color{blue}{\frac{d \cdot d}{h \cdot \ell}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            12. *-commutativeN/A

                              \[\leadsto \sqrt{\frac{d \cdot d}{\color{blue}{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            13. lift-*.f64N/A

                              \[\leadsto \sqrt{\frac{d \cdot d}{\color{blue}{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            14. sqrt-divN/A

                              \[\leadsto \color{blue}{\frac{\sqrt{d \cdot d}}{\sqrt{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            15. sqrt-prodN/A

                              \[\leadsto \frac{\color{blue}{\sqrt{d} \cdot \sqrt{d}}}{\sqrt{\ell \cdot h}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            16. rem-square-sqrtN/A

                              \[\leadsto \frac{\color{blue}{d}}{\sqrt{\ell \cdot h}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            17. lift-sqrt.f64N/A

                              \[\leadsto \frac{d}{\color{blue}{\sqrt{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            18. lift-/.f6477.9

                              \[\leadsto \color{blue}{\frac{d}{\sqrt{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
                            19. lift-*.f64N/A

                              \[\leadsto \frac{d}{\sqrt{\color{blue}{\ell \cdot h}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            20. *-commutativeN/A

                              \[\leadsto \frac{d}{\sqrt{\color{blue}{h \cdot \ell}}} \cdot \left(1 - \frac{\left(\frac{\frac{1}{2}}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(\frac{1}{4} \cdot D\right)\right) \cdot h\right)\right) \]
                            21. lower-*.f6477.9

                              \[\leadsto \frac{d}{\sqrt{\color{blue}{h \cdot \ell}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
                          10. Applied rewrites77.9%

                            \[\leadsto \color{blue}{\frac{d}{\sqrt{h \cdot \ell}}} \cdot \left(1 - \frac{\left(\frac{0.5}{d} \cdot M\right) \cdot D}{\ell} \cdot \left(\left(\frac{M}{d} \cdot \left(0.25 \cdot D\right)\right) \cdot h\right)\right) \]
                        5. Recombined 3 regimes into one program.
                        6. Final simplification67.0%

                          \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{d}{\sqrt{h \cdot \ell}} \cdot \left(1 - \left(\left(\left(0.25 \cdot D\right) \cdot \frac{M}{d}\right) \cdot h\right) \cdot \frac{D \cdot \left(M \cdot \frac{0.5}{d}\right)}{\ell}\right)\\ \end{array} \]
                        7. Add Preprocessing

                        Alternative 9: 46.5% accurate, 8.4× speedup?

                        \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\ \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;t\_0 \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;t\_0 \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{d}{\sqrt{\ell} \cdot \sqrt{h}}\\ \end{array} \end{array} \]
                        D_m = (fabs.f64 D)
                        M_m = (fabs.f64 M)
                        NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                        (FPCore (d h l M_m D_m)
                         :precision binary64
                         (let* ((t_0 (sqrt (/ 1.0 (* h l)))))
                           (if (<= l -1.7e-220)
                             (* t_0 (- d))
                             (if (<= l -5e-310) (* t_0 d) (/ d (* (sqrt l) (sqrt h)))))))
                        D_m = fabs(D);
                        M_m = fabs(M);
                        assert(d < h && h < l && l < M_m && M_m < D_m);
                        double code(double d, double h, double l, double M_m, double D_m) {
                        	double t_0 = sqrt((1.0 / (h * l)));
                        	double tmp;
                        	if (l <= -1.7e-220) {
                        		tmp = t_0 * -d;
                        	} else if (l <= -5e-310) {
                        		tmp = t_0 * d;
                        	} else {
                        		tmp = d / (sqrt(l) * sqrt(h));
                        	}
                        	return tmp;
                        }
                        
                        D_m = abs(d)
                        M_m = abs(m)
                        NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                        real(8) function code(d, h, l, m_m, d_m)
                            real(8), intent (in) :: d
                            real(8), intent (in) :: h
                            real(8), intent (in) :: l
                            real(8), intent (in) :: m_m
                            real(8), intent (in) :: d_m
                            real(8) :: t_0
                            real(8) :: tmp
                            t_0 = sqrt((1.0d0 / (h * l)))
                            if (l <= (-1.7d-220)) then
                                tmp = t_0 * -d
                            else if (l <= (-5d-310)) then
                                tmp = t_0 * d
                            else
                                tmp = d / (sqrt(l) * sqrt(h))
                            end if
                            code = tmp
                        end function
                        
                        D_m = Math.abs(D);
                        M_m = Math.abs(M);
                        assert d < h && h < l && l < M_m && M_m < D_m;
                        public static double code(double d, double h, double l, double M_m, double D_m) {
                        	double t_0 = Math.sqrt((1.0 / (h * l)));
                        	double tmp;
                        	if (l <= -1.7e-220) {
                        		tmp = t_0 * -d;
                        	} else if (l <= -5e-310) {
                        		tmp = t_0 * d;
                        	} else {
                        		tmp = d / (Math.sqrt(l) * Math.sqrt(h));
                        	}
                        	return tmp;
                        }
                        
                        D_m = math.fabs(D)
                        M_m = math.fabs(M)
                        [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
                        def code(d, h, l, M_m, D_m):
                        	t_0 = math.sqrt((1.0 / (h * l)))
                        	tmp = 0
                        	if l <= -1.7e-220:
                        		tmp = t_0 * -d
                        	elif l <= -5e-310:
                        		tmp = t_0 * d
                        	else:
                        		tmp = d / (math.sqrt(l) * math.sqrt(h))
                        	return tmp
                        
                        D_m = abs(D)
                        M_m = abs(M)
                        d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                        function code(d, h, l, M_m, D_m)
                        	t_0 = sqrt(Float64(1.0 / Float64(h * l)))
                        	tmp = 0.0
                        	if (l <= -1.7e-220)
                        		tmp = Float64(t_0 * Float64(-d));
                        	elseif (l <= -5e-310)
                        		tmp = Float64(t_0 * d);
                        	else
                        		tmp = Float64(d / Float64(sqrt(l) * sqrt(h)));
                        	end
                        	return tmp
                        end
                        
                        D_m = abs(D);
                        M_m = abs(M);
                        d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
                        function tmp_2 = code(d, h, l, M_m, D_m)
                        	t_0 = sqrt((1.0 / (h * l)));
                        	tmp = 0.0;
                        	if (l <= -1.7e-220)
                        		tmp = t_0 * -d;
                        	elseif (l <= -5e-310)
                        		tmp = t_0 * d;
                        	else
                        		tmp = d / (sqrt(l) * sqrt(h));
                        	end
                        	tmp_2 = tmp;
                        end
                        
                        D_m = N[Abs[D], $MachinePrecision]
                        M_m = N[Abs[M], $MachinePrecision]
                        NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                        code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], If[LessEqual[l, -5e-310], N[(t$95$0 * d), $MachinePrecision], N[(d / N[(N[Sqrt[l], $MachinePrecision] * N[Sqrt[h], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
                        
                        \begin{array}{l}
                        D_m = \left|D\right|
                        \\
                        M_m = \left|M\right|
                        \\
                        [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                        \\
                        \begin{array}{l}
                        t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
                        \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
                        \;\;\;\;t\_0 \cdot \left(-d\right)\\
                        
                        \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\
                        \;\;\;\;t\_0 \cdot d\\
                        
                        \mathbf{else}:\\
                        \;\;\;\;\frac{d}{\sqrt{\ell} \cdot \sqrt{h}}\\
                        
                        
                        \end{array}
                        \end{array}
                        
                        Derivation
                        1. Split input into 3 regimes
                        2. if l < -1.69999999999999997e-220

                          1. Initial program 70.5%

                            \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          2. Add Preprocessing
                          3. Step-by-step derivation
                            1. lift-pow.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            2. lift-/.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            3. metadata-evalN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            4. unpow1/2N/A

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

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            6. frac-2negN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            7. sqrt-divN/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            8. lower-/.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            9. lower-sqrt.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            10. lower-neg.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{\color{blue}{-d}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            11. lower-sqrt.f64N/A

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\color{blue}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            12. lower-neg.f6478.0

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\sqrt{\color{blue}{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          4. Applied rewrites78.0%

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{-d}}{\sqrt{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          5. Taylor expanded in d around -inf

                            \[\leadsto \color{blue}{-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                          6. Step-by-step derivation
                            1. associate-*r*N/A

                              \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                            2. lower-*.f64N/A

                              \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                            3. mul-1-negN/A

                              \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            4. lower-neg.f64N/A

                              \[\leadsto \color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                            5. lower-sqrt.f64N/A

                              \[\leadsto \left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \]
                            6. lower-/.f64N/A

                              \[\leadsto \left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \]
                            7. *-commutativeN/A

                              \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                            8. lower-*.f6461.4

                              \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                          7. Applied rewrites61.4%

                            \[\leadsto \color{blue}{\left(-d\right) \cdot \sqrt{\frac{1}{\ell \cdot h}}} \]

                          if -1.69999999999999997e-220 < l < -4.999999999999985e-310

                          1. Initial program 80.2%

                            \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                          2. Add Preprocessing
                          3. Taylor expanded in d around inf

                            \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                          4. Step-by-step derivation
                            1. Applied rewrites16.6%

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                            2. Taylor expanded in d around -inf

                              \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                            3. Step-by-step derivation
                              1. associate-*r*N/A

                                \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                              2. mul-1-negN/A

                                \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              3. *-commutativeN/A

                                \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              4. unpow2N/A

                                \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              5. rem-square-sqrtN/A

                                \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              6. mul-1-negN/A

                                \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              7. remove-double-negN/A

                                \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                              8. *-commutativeN/A

                                \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                              9. lower-*.f64N/A

                                \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                              10. lower-sqrt.f64N/A

                                \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                              11. lower-/.f64N/A

                                \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                              12. *-commutativeN/A

                                \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                              13. lower-*.f6433.9

                                \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                            4. Applied rewrites33.9%

                              \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]

                            if -4.999999999999985e-310 < l

                            1. Initial program 69.0%

                              \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                            2. Add Preprocessing
                            3. Taylor expanded in d around inf

                              \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                            4. Step-by-step derivation
                              1. Applied rewrites35.4%

                                \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                              2. Taylor expanded in d around -inf

                                \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                              3. Step-by-step derivation
                                1. associate-*r*N/A

                                  \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                2. mul-1-negN/A

                                  \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                3. *-commutativeN/A

                                  \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                4. unpow2N/A

                                  \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                5. rem-square-sqrtN/A

                                  \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                6. mul-1-negN/A

                                  \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                7. remove-double-negN/A

                                  \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                8. *-commutativeN/A

                                  \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                9. lower-*.f64N/A

                                  \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                10. lower-sqrt.f64N/A

                                  \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                                11. lower-/.f64N/A

                                  \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                                12. *-commutativeN/A

                                  \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                13. lower-*.f6440.5

                                  \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                              4. Applied rewrites40.5%

                                \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]
                              5. Step-by-step derivation
                                1. Applied rewrites40.5%

                                  \[\leadsto \color{blue}{\frac{d}{\sqrt{\ell \cdot h}}} \]
                                2. Step-by-step derivation
                                  1. Applied rewrites46.3%

                                    \[\leadsto \frac{d}{\sqrt{\ell} \cdot \color{blue}{\sqrt{h}}} \]
                                3. Recombined 3 regimes into one program.
                                4. Final simplification51.2%

                                  \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\\ \mathbf{elif}\;\ell \leq -5 \cdot 10^{-310}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot d\\ \mathbf{else}:\\ \;\;\;\;\frac{d}{\sqrt{\ell} \cdot \sqrt{h}}\\ \end{array} \]
                                5. Add Preprocessing

                                Alternative 10: 42.7% accurate, 10.3× speedup?

                                \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \begin{array}{l} t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\ \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;t\_0 \cdot \left(-d\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot d\\ \end{array} \end{array} \]
                                D_m = (fabs.f64 D)
                                M_m = (fabs.f64 M)
                                NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                (FPCore (d h l M_m D_m)
                                 :precision binary64
                                 (let* ((t_0 (sqrt (/ 1.0 (* h l)))))
                                   (if (<= l -1.7e-220) (* t_0 (- d)) (* t_0 d))))
                                D_m = fabs(D);
                                M_m = fabs(M);
                                assert(d < h && h < l && l < M_m && M_m < D_m);
                                double code(double d, double h, double l, double M_m, double D_m) {
                                	double t_0 = sqrt((1.0 / (h * l)));
                                	double tmp;
                                	if (l <= -1.7e-220) {
                                		tmp = t_0 * -d;
                                	} else {
                                		tmp = t_0 * d;
                                	}
                                	return tmp;
                                }
                                
                                D_m = abs(d)
                                M_m = abs(m)
                                NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                real(8) function code(d, h, l, m_m, d_m)
                                    real(8), intent (in) :: d
                                    real(8), intent (in) :: h
                                    real(8), intent (in) :: l
                                    real(8), intent (in) :: m_m
                                    real(8), intent (in) :: d_m
                                    real(8) :: t_0
                                    real(8) :: tmp
                                    t_0 = sqrt((1.0d0 / (h * l)))
                                    if (l <= (-1.7d-220)) then
                                        tmp = t_0 * -d
                                    else
                                        tmp = t_0 * d
                                    end if
                                    code = tmp
                                end function
                                
                                D_m = Math.abs(D);
                                M_m = Math.abs(M);
                                assert d < h && h < l && l < M_m && M_m < D_m;
                                public static double code(double d, double h, double l, double M_m, double D_m) {
                                	double t_0 = Math.sqrt((1.0 / (h * l)));
                                	double tmp;
                                	if (l <= -1.7e-220) {
                                		tmp = t_0 * -d;
                                	} else {
                                		tmp = t_0 * d;
                                	}
                                	return tmp;
                                }
                                
                                D_m = math.fabs(D)
                                M_m = math.fabs(M)
                                [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
                                def code(d, h, l, M_m, D_m):
                                	t_0 = math.sqrt((1.0 / (h * l)))
                                	tmp = 0
                                	if l <= -1.7e-220:
                                		tmp = t_0 * -d
                                	else:
                                		tmp = t_0 * d
                                	return tmp
                                
                                D_m = abs(D)
                                M_m = abs(M)
                                d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                                function code(d, h, l, M_m, D_m)
                                	t_0 = sqrt(Float64(1.0 / Float64(h * l)))
                                	tmp = 0.0
                                	if (l <= -1.7e-220)
                                		tmp = Float64(t_0 * Float64(-d));
                                	else
                                		tmp = Float64(t_0 * d);
                                	end
                                	return tmp
                                end
                                
                                D_m = abs(D);
                                M_m = abs(M);
                                d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
                                function tmp_2 = code(d, h, l, M_m, D_m)
                                	t_0 = sqrt((1.0 / (h * l)));
                                	tmp = 0.0;
                                	if (l <= -1.7e-220)
                                		tmp = t_0 * -d;
                                	else
                                		tmp = t_0 * d;
                                	end
                                	tmp_2 = tmp;
                                end
                                
                                D_m = N[Abs[D], $MachinePrecision]
                                M_m = N[Abs[M], $MachinePrecision]
                                NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                code[d_, h_, l_, M$95$m_, D$95$m_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[l, -1.7e-220], N[(t$95$0 * (-d)), $MachinePrecision], N[(t$95$0 * d), $MachinePrecision]]]
                                
                                \begin{array}{l}
                                D_m = \left|D\right|
                                \\
                                M_m = \left|M\right|
                                \\
                                [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                                \\
                                \begin{array}{l}
                                t_0 := \sqrt{\frac{1}{h \cdot \ell}}\\
                                \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\
                                \;\;\;\;t\_0 \cdot \left(-d\right)\\
                                
                                \mathbf{else}:\\
                                \;\;\;\;t\_0 \cdot d\\
                                
                                
                                \end{array}
                                \end{array}
                                
                                Derivation
                                1. Split input into 2 regimes
                                2. if l < -1.69999999999999997e-220

                                  1. Initial program 70.5%

                                    \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                  2. Add Preprocessing
                                  3. Step-by-step derivation
                                    1. lift-pow.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{{\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    2. lift-/.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\left(\frac{1}{2}\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    3. metadata-evalN/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    4. unpow1/2N/A

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

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{d}{\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    6. frac-2negN/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \sqrt{\color{blue}{\frac{\mathsf{neg}\left(d\right)}{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    7. sqrt-divN/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    8. lower-/.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(d\right)}}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    9. lower-sqrt.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\color{blue}{\sqrt{\mathsf{neg}\left(d\right)}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    10. lower-neg.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{\color{blue}{-d}}}{\sqrt{\mathsf{neg}\left(\ell\right)}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    11. lower-sqrt.f64N/A

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\color{blue}{\sqrt{\mathsf{neg}\left(\ell\right)}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    12. lower-neg.f6478.0

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \frac{\sqrt{-d}}{\sqrt{\color{blue}{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                  4. Applied rewrites78.0%

                                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot \color{blue}{\frac{\sqrt{-d}}{\sqrt{-\ell}}}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                  5. Taylor expanded in d around -inf

                                    \[\leadsto \color{blue}{-1 \cdot \left(d \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                                  6. Step-by-step derivation
                                    1. associate-*r*N/A

                                      \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                    2. lower-*.f64N/A

                                      \[\leadsto \color{blue}{\left(-1 \cdot d\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                    3. mul-1-negN/A

                                      \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                    4. lower-neg.f64N/A

                                      \[\leadsto \color{blue}{\left(-d\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                    5. lower-sqrt.f64N/A

                                      \[\leadsto \left(-d\right) \cdot \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \]
                                    6. lower-/.f64N/A

                                      \[\leadsto \left(-d\right) \cdot \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \]
                                    7. *-commutativeN/A

                                      \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                                    8. lower-*.f6461.4

                                      \[\leadsto \left(-d\right) \cdot \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \]
                                  7. Applied rewrites61.4%

                                    \[\leadsto \color{blue}{\left(-d\right) \cdot \sqrt{\frac{1}{\ell \cdot h}}} \]

                                  if -1.69999999999999997e-220 < l

                                  1. Initial program 70.9%

                                    \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                  2. Add Preprocessing
                                  3. Taylor expanded in d around inf

                                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                  4. Step-by-step derivation
                                    1. Applied rewrites32.3%

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                    2. Taylor expanded in d around -inf

                                      \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                                    3. Step-by-step derivation
                                      1. associate-*r*N/A

                                        \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                      2. mul-1-negN/A

                                        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      3. *-commutativeN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      4. unpow2N/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      5. rem-square-sqrtN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      6. mul-1-negN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      7. remove-double-negN/A

                                        \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      8. *-commutativeN/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                      9. lower-*.f64N/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                      10. lower-sqrt.f64N/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                                      11. lower-/.f64N/A

                                        \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                                      12. *-commutativeN/A

                                        \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                      13. lower-*.f6439.4

                                        \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                    4. Applied rewrites39.4%

                                      \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]
                                  5. Recombined 2 regimes into one program.
                                  6. Final simplification48.3%

                                    \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -1.7 \cdot 10^{-220}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot \left(-d\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{1}{h \cdot \ell}} \cdot d\\ \end{array} \]
                                  7. Add Preprocessing

                                  Alternative 11: 26.7% accurate, 12.9× speedup?

                                  \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \sqrt{\frac{1}{h \cdot \ell}} \cdot d \end{array} \]
                                  D_m = (fabs.f64 D)
                                  M_m = (fabs.f64 M)
                                  NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                  (FPCore (d h l M_m D_m) :precision binary64 (* (sqrt (/ 1.0 (* h l))) d))
                                  D_m = fabs(D);
                                  M_m = fabs(M);
                                  assert(d < h && h < l && l < M_m && M_m < D_m);
                                  double code(double d, double h, double l, double M_m, double D_m) {
                                  	return sqrt((1.0 / (h * l))) * d;
                                  }
                                  
                                  D_m = abs(d)
                                  M_m = abs(m)
                                  NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                  real(8) function code(d, h, l, m_m, d_m)
                                      real(8), intent (in) :: d
                                      real(8), intent (in) :: h
                                      real(8), intent (in) :: l
                                      real(8), intent (in) :: m_m
                                      real(8), intent (in) :: d_m
                                      code = sqrt((1.0d0 / (h * l))) * d
                                  end function
                                  
                                  D_m = Math.abs(D);
                                  M_m = Math.abs(M);
                                  assert d < h && h < l && l < M_m && M_m < D_m;
                                  public static double code(double d, double h, double l, double M_m, double D_m) {
                                  	return Math.sqrt((1.0 / (h * l))) * d;
                                  }
                                  
                                  D_m = math.fabs(D)
                                  M_m = math.fabs(M)
                                  [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
                                  def code(d, h, l, M_m, D_m):
                                  	return math.sqrt((1.0 / (h * l))) * d
                                  
                                  D_m = abs(D)
                                  M_m = abs(M)
                                  d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                                  function code(d, h, l, M_m, D_m)
                                  	return Float64(sqrt(Float64(1.0 / Float64(h * l))) * d)
                                  end
                                  
                                  D_m = abs(D);
                                  M_m = abs(M);
                                  d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
                                  function tmp = code(d, h, l, M_m, D_m)
                                  	tmp = sqrt((1.0 / (h * l))) * d;
                                  end
                                  
                                  D_m = N[Abs[D], $MachinePrecision]
                                  M_m = N[Abs[M], $MachinePrecision]
                                  NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                  code[d_, h_, l_, M$95$m_, D$95$m_] := N[(N[Sqrt[N[(1.0 / N[(h * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * d), $MachinePrecision]
                                  
                                  \begin{array}{l}
                                  D_m = \left|D\right|
                                  \\
                                  M_m = \left|M\right|
                                  \\
                                  [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                                  \\
                                  \sqrt{\frac{1}{h \cdot \ell}} \cdot d
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 70.7%

                                    \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                  2. Add Preprocessing
                                  3. Taylor expanded in d around inf

                                    \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                  4. Step-by-step derivation
                                    1. Applied rewrites39.6%

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                    2. Taylor expanded in d around -inf

                                      \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                                    3. Step-by-step derivation
                                      1. associate-*r*N/A

                                        \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                      2. mul-1-negN/A

                                        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      3. *-commutativeN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      4. unpow2N/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      5. rem-square-sqrtN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      6. mul-1-negN/A

                                        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      7. remove-double-negN/A

                                        \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                      8. *-commutativeN/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                      9. lower-*.f64N/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                      10. lower-sqrt.f64N/A

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                                      11. lower-/.f64N/A

                                        \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                                      12. *-commutativeN/A

                                        \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                      13. lower-*.f6426.2

                                        \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                    4. Applied rewrites26.2%

                                      \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]
                                    5. Final simplification26.2%

                                      \[\leadsto \sqrt{\frac{1}{h \cdot \ell}} \cdot d \]
                                    6. Add Preprocessing

                                    Alternative 12: 26.5% accurate, 15.3× speedup?

                                    \[\begin{array}{l} D_m = \left|D\right| \\ M_m = \left|M\right| \\ [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\ \\ \frac{d}{\sqrt{h \cdot \ell}} \end{array} \]
                                    D_m = (fabs.f64 D)
                                    M_m = (fabs.f64 M)
                                    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                    (FPCore (d h l M_m D_m) :precision binary64 (/ d (sqrt (* h l))))
                                    D_m = fabs(D);
                                    M_m = fabs(M);
                                    assert(d < h && h < l && l < M_m && M_m < D_m);
                                    double code(double d, double h, double l, double M_m, double D_m) {
                                    	return d / sqrt((h * l));
                                    }
                                    
                                    D_m = abs(d)
                                    M_m = abs(m)
                                    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                    real(8) function code(d, h, l, m_m, d_m)
                                        real(8), intent (in) :: d
                                        real(8), intent (in) :: h
                                        real(8), intent (in) :: l
                                        real(8), intent (in) :: m_m
                                        real(8), intent (in) :: d_m
                                        code = d / sqrt((h * l))
                                    end function
                                    
                                    D_m = Math.abs(D);
                                    M_m = Math.abs(M);
                                    assert d < h && h < l && l < M_m && M_m < D_m;
                                    public static double code(double d, double h, double l, double M_m, double D_m) {
                                    	return d / Math.sqrt((h * l));
                                    }
                                    
                                    D_m = math.fabs(D)
                                    M_m = math.fabs(M)
                                    [d, h, l, M_m, D_m] = sort([d, h, l, M_m, D_m])
                                    def code(d, h, l, M_m, D_m):
                                    	return d / math.sqrt((h * l))
                                    
                                    D_m = abs(D)
                                    M_m = abs(M)
                                    d, h, l, M_m, D_m = sort([d, h, l, M_m, D_m])
                                    function code(d, h, l, M_m, D_m)
                                    	return Float64(d / sqrt(Float64(h * l)))
                                    end
                                    
                                    D_m = abs(D);
                                    M_m = abs(M);
                                    d, h, l, M_m, D_m = num2cell(sort([d, h, l, M_m, D_m])){:}
                                    function tmp = code(d, h, l, M_m, D_m)
                                    	tmp = d / sqrt((h * l));
                                    end
                                    
                                    D_m = N[Abs[D], $MachinePrecision]
                                    M_m = N[Abs[M], $MachinePrecision]
                                    NOTE: d, h, l, M_m, and D_m should be sorted in increasing order before calling this function.
                                    code[d_, h_, l_, M$95$m_, D$95$m_] := N[(d / N[Sqrt[N[(h * l), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
                                    
                                    \begin{array}{l}
                                    D_m = \left|D\right|
                                    \\
                                    M_m = \left|M\right|
                                    \\
                                    [d, h, l, M_m, D_m] = \mathsf{sort}([d, h, l, M_m, D_m])\\
                                    \\
                                    \frac{d}{\sqrt{h \cdot \ell}}
                                    \end{array}
                                    
                                    Derivation
                                    1. Initial program 70.7%

                                      \[\left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \left(1 - \left(\frac{1}{2} \cdot {\left(\frac{M \cdot D}{2 \cdot d}\right)}^{2}\right) \cdot \frac{h}{\ell}\right) \]
                                    2. Add Preprocessing
                                    3. Taylor expanded in d around inf

                                      \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                    4. Step-by-step derivation
                                      1. Applied rewrites39.6%

                                        \[\leadsto \left({\left(\frac{d}{h}\right)}^{\left(\frac{1}{2}\right)} \cdot {\left(\frac{d}{\ell}\right)}^{\left(\frac{1}{2}\right)}\right) \cdot \color{blue}{1} \]
                                      2. Taylor expanded in d around -inf

                                        \[\leadsto \color{blue}{-1 \cdot \left(\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}\right)} \]
                                      3. Step-by-step derivation
                                        1. associate-*r*N/A

                                          \[\leadsto \color{blue}{\left(-1 \cdot \left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}}} \]
                                        2. mul-1-negN/A

                                          \[\leadsto \color{blue}{\left(\mathsf{neg}\left(d \cdot {\left(\sqrt{-1}\right)}^{2}\right)\right)} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        3. *-commutativeN/A

                                          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{\left(\sqrt{-1}\right)}^{2} \cdot d}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        4. unpow2N/A

                                          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        5. rem-square-sqrtN/A

                                          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{-1} \cdot d\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        6. mul-1-negN/A

                                          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(d\right)\right)}\right)\right) \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        7. remove-double-negN/A

                                          \[\leadsto \color{blue}{d} \cdot \sqrt{\frac{1}{h \cdot \ell}} \]
                                        8. *-commutativeN/A

                                          \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                        9. lower-*.f64N/A

                                          \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}} \cdot d} \]
                                        10. lower-sqrt.f64N/A

                                          \[\leadsto \color{blue}{\sqrt{\frac{1}{h \cdot \ell}}} \cdot d \]
                                        11. lower-/.f64N/A

                                          \[\leadsto \sqrt{\color{blue}{\frac{1}{h \cdot \ell}}} \cdot d \]
                                        12. *-commutativeN/A

                                          \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                        13. lower-*.f6426.2

                                          \[\leadsto \sqrt{\frac{1}{\color{blue}{\ell \cdot h}}} \cdot d \]
                                      4. Applied rewrites26.2%

                                        \[\leadsto \color{blue}{\sqrt{\frac{1}{\ell \cdot h}} \cdot d} \]
                                      5. Step-by-step derivation
                                        1. Applied rewrites25.5%

                                          \[\leadsto \color{blue}{\frac{d}{\sqrt{\ell \cdot h}}} \]
                                        2. Final simplification25.5%

                                          \[\leadsto \frac{d}{\sqrt{h \cdot \ell}} \]
                                        3. Add Preprocessing

                                        Reproduce

                                        ?
                                        herbie shell --seed 2024304 
                                        (FPCore (d h l M D)
                                          :name "Henrywood and Agarwal, Equation (12)"
                                          :precision binary64
                                          (* (* (pow (/ d h) (/ 1.0 2.0)) (pow (/ d l) (/ 1.0 2.0))) (- 1.0 (* (* (/ 1.0 2.0) (pow (/ (* M D) (* 2.0 d)) 2.0)) (/ h l)))))