Given's Rotation SVD example

Percentage Accurate: 79.4% → 99.8%
Time: 10.3s
Alternatives: 8
Speedup: 0.5×

Specification

?
\[10^{-150} < \left|x\right| \land \left|x\right| < 10^{+150}\]
\[\begin{array}{l} \\ \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \end{array} \]
(FPCore (p x)
 :precision binary64
 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))
double code(double p, double x) {
	return sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(p, x)
use fmin_fmax_functions
    real(8), intent (in) :: p
    real(8), intent (in) :: x
    code = sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p) * p) + (x * x)))))))
end function
public static double code(double p, double x) {
	return Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p) * p) + (x * x)))))));
}
def code(p, x):
	return math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p) * p) + (x * x)))))))
function code(p, x)
	return sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p) * p) + Float64(x * x)))))))
end
function tmp = code(p, x)
	tmp = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
end
code[p_, x_] := N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p), $MachinePrecision] * p), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\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 8 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: 79.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \end{array} \]
(FPCore (p x)
 :precision binary64
 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))
double code(double p, double x) {
	return sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(p, x)
use fmin_fmax_functions
    real(8), intent (in) :: p
    real(8), intent (in) :: x
    code = sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p) * p) + (x * x)))))))
end function
public static double code(double p, double x) {
	return Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p) * p) + (x * x)))))));
}
def code(p, x):
	return math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p) * p) + (x * x)))))))
function code(p, x)
	return sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p) * p) + Float64(x * x)))))))
end
function tmp = code(p, x)
	tmp = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
end
code[p_, x_] := N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p), $MachinePrecision] * p), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}
\end{array}

Alternative 1: 99.8% accurate, 0.1× speedup?

\[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} t_0 := \mathsf{fma}\left(p\_m \cdot p\_m, 4, x \cdot x\right)\\ \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 10^{-7}:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{else}:\\ \;\;\;\;e^{\log \left(\mathsf{fma}\left({t\_0}^{-0.25}, \frac{x}{{t\_0}^{0.25}}, 1\right) \cdot 0.5\right) \cdot 0.5}\\ \end{array} \end{array} \]
p_m = (fabs.f64 p)
(FPCore (p_m x)
 :precision binary64
 (let* ((t_0 (fma (* p_m p_m) 4.0 (* x x))))
   (if (<=
        (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))
        1e-7)
     (/ (- p_m) x)
     (exp
      (* (log (* (fma (pow t_0 -0.25) (/ x (pow t_0 0.25)) 1.0) 0.5)) 0.5)))))
p_m = fabs(p);
double code(double p_m, double x) {
	double t_0 = fma((p_m * p_m), 4.0, (x * x));
	double tmp;
	if (sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 1e-7) {
		tmp = -p_m / x;
	} else {
		tmp = exp((log((fma(pow(t_0, -0.25), (x / pow(t_0, 0.25)), 1.0) * 0.5)) * 0.5));
	}
	return tmp;
}
p_m = abs(p)
function code(p_m, x)
	t_0 = fma(Float64(p_m * p_m), 4.0, Float64(x * x))
	tmp = 0.0
	if (sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x))))))) <= 1e-7)
		tmp = Float64(Float64(-p_m) / x);
	else
		tmp = exp(Float64(log(Float64(fma((t_0 ^ -0.25), Float64(x / (t_0 ^ 0.25)), 1.0) * 0.5)) * 0.5));
	end
	return tmp
end
p_m = N[Abs[p], $MachinePrecision]
code[p$95$m_, x_] := Block[{t$95$0 = N[(N[(p$95$m * p$95$m), $MachinePrecision] * 4.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 1e-7], N[((-p$95$m) / x), $MachinePrecision], N[Exp[N[(N[Log[N[(N[(N[Power[t$95$0, -0.25], $MachinePrecision] * N[(x / N[Power[t$95$0, 0.25], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|

\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(p\_m \cdot p\_m, 4, x \cdot x\right)\\
\mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 10^{-7}:\\
\;\;\;\;\frac{-p\_m}{x}\\

\mathbf{else}:\\
\;\;\;\;e^{\log \left(\mathsf{fma}\left({t\_0}^{-0.25}, \frac{x}{{t\_0}^{0.25}}, 1\right) \cdot 0.5\right) \cdot 0.5}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 9.9999999999999995e-8

    1. Initial program 17.3%

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
      2. lift-+.f64N/A

        \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
      3. +-commutativeN/A

        \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
      4. distribute-lft-inN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
      6. lift-/.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
      7. associate-*l/N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
      8. lift-sqrt.f64N/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
      9. pow1/2N/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
      10. sqr-powN/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
      11. times-fracN/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
      13. lower-fma.f64N/A

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
    4. Applied rewrites3.1%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
    5. Taylor expanded in x around -inf

      \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
    6. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
      2. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
      3. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
      4. lower-neg.f6452.4

        \[\leadsto \frac{\color{blue}{-p}}{x} \]
    7. Applied rewrites52.4%

      \[\leadsto \color{blue}{\frac{-p}{x}} \]

    if 9.9999999999999995e-8 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

    1. Initial program 99.9%

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
      2. pow1/2N/A

        \[\leadsto \color{blue}{{\left(\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)\right)}^{\frac{1}{2}}} \]
      3. lift-*.f64N/A

        \[\leadsto {\color{blue}{\left(\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)\right)}}^{\frac{1}{2}} \]
      4. *-commutativeN/A

        \[\leadsto {\color{blue}{\left(\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right) \cdot \frac{1}{2}\right)}}^{\frac{1}{2}} \]
      5. unpow-prod-downN/A

        \[\leadsto \color{blue}{{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}^{\frac{1}{2}} \cdot {\frac{1}{2}}^{\frac{1}{2}}} \]
      6. lower-*.f64N/A

        \[\leadsto \color{blue}{{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}^{\frac{1}{2}} \cdot {\frac{1}{2}}^{\frac{1}{2}}} \]
    4. Applied rewrites99.4%

      \[\leadsto \color{blue}{\sqrt{\frac{x}{\sqrt{\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)}} + 1} \cdot \sqrt{0.5}} \]
    5. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)}} + 1}} \cdot \sqrt{\frac{1}{2}} \]
      2. lift-/.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      3. lift-sqrt.f64N/A

        \[\leadsto \sqrt{\frac{x}{\color{blue}{\sqrt{\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      4. pow1/2N/A

        \[\leadsto \sqrt{\frac{x}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{2}}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      5. lift-fma.f64N/A

        \[\leadsto \sqrt{\frac{x}{{\color{blue}{\left(\left(p \cdot 4\right) \cdot p + x \cdot x\right)}}^{\frac{1}{2}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      6. lift-*.f64N/A

        \[\leadsto \sqrt{\frac{x}{{\left(\color{blue}{\left(p \cdot 4\right)} \cdot p + x \cdot x\right)}^{\frac{1}{2}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      7. *-commutativeN/A

        \[\leadsto \sqrt{\frac{x}{{\left(\color{blue}{\left(4 \cdot p\right)} \cdot p + x \cdot x\right)}^{\frac{1}{2}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      8. lift-*.f64N/A

        \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + \color{blue}{x \cdot x}\right)}^{\frac{1}{2}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      9. pow1/2N/A

        \[\leadsto \sqrt{\frac{x}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
    6. Applied rewrites99.5%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, \frac{1}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, 1\right)}} \cdot \sqrt{0.5} \]
    7. Step-by-step derivation
      1. lift-fma.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}} \cdot \frac{1}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}} + 1}} \cdot \sqrt{\frac{1}{2}} \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}} \cdot \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}} + 1} \cdot \sqrt{\frac{1}{2}} \]
      3. lower-fma.f6499.5

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{1}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, 1\right)}} \cdot \sqrt{0.5} \]
      4. lift-/.f64N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(\color{blue}{\frac{1}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \sqrt{\frac{1}{2}} \]
      5. lift-pow.f64N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \sqrt{\frac{1}{2}} \]
      6. pow-flipN/A

        \[\leadsto \sqrt{\mathsf{fma}\left(\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \sqrt{\frac{1}{2}} \]
      7. lower-pow.f64N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \sqrt{\frac{1}{2}} \]
      8. metadata-eval99.5

        \[\leadsto \sqrt{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{-0.25}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, 1\right)} \cdot \sqrt{0.5} \]
    8. Applied rewrites99.5%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{-0.25}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{0.25}}, 1\right)}} \cdot \sqrt{0.5} \]
    9. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \sqrt{\frac{1}{2}}} \]
      2. lift-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)}} \cdot \sqrt{\frac{1}{2}} \]
      3. lift-sqrt.f64N/A

        \[\leadsto \sqrt{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right)} \cdot \color{blue}{\sqrt{\frac{1}{2}}} \]
      4. sqrt-unprodN/A

        \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right) \cdot \frac{1}{2}}} \]
      5. pow1/2N/A

        \[\leadsto \color{blue}{{\left(\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right) \cdot \frac{1}{2}\right)}^{\frac{1}{2}}} \]
      6. pow-to-expN/A

        \[\leadsto \color{blue}{e^{\log \left(\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right) \cdot \frac{1}{2}\right) \cdot \frac{1}{2}}} \]
      7. lower-exp.f64N/A

        \[\leadsto \color{blue}{e^{\log \left(\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right) \cdot \frac{1}{2}\right) \cdot \frac{1}{2}}} \]
      8. lower-*.f64N/A

        \[\leadsto e^{\color{blue}{\log \left(\mathsf{fma}\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{-1}{4}}, \frac{x}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, 1\right) \cdot \frac{1}{2}\right) \cdot \frac{1}{2}}} \]
    10. Applied rewrites99.9%

      \[\leadsto \color{blue}{e^{\log \left(\mathsf{fma}\left({\left(\mathsf{fma}\left(p \cdot p, 4, x \cdot x\right)\right)}^{-0.25}, \frac{x}{{\left(\mathsf{fma}\left(p \cdot p, 4, x \cdot x\right)\right)}^{0.25}}, 1\right) \cdot 0.5\right) \cdot 0.5}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 2: 99.2% accurate, 0.4× speedup?

\[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\ \mathbf{if}\;t\_0 \leq 0.2:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{elif}\;t\_0 \leq 0.9:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.25}{p\_m}, 0.5\right)}\\ \mathbf{else}:\\ \;\;\;\;1 - \frac{0.5 \cdot \left(p\_m \cdot p\_m\right)}{x \cdot x}\\ \end{array} \end{array} \]
p_m = (fabs.f64 p)
(FPCore (p_m x)
 :precision binary64
 (let* ((t_0
         (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))))
   (if (<= t_0 0.2)
     (/ (- p_m) x)
     (if (<= t_0 0.9)
       (sqrt (fma x (/ 0.25 p_m) 0.5))
       (- 1.0 (/ (* 0.5 (* p_m p_m)) (* x x)))))))
p_m = fabs(p);
double code(double p_m, double x) {
	double t_0 = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x)))))));
	double tmp;
	if (t_0 <= 0.2) {
		tmp = -p_m / x;
	} else if (t_0 <= 0.9) {
		tmp = sqrt(fma(x, (0.25 / p_m), 0.5));
	} else {
		tmp = 1.0 - ((0.5 * (p_m * p_m)) / (x * x));
	}
	return tmp;
}
p_m = abs(p)
function code(p_m, x)
	t_0 = sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x)))))))
	tmp = 0.0
	if (t_0 <= 0.2)
		tmp = Float64(Float64(-p_m) / x);
	elseif (t_0 <= 0.9)
		tmp = sqrt(fma(x, Float64(0.25 / p_m), 0.5));
	else
		tmp = Float64(1.0 - Float64(Float64(0.5 * Float64(p_m * p_m)) / Float64(x * x)));
	end
	return tmp
end
p_m = N[Abs[p], $MachinePrecision]
code[p$95$m_, x_] := Block[{t$95$0 = N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, 0.2], N[((-p$95$m) / x), $MachinePrecision], If[LessEqual[t$95$0, 0.9], N[Sqrt[N[(x * N[(0.25 / p$95$m), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision], N[(1.0 - N[(N[(0.5 * N[(p$95$m * p$95$m), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
p_m = \left|p\right|

\\
\begin{array}{l}
t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\
\mathbf{if}\;t\_0 \leq 0.2:\\
\;\;\;\;\frac{-p\_m}{x}\\

\mathbf{elif}\;t\_0 \leq 0.9:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.25}{p\_m}, 0.5\right)}\\

\mathbf{else}:\\
\;\;\;\;1 - \frac{0.5 \cdot \left(p\_m \cdot p\_m\right)}{x \cdot x}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.20000000000000001

    1. Initial program 19.5%

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
      2. lift-+.f64N/A

        \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
      3. +-commutativeN/A

        \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
      4. distribute-lft-inN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
      6. lift-/.f64N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
      7. associate-*l/N/A

        \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
      8. lift-sqrt.f64N/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
      9. pow1/2N/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
      10. sqr-powN/A

        \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
      11. times-fracN/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
      13. lower-fma.f64N/A

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
    4. Applied rewrites5.8%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
    5. Taylor expanded in x around -inf

      \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
    6. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
      2. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
      3. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
      4. lower-neg.f6451.9

        \[\leadsto \frac{\color{blue}{-p}}{x} \]
    7. Applied rewrites51.9%

      \[\leadsto \color{blue}{\frac{-p}{x}} \]

    if 0.20000000000000001 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.900000000000000022

    1. Initial program 100.0%

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in p around inf

      \[\leadsto \sqrt{\color{blue}{\frac{1}{2} + \frac{1}{4} \cdot \frac{x}{p}}} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{4} \cdot \frac{x}{p} + \frac{1}{2}}} \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\color{blue}{\frac{x}{p} \cdot \frac{1}{4}} + \frac{1}{2}} \]
      3. lower-fma.f64N/A

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{p}, \frac{1}{4}, \frac{1}{2}\right)}} \]
      4. lower-/.f6498.6

        \[\leadsto \sqrt{\mathsf{fma}\left(\color{blue}{\frac{x}{p}}, 0.25, 0.5\right)} \]
    5. Applied rewrites98.6%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{p}, 0.25, 0.5\right)}} \]
    6. Step-by-step derivation
      1. Applied rewrites98.6%

        \[\leadsto \sqrt{\mathsf{fma}\left(x, \color{blue}{\frac{0.25}{p}}, 0.5\right)} \]

      if 0.900000000000000022 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

      1. Initial program 100.0%

        \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-*.f64N/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
        2. lift-+.f64N/A

          \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
        3. +-commutativeN/A

          \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
        4. distribute-lft-inN/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
        5. *-commutativeN/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
        6. lift-/.f64N/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
        7. associate-*l/N/A

          \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
        8. lift-sqrt.f64N/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
        9. pow1/2N/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
        10. sqr-powN/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
        11. times-fracN/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
        12. metadata-evalN/A

          \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
        13. lower-fma.f64N/A

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
      4. Applied rewrites99.7%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
      5. Step-by-step derivation
        1. lift-pow.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{1}{2}\right)} \]
        2. lift-*.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{p \cdot 4}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
        3. *-commutativeN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
        4. lift-*.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
        5. metadata-evalN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{1}{8} \cdot 2\right)}}}, \frac{1}{2}\right)} \]
        6. metadata-evalN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\color{blue}{{\frac{1}{2}}^{3}} \cdot 2\right)}}, \frac{1}{2}\right)} \]
        7. pow-powN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)}^{2}}}, \frac{1}{2}\right)} \]
        8. metadata-evalN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{8}}}\right)}^{2}}, \frac{1}{2}\right)} \]
        9. metadata-evalN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{\frac{1}{4}}{2}\right)}}\right)}^{2}}, \frac{1}{2}\right)} \]
        10. pow2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}}}, \frac{1}{2}\right)} \]
        11. fabs-sqrN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\left|{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}\right|}}, \frac{1}{2}\right)} \]
        12. sqr-powN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
        13. lift-pow.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
        14. rem-sqrt-square-revN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}}, \frac{1}{2}\right)} \]
        15. pow2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}^{2}}}}, \frac{1}{2}\right)} \]
        16. lift-pow.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\color{blue}{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}}^{2}}}, \frac{1}{2}\right)} \]
        17. pow-powN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{1}{4} \cdot 2\right)}}}}, \frac{1}{2}\right)} \]
        18. metadata-evalN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{2}}}}}, \frac{1}{2}\right)} \]
        19. pow1/2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, \frac{1}{2}\right)} \]
        20. lift-fma.f64N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\sqrt{\color{blue}{\left(4 \cdot p\right) \cdot p + x \cdot x}}}}, \frac{1}{2}\right)} \]
      6. Applied rewrites99.7%

        \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{\color{blue}{\sqrt{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, 0.5\right)} \]
      7. Taylor expanded in p around 0

        \[\leadsto \color{blue}{1 + \frac{-1}{2} \cdot \frac{{p}^{2}}{{x}^{2}}} \]
      8. Step-by-step derivation
        1. fp-cancel-sign-sub-invN/A

          \[\leadsto \color{blue}{1 - \left(\mathsf{neg}\left(\frac{-1}{2}\right)\right) \cdot \frac{{p}^{2}}{{x}^{2}}} \]
        2. metadata-evalN/A

          \[\leadsto 1 - \color{blue}{\frac{1}{2}} \cdot \frac{{p}^{2}}{{x}^{2}} \]
        3. lower--.f64N/A

          \[\leadsto \color{blue}{1 - \frac{1}{2} \cdot \frac{{p}^{2}}{{x}^{2}}} \]
        4. associate-*r/N/A

          \[\leadsto 1 - \color{blue}{\frac{\frac{1}{2} \cdot {p}^{2}}{{x}^{2}}} \]
        5. lower-/.f64N/A

          \[\leadsto 1 - \color{blue}{\frac{\frac{1}{2} \cdot {p}^{2}}{{x}^{2}}} \]
        6. lower-*.f64N/A

          \[\leadsto 1 - \frac{\color{blue}{\frac{1}{2} \cdot {p}^{2}}}{{x}^{2}} \]
        7. unpow2N/A

          \[\leadsto 1 - \frac{\frac{1}{2} \cdot \color{blue}{\left(p \cdot p\right)}}{{x}^{2}} \]
        8. lower-*.f64N/A

          \[\leadsto 1 - \frac{\frac{1}{2} \cdot \color{blue}{\left(p \cdot p\right)}}{{x}^{2}} \]
        9. unpow2N/A

          \[\leadsto 1 - \frac{\frac{1}{2} \cdot \left(p \cdot p\right)}{\color{blue}{x \cdot x}} \]
        10. lower-*.f6498.1

          \[\leadsto 1 - \frac{0.5 \cdot \left(p \cdot p\right)}{\color{blue}{x \cdot x}} \]
      9. Applied rewrites98.1%

        \[\leadsto \color{blue}{1 - \frac{0.5 \cdot \left(p \cdot p\right)}{x \cdot x}} \]
    7. Recombined 3 regimes into one program.
    8. Add Preprocessing

    Alternative 3: 99.0% accurate, 0.4× speedup?

    \[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\ \mathbf{if}\;t\_0 \leq 0.2:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{elif}\;t\_0 \leq 0.9:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.25}{p\_m}, 0.5\right)}\\ \mathbf{else}:\\ \;\;\;\;1\\ \end{array} \end{array} \]
    p_m = (fabs.f64 p)
    (FPCore (p_m x)
     :precision binary64
     (let* ((t_0
             (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))))
       (if (<= t_0 0.2)
         (/ (- p_m) x)
         (if (<= t_0 0.9) (sqrt (fma x (/ 0.25 p_m) 0.5)) 1.0))))
    p_m = fabs(p);
    double code(double p_m, double x) {
    	double t_0 = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x)))))));
    	double tmp;
    	if (t_0 <= 0.2) {
    		tmp = -p_m / x;
    	} else if (t_0 <= 0.9) {
    		tmp = sqrt(fma(x, (0.25 / p_m), 0.5));
    	} else {
    		tmp = 1.0;
    	}
    	return tmp;
    }
    
    p_m = abs(p)
    function code(p_m, x)
    	t_0 = sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x)))))))
    	tmp = 0.0
    	if (t_0 <= 0.2)
    		tmp = Float64(Float64(-p_m) / x);
    	elseif (t_0 <= 0.9)
    		tmp = sqrt(fma(x, Float64(0.25 / p_m), 0.5));
    	else
    		tmp = 1.0;
    	end
    	return tmp
    end
    
    p_m = N[Abs[p], $MachinePrecision]
    code[p$95$m_, x_] := Block[{t$95$0 = N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, 0.2], N[((-p$95$m) / x), $MachinePrecision], If[LessEqual[t$95$0, 0.9], N[Sqrt[N[(x * N[(0.25 / p$95$m), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision], 1.0]]]
    
    \begin{array}{l}
    p_m = \left|p\right|
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\
    \mathbf{if}\;t\_0 \leq 0.2:\\
    \;\;\;\;\frac{-p\_m}{x}\\
    
    \mathbf{elif}\;t\_0 \leq 0.9:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.25}{p\_m}, 0.5\right)}\\
    
    \mathbf{else}:\\
    \;\;\;\;1\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 3 regimes
    2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.20000000000000001

      1. Initial program 19.5%

        \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-*.f64N/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
        2. lift-+.f64N/A

          \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
        3. +-commutativeN/A

          \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
        4. distribute-lft-inN/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
        5. *-commutativeN/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
        6. lift-/.f64N/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
        7. associate-*l/N/A

          \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
        8. lift-sqrt.f64N/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
        9. pow1/2N/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
        10. sqr-powN/A

          \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
        11. times-fracN/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
        12. metadata-evalN/A

          \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
        13. lower-fma.f64N/A

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
      4. Applied rewrites5.8%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
      5. Taylor expanded in x around -inf

        \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
      6. Step-by-step derivation
        1. mul-1-negN/A

          \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
        2. distribute-neg-fracN/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
        3. lower-/.f64N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
        4. lower-neg.f6451.9

          \[\leadsto \frac{\color{blue}{-p}}{x} \]
      7. Applied rewrites51.9%

        \[\leadsto \color{blue}{\frac{-p}{x}} \]

      if 0.20000000000000001 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.900000000000000022

      1. Initial program 100.0%

        \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in p around inf

        \[\leadsto \sqrt{\color{blue}{\frac{1}{2} + \frac{1}{4} \cdot \frac{x}{p}}} \]
      4. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \sqrt{\color{blue}{\frac{1}{4} \cdot \frac{x}{p} + \frac{1}{2}}} \]
        2. *-commutativeN/A

          \[\leadsto \sqrt{\color{blue}{\frac{x}{p} \cdot \frac{1}{4}} + \frac{1}{2}} \]
        3. lower-fma.f64N/A

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{p}, \frac{1}{4}, \frac{1}{2}\right)}} \]
        4. lower-/.f6498.6

          \[\leadsto \sqrt{\mathsf{fma}\left(\color{blue}{\frac{x}{p}}, 0.25, 0.5\right)} \]
      5. Applied rewrites98.6%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{p}, 0.25, 0.5\right)}} \]
      6. Step-by-step derivation
        1. Applied rewrites98.6%

          \[\leadsto \sqrt{\mathsf{fma}\left(x, \color{blue}{\frac{0.25}{p}}, 0.5\right)} \]

        if 0.900000000000000022 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

        1. Initial program 100.0%

          \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift-*.f64N/A

            \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
          2. lift-+.f64N/A

            \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
          3. +-commutativeN/A

            \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
          4. distribute-lft-inN/A

            \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
          5. *-commutativeN/A

            \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
          6. lift-/.f64N/A

            \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
          7. associate-*l/N/A

            \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
          8. lift-sqrt.f64N/A

            \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
          9. pow1/2N/A

            \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
          10. sqr-powN/A

            \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
          11. times-fracN/A

            \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
          12. metadata-evalN/A

            \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
          13. lower-fma.f64N/A

            \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
        4. Applied rewrites99.7%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
        5. Step-by-step derivation
          1. lift-pow.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{1}{2}\right)} \]
          2. lift-*.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{p \cdot 4}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
          3. *-commutativeN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
          4. lift-*.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
          5. metadata-evalN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{1}{8} \cdot 2\right)}}}, \frac{1}{2}\right)} \]
          6. metadata-evalN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\color{blue}{{\frac{1}{2}}^{3}} \cdot 2\right)}}, \frac{1}{2}\right)} \]
          7. pow-powN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)}^{2}}}, \frac{1}{2}\right)} \]
          8. metadata-evalN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{8}}}\right)}^{2}}, \frac{1}{2}\right)} \]
          9. metadata-evalN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{\frac{1}{4}}{2}\right)}}\right)}^{2}}, \frac{1}{2}\right)} \]
          10. pow2N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}}}, \frac{1}{2}\right)} \]
          11. fabs-sqrN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\left|{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}\right|}}, \frac{1}{2}\right)} \]
          12. sqr-powN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
          13. lift-pow.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
          14. rem-sqrt-square-revN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}}, \frac{1}{2}\right)} \]
          15. pow2N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}^{2}}}}, \frac{1}{2}\right)} \]
          16. lift-pow.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\color{blue}{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}}^{2}}}, \frac{1}{2}\right)} \]
          17. pow-powN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{1}{4} \cdot 2\right)}}}}, \frac{1}{2}\right)} \]
          18. metadata-evalN/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{2}}}}}, \frac{1}{2}\right)} \]
          19. pow1/2N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, \frac{1}{2}\right)} \]
          20. lift-fma.f64N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\sqrt{\color{blue}{\left(4 \cdot p\right) \cdot p + x \cdot x}}}}, \frac{1}{2}\right)} \]
        6. Applied rewrites99.7%

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{\color{blue}{\sqrt{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, 0.5\right)} \]
        7. Taylor expanded in p around 0

          \[\leadsto \color{blue}{1} \]
        8. Step-by-step derivation
          1. Applied rewrites97.1%

            \[\leadsto \color{blue}{1} \]
        9. Recombined 3 regimes into one program.
        10. Add Preprocessing

        Alternative 4: 98.3% accurate, 0.4× speedup?

        \[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\ \mathbf{if}\;t\_0 \leq 0.2:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{elif}\;t\_0 \leq 0.9:\\ \;\;\;\;\sqrt{0.5}\\ \mathbf{else}:\\ \;\;\;\;1\\ \end{array} \end{array} \]
        p_m = (fabs.f64 p)
        (FPCore (p_m x)
         :precision binary64
         (let* ((t_0
                 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))))
           (if (<= t_0 0.2) (/ (- p_m) x) (if (<= t_0 0.9) (sqrt 0.5) 1.0))))
        p_m = fabs(p);
        double code(double p_m, double x) {
        	double t_0 = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x)))))));
        	double tmp;
        	if (t_0 <= 0.2) {
        		tmp = -p_m / x;
        	} else if (t_0 <= 0.9) {
        		tmp = sqrt(0.5);
        	} else {
        		tmp = 1.0;
        	}
        	return tmp;
        }
        
        p_m =     private
        module fmin_fmax_functions
            implicit none
            private
            public fmax
            public fmin
        
            interface fmax
                module procedure fmax88
                module procedure fmax44
                module procedure fmax84
                module procedure fmax48
            end interface
            interface fmin
                module procedure fmin88
                module procedure fmin44
                module procedure fmin84
                module procedure fmin48
            end interface
        contains
            real(8) function fmax88(x, y) result (res)
                real(8), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
            end function
            real(4) function fmax44(x, y) result (res)
                real(4), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
            end function
            real(8) function fmax84(x, y) result(res)
                real(8), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
            end function
            real(8) function fmax48(x, y) result(res)
                real(4), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
            end function
            real(8) function fmin88(x, y) result (res)
                real(8), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
            end function
            real(4) function fmin44(x, y) result (res)
                real(4), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
            end function
            real(8) function fmin84(x, y) result(res)
                real(8), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
            end function
            real(8) function fmin48(x, y) result(res)
                real(4), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
            end function
        end module
        
        real(8) function code(p_m, x)
        use fmin_fmax_functions
            real(8), intent (in) :: p_m
            real(8), intent (in) :: x
            real(8) :: t_0
            real(8) :: tmp
            t_0 = sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p_m) * p_m) + (x * x)))))))
            if (t_0 <= 0.2d0) then
                tmp = -p_m / x
            else if (t_0 <= 0.9d0) then
                tmp = sqrt(0.5d0)
            else
                tmp = 1.0d0
            end if
            code = tmp
        end function
        
        p_m = Math.abs(p);
        public static double code(double p_m, double x) {
        	double t_0 = Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p_m) * p_m) + (x * x)))))));
        	double tmp;
        	if (t_0 <= 0.2) {
        		tmp = -p_m / x;
        	} else if (t_0 <= 0.9) {
        		tmp = Math.sqrt(0.5);
        	} else {
        		tmp = 1.0;
        	}
        	return tmp;
        }
        
        p_m = math.fabs(p)
        def code(p_m, x):
        	t_0 = math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p_m) * p_m) + (x * x)))))))
        	tmp = 0
        	if t_0 <= 0.2:
        		tmp = -p_m / x
        	elif t_0 <= 0.9:
        		tmp = math.sqrt(0.5)
        	else:
        		tmp = 1.0
        	return tmp
        
        p_m = abs(p)
        function code(p_m, x)
        	t_0 = sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x)))))))
        	tmp = 0.0
        	if (t_0 <= 0.2)
        		tmp = Float64(Float64(-p_m) / x);
        	elseif (t_0 <= 0.9)
        		tmp = sqrt(0.5);
        	else
        		tmp = 1.0;
        	end
        	return tmp
        end
        
        p_m = abs(p);
        function tmp_2 = code(p_m, x)
        	t_0 = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x)))))));
        	tmp = 0.0;
        	if (t_0 <= 0.2)
        		tmp = -p_m / x;
        	elseif (t_0 <= 0.9)
        		tmp = sqrt(0.5);
        	else
        		tmp = 1.0;
        	end
        	tmp_2 = tmp;
        end
        
        p_m = N[Abs[p], $MachinePrecision]
        code[p$95$m_, x_] := Block[{t$95$0 = N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, 0.2], N[((-p$95$m) / x), $MachinePrecision], If[LessEqual[t$95$0, 0.9], N[Sqrt[0.5], $MachinePrecision], 1.0]]]
        
        \begin{array}{l}
        p_m = \left|p\right|
        
        \\
        \begin{array}{l}
        t_0 := \sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)}\\
        \mathbf{if}\;t\_0 \leq 0.2:\\
        \;\;\;\;\frac{-p\_m}{x}\\
        
        \mathbf{elif}\;t\_0 \leq 0.9:\\
        \;\;\;\;\sqrt{0.5}\\
        
        \mathbf{else}:\\
        \;\;\;\;1\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 3 regimes
        2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.20000000000000001

          1. Initial program 19.5%

            \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
          2. Add Preprocessing
          3. Step-by-step derivation
            1. lift-*.f64N/A

              \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
            2. lift-+.f64N/A

              \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
            4. distribute-lft-inN/A

              \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
            5. *-commutativeN/A

              \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
            6. lift-/.f64N/A

              \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
            7. associate-*l/N/A

              \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
            8. lift-sqrt.f64N/A

              \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
            9. pow1/2N/A

              \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
            10. sqr-powN/A

              \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
            11. times-fracN/A

              \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
            12. metadata-evalN/A

              \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
            13. lower-fma.f64N/A

              \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
          4. Applied rewrites5.8%

            \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
          5. Taylor expanded in x around -inf

            \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
          6. Step-by-step derivation
            1. mul-1-negN/A

              \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
            2. distribute-neg-fracN/A

              \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
            3. lower-/.f64N/A

              \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
            4. lower-neg.f6451.9

              \[\leadsto \frac{\color{blue}{-p}}{x} \]
          7. Applied rewrites51.9%

            \[\leadsto \color{blue}{\frac{-p}{x}} \]

          if 0.20000000000000001 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.900000000000000022

          1. Initial program 100.0%

            \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in p around inf

            \[\leadsto \sqrt{\color{blue}{\frac{1}{2}}} \]
          4. Step-by-step derivation
            1. Applied rewrites97.9%

              \[\leadsto \sqrt{\color{blue}{0.5}} \]

            if 0.900000000000000022 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

            1. Initial program 100.0%

              \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-*.f64N/A

                \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
              2. lift-+.f64N/A

                \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
              3. +-commutativeN/A

                \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
              4. distribute-lft-inN/A

                \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
              5. *-commutativeN/A

                \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
              6. lift-/.f64N/A

                \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
              7. associate-*l/N/A

                \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
              8. lift-sqrt.f64N/A

                \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
              9. pow1/2N/A

                \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
              10. sqr-powN/A

                \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
              11. times-fracN/A

                \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
              12. metadata-evalN/A

                \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
              13. lower-fma.f64N/A

                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
            4. Applied rewrites99.7%

              \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
            5. Step-by-step derivation
              1. lift-pow.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{1}{2}\right)} \]
              2. lift-*.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{p \cdot 4}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
              3. *-commutativeN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
              4. lift-*.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
              5. metadata-evalN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{1}{8} \cdot 2\right)}}}, \frac{1}{2}\right)} \]
              6. metadata-evalN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\color{blue}{{\frac{1}{2}}^{3}} \cdot 2\right)}}, \frac{1}{2}\right)} \]
              7. pow-powN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)}^{2}}}, \frac{1}{2}\right)} \]
              8. metadata-evalN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{8}}}\right)}^{2}}, \frac{1}{2}\right)} \]
              9. metadata-evalN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{\frac{1}{4}}{2}\right)}}\right)}^{2}}, \frac{1}{2}\right)} \]
              10. pow2N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}}}, \frac{1}{2}\right)} \]
              11. fabs-sqrN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\left|{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}\right|}}, \frac{1}{2}\right)} \]
              12. sqr-powN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
              13. lift-pow.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
              14. rem-sqrt-square-revN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}}, \frac{1}{2}\right)} \]
              15. pow2N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}^{2}}}}, \frac{1}{2}\right)} \]
              16. lift-pow.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\color{blue}{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}}^{2}}}, \frac{1}{2}\right)} \]
              17. pow-powN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{1}{4} \cdot 2\right)}}}}, \frac{1}{2}\right)} \]
              18. metadata-evalN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{2}}}}}, \frac{1}{2}\right)} \]
              19. pow1/2N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, \frac{1}{2}\right)} \]
              20. lift-fma.f64N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\sqrt{\color{blue}{\left(4 \cdot p\right) \cdot p + x \cdot x}}}}, \frac{1}{2}\right)} \]
            6. Applied rewrites99.7%

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{\color{blue}{\sqrt{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, 0.5\right)} \]
            7. Taylor expanded in p around 0

              \[\leadsto \color{blue}{1} \]
            8. Step-by-step derivation
              1. Applied rewrites97.1%

                \[\leadsto \color{blue}{1} \]
            9. Recombined 3 regimes into one program.
            10. Add Preprocessing

            Alternative 5: 99.8% accurate, 0.5× speedup?

            \[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 10^{-7}:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.5}{\sqrt{\mathsf{fma}\left(p\_m \cdot 4, p\_m, x \cdot x\right)}}, 0.5\right)}\\ \end{array} \end{array} \]
            p_m = (fabs.f64 p)
            (FPCore (p_m x)
             :precision binary64
             (if (<=
                  (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))
                  1e-7)
               (/ (- p_m) x)
               (sqrt (fma x (/ 0.5 (sqrt (fma (* p_m 4.0) p_m (* x x)))) 0.5))))
            p_m = fabs(p);
            double code(double p_m, double x) {
            	double tmp;
            	if (sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 1e-7) {
            		tmp = -p_m / x;
            	} else {
            		tmp = sqrt(fma(x, (0.5 / sqrt(fma((p_m * 4.0), p_m, (x * x)))), 0.5));
            	}
            	return tmp;
            }
            
            p_m = abs(p)
            function code(p_m, x)
            	tmp = 0.0
            	if (sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x))))))) <= 1e-7)
            		tmp = Float64(Float64(-p_m) / x);
            	else
            		tmp = sqrt(fma(x, Float64(0.5 / sqrt(fma(Float64(p_m * 4.0), p_m, Float64(x * x)))), 0.5));
            	end
            	return tmp
            end
            
            p_m = N[Abs[p], $MachinePrecision]
            code[p$95$m_, x_] := If[LessEqual[N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 1e-7], N[((-p$95$m) / x), $MachinePrecision], N[Sqrt[N[(x * N[(0.5 / N[Sqrt[N[(N[(p$95$m * 4.0), $MachinePrecision] * p$95$m + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]]
            
            \begin{array}{l}
            p_m = \left|p\right|
            
            \\
            \begin{array}{l}
            \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 10^{-7}:\\
            \;\;\;\;\frac{-p\_m}{x}\\
            
            \mathbf{else}:\\
            \;\;\;\;\sqrt{\mathsf{fma}\left(x, \frac{0.5}{\sqrt{\mathsf{fma}\left(p\_m \cdot 4, p\_m, x \cdot x\right)}}, 0.5\right)}\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 9.9999999999999995e-8

              1. Initial program 17.3%

                \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                2. lift-+.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                3. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
                4. distribute-lft-inN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
                5. *-commutativeN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
                6. lift-/.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
                7. associate-*l/N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                8. lift-sqrt.f64N/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                9. pow1/2N/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
                10. sqr-powN/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                11. times-fracN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                12. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
                13. lower-fma.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
              4. Applied rewrites3.1%

                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
              5. Taylor expanded in x around -inf

                \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
              6. Step-by-step derivation
                1. mul-1-negN/A

                  \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
                2. distribute-neg-fracN/A

                  \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
                3. lower-/.f64N/A

                  \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
                4. lower-neg.f6452.4

                  \[\leadsto \frac{\color{blue}{-p}}{x} \]
              7. Applied rewrites52.4%

                \[\leadsto \color{blue}{\frac{-p}{x}} \]

              if 9.9999999999999995e-8 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

              1. Initial program 99.9%

                \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                2. lift-+.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                3. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
                4. distribute-lft-inN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
                5. *-commutativeN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
                6. lift-/.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
                7. associate-*l/N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                8. associate-/l*N/A

                  \[\leadsto \sqrt{\color{blue}{x \cdot \frac{\frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                9. metadata-evalN/A

                  \[\leadsto \sqrt{x \cdot \frac{\frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \color{blue}{\frac{1}{2}}} \]
                10. lower-fma.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(x, \frac{\frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}, \frac{1}{2}\right)}} \]
              4. Applied rewrites99.9%

                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(x, \frac{0.5}{\sqrt{\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)}}, 0.5\right)}} \]
            3. Recombined 2 regimes into one program.
            4. Add Preprocessing

            Alternative 6: 98.4% accurate, 0.5× speedup?

            \[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 0.2:\\ \;\;\;\;\frac{-p\_m}{x}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{x}{\mathsf{fma}\left(p\_m \cdot p\_m, \frac{2}{x}, x\right)}, 0.5, 0.5\right)}\\ \end{array} \end{array} \]
            p_m = (fabs.f64 p)
            (FPCore (p_m x)
             :precision binary64
             (if (<=
                  (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))
                  0.2)
               (/ (- p_m) x)
               (sqrt (fma (/ x (fma (* p_m p_m) (/ 2.0 x) x)) 0.5 0.5))))
            p_m = fabs(p);
            double code(double p_m, double x) {
            	double tmp;
            	if (sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 0.2) {
            		tmp = -p_m / x;
            	} else {
            		tmp = sqrt(fma((x / fma((p_m * p_m), (2.0 / x), x)), 0.5, 0.5));
            	}
            	return tmp;
            }
            
            p_m = abs(p)
            function code(p_m, x)
            	tmp = 0.0
            	if (sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x))))))) <= 0.2)
            		tmp = Float64(Float64(-p_m) / x);
            	else
            		tmp = sqrt(fma(Float64(x / fma(Float64(p_m * p_m), Float64(2.0 / x), x)), 0.5, 0.5));
            	end
            	return tmp
            end
            
            p_m = N[Abs[p], $MachinePrecision]
            code[p$95$m_, x_] := If[LessEqual[N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 0.2], N[((-p$95$m) / x), $MachinePrecision], N[Sqrt[N[(N[(x / N[(N[(p$95$m * p$95$m), $MachinePrecision] * N[(2.0 / x), $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]], $MachinePrecision]]
            
            \begin{array}{l}
            p_m = \left|p\right|
            
            \\
            \begin{array}{l}
            \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 0.2:\\
            \;\;\;\;\frac{-p\_m}{x}\\
            
            \mathbf{else}:\\
            \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{x}{\mathsf{fma}\left(p\_m \cdot p\_m, \frac{2}{x}, x\right)}, 0.5, 0.5\right)}\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.20000000000000001

              1. Initial program 19.5%

                \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                2. lift-+.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                3. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
                4. distribute-lft-inN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
                5. *-commutativeN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
                6. lift-/.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
                7. associate-*l/N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                8. lift-sqrt.f64N/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                9. pow1/2N/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
                10. sqr-powN/A

                  \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                11. times-fracN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                12. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
                13. lower-fma.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
              4. Applied rewrites5.8%

                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
              5. Taylor expanded in x around -inf

                \[\leadsto \color{blue}{-1 \cdot \frac{p}{x}} \]
              6. Step-by-step derivation
                1. mul-1-negN/A

                  \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{p}{x}\right)} \]
                2. distribute-neg-fracN/A

                  \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
                3. lower-/.f64N/A

                  \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(p\right)}{x}} \]
                4. lower-neg.f6451.9

                  \[\leadsto \frac{\color{blue}{-p}}{x} \]
              7. Applied rewrites51.9%

                \[\leadsto \color{blue}{\frac{-p}{x}} \]

              if 0.20000000000000001 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

              1. Initial program 100.0%

                \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in p around 0

                \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{x + 2 \cdot \frac{{p}^{2}}{x}}}\right)} \]
              4. Step-by-step derivation
                1. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{2 \cdot \frac{{p}^{2}}{x} + x}}\right)} \]
                2. associate-*r/N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{\frac{2 \cdot {p}^{2}}{x}} + x}\right)} \]
                3. associate-*l/N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{\frac{2}{x} \cdot {p}^{2}} + x}\right)} \]
                4. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\frac{\color{blue}{2 \cdot 1}}{x} \cdot {p}^{2} + x}\right)} \]
                5. associate-*r/N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{\left(2 \cdot \frac{1}{x}\right)} \cdot {p}^{2} + x}\right)} \]
                6. lower-fma.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\color{blue}{\mathsf{fma}\left(2 \cdot \frac{1}{x}, {p}^{2}, x\right)}}\right)} \]
                7. associate-*r/N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\color{blue}{\frac{2 \cdot 1}{x}}, {p}^{2}, x\right)}\right)} \]
                8. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\frac{\color{blue}{2}}{x}, {p}^{2}, x\right)}\right)} \]
                9. lower-/.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\color{blue}{\frac{2}{x}}, {p}^{2}, x\right)}\right)} \]
                10. unpow2N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\frac{2}{x}, \color{blue}{p \cdot p}, x\right)}\right)} \]
                11. lower-*.f6498.0

                  \[\leadsto \sqrt{0.5 \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\frac{2}{x}, \color{blue}{p \cdot p}, x\right)}\right)} \]
              5. Applied rewrites98.0%

                \[\leadsto \sqrt{0.5 \cdot \left(1 + \frac{x}{\color{blue}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)}}\right)} \]
              6. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)}\right)}} \]
                2. lift-+.f64N/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)}\right)}} \]
                3. +-commutativeN/A

                  \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)} + 1\right)}} \]
                4. distribute-rgt-inN/A

                  \[\leadsto \sqrt{\color{blue}{\frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)} \cdot \frac{1}{2} + 1 \cdot \frac{1}{2}}} \]
                5. metadata-evalN/A

                  \[\leadsto \sqrt{\frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)} \cdot \frac{1}{2} + \color{blue}{\frac{1}{2}}} \]
                6. lower-fma.f6498.0

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{\mathsf{fma}\left(\frac{2}{x}, p \cdot p, x\right)}, 0.5, 0.5\right)}} \]
              7. Applied rewrites98.0%

                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{\mathsf{fma}\left(p \cdot p, \frac{2}{x}, x\right)}, 0.5, 0.5\right)}} \]
            3. Recombined 2 regimes into one program.
            4. Add Preprocessing

            Alternative 7: 75.0% accurate, 0.8× speedup?

            \[\begin{array}{l} p_m = \left|p\right| \\ \begin{array}{l} \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 0.86:\\ \;\;\;\;\sqrt{0.5}\\ \mathbf{else}:\\ \;\;\;\;1\\ \end{array} \end{array} \]
            p_m = (fabs.f64 p)
            (FPCore (p_m x)
             :precision binary64
             (if (<=
                  (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p_m) p_m) (* x x)))))))
                  0.86)
               (sqrt 0.5)
               1.0))
            p_m = fabs(p);
            double code(double p_m, double x) {
            	double tmp;
            	if (sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 0.86) {
            		tmp = sqrt(0.5);
            	} else {
            		tmp = 1.0;
            	}
            	return tmp;
            }
            
            p_m =     private
            module fmin_fmax_functions
                implicit none
                private
                public fmax
                public fmin
            
                interface fmax
                    module procedure fmax88
                    module procedure fmax44
                    module procedure fmax84
                    module procedure fmax48
                end interface
                interface fmin
                    module procedure fmin88
                    module procedure fmin44
                    module procedure fmin84
                    module procedure fmin48
                end interface
            contains
                real(8) function fmax88(x, y) result (res)
                    real(8), intent (in) :: x
                    real(8), intent (in) :: y
                    res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                end function
                real(4) function fmax44(x, y) result (res)
                    real(4), intent (in) :: x
                    real(4), intent (in) :: y
                    res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                end function
                real(8) function fmax84(x, y) result(res)
                    real(8), intent (in) :: x
                    real(4), intent (in) :: y
                    res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
                end function
                real(8) function fmax48(x, y) result(res)
                    real(4), intent (in) :: x
                    real(8), intent (in) :: y
                    res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
                end function
                real(8) function fmin88(x, y) result (res)
                    real(8), intent (in) :: x
                    real(8), intent (in) :: y
                    res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                end function
                real(4) function fmin44(x, y) result (res)
                    real(4), intent (in) :: x
                    real(4), intent (in) :: y
                    res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                end function
                real(8) function fmin84(x, y) result(res)
                    real(8), intent (in) :: x
                    real(4), intent (in) :: y
                    res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
                end function
                real(8) function fmin48(x, y) result(res)
                    real(4), intent (in) :: x
                    real(8), intent (in) :: y
                    res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
                end function
            end module
            
            real(8) function code(p_m, x)
            use fmin_fmax_functions
                real(8), intent (in) :: p_m
                real(8), intent (in) :: x
                real(8) :: tmp
                if (sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p_m) * p_m) + (x * x))))))) <= 0.86d0) then
                    tmp = sqrt(0.5d0)
                else
                    tmp = 1.0d0
                end if
                code = tmp
            end function
            
            p_m = Math.abs(p);
            public static double code(double p_m, double x) {
            	double tmp;
            	if (Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 0.86) {
            		tmp = Math.sqrt(0.5);
            	} else {
            		tmp = 1.0;
            	}
            	return tmp;
            }
            
            p_m = math.fabs(p)
            def code(p_m, x):
            	tmp = 0
            	if math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 0.86:
            		tmp = math.sqrt(0.5)
            	else:
            		tmp = 1.0
            	return tmp
            
            p_m = abs(p)
            function code(p_m, x)
            	tmp = 0.0
            	if (sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p_m) * p_m) + Float64(x * x))))))) <= 0.86)
            		tmp = sqrt(0.5);
            	else
            		tmp = 1.0;
            	end
            	return tmp
            end
            
            p_m = abs(p);
            function tmp_2 = code(p_m, x)
            	tmp = 0.0;
            	if (sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p_m) * p_m) + (x * x))))))) <= 0.86)
            		tmp = sqrt(0.5);
            	else
            		tmp = 1.0;
            	end
            	tmp_2 = tmp;
            end
            
            p_m = N[Abs[p], $MachinePrecision]
            code[p$95$m_, x_] := If[LessEqual[N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p$95$m), $MachinePrecision] * p$95$m), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 0.86], N[Sqrt[0.5], $MachinePrecision], 1.0]
            
            \begin{array}{l}
            p_m = \left|p\right|
            
            \\
            \begin{array}{l}
            \mathbf{if}\;\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\_m\right) \cdot p\_m + x \cdot x}}\right)} \leq 0.86:\\
            \;\;\;\;\sqrt{0.5}\\
            
            \mathbf{else}:\\
            \;\;\;\;1\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x))))))) < 0.859999999999999987

              1. Initial program 72.8%

                \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in p around inf

                \[\leadsto \sqrt{\color{blue}{\frac{1}{2}}} \]
              4. Step-by-step derivation
                1. Applied rewrites66.6%

                  \[\leadsto \sqrt{\color{blue}{0.5}} \]

                if 0.859999999999999987 < (sqrt.f64 (*.f64 #s(literal 1/2 binary64) (+.f64 #s(literal 1 binary64) (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))))))

                1. Initial program 100.0%

                  \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
                2. Add Preprocessing
                3. Step-by-step derivation
                  1. lift-*.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                  2. lift-+.f64N/A

                    \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                  3. +-commutativeN/A

                    \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
                  4. distribute-lft-inN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
                  5. *-commutativeN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
                  6. lift-/.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
                  7. associate-*l/N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                  8. lift-sqrt.f64N/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                  9. pow1/2N/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
                  10. sqr-powN/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                  11. times-fracN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                  12. metadata-evalN/A

                    \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
                  13. lower-fma.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
                4. Applied rewrites99.7%

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
                5. Step-by-step derivation
                  1. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{1}{2}\right)} \]
                  2. lift-*.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{p \cdot 4}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  3. *-commutativeN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  4. lift-*.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  5. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{1}{8} \cdot 2\right)}}}, \frac{1}{2}\right)} \]
                  6. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\color{blue}{{\frac{1}{2}}^{3}} \cdot 2\right)}}, \frac{1}{2}\right)} \]
                  7. pow-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)}^{2}}}, \frac{1}{2}\right)} \]
                  8. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{8}}}\right)}^{2}}, \frac{1}{2}\right)} \]
                  9. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{\frac{1}{4}}{2}\right)}}\right)}^{2}}, \frac{1}{2}\right)} \]
                  10. pow2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}}}, \frac{1}{2}\right)} \]
                  11. fabs-sqrN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\left|{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}\right|}}, \frac{1}{2}\right)} \]
                  12. sqr-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
                  13. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
                  14. rem-sqrt-square-revN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}}, \frac{1}{2}\right)} \]
                  15. pow2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}^{2}}}}, \frac{1}{2}\right)} \]
                  16. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\color{blue}{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}}^{2}}}, \frac{1}{2}\right)} \]
                  17. pow-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{1}{4} \cdot 2\right)}}}}, \frac{1}{2}\right)} \]
                  18. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{2}}}}}, \frac{1}{2}\right)} \]
                  19. pow1/2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, \frac{1}{2}\right)} \]
                  20. lift-fma.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\sqrt{\color{blue}{\left(4 \cdot p\right) \cdot p + x \cdot x}}}}, \frac{1}{2}\right)} \]
                6. Applied rewrites99.7%

                  \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{\color{blue}{\sqrt{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, 0.5\right)} \]
                7. Taylor expanded in p around 0

                  \[\leadsto \color{blue}{1} \]
                8. Step-by-step derivation
                  1. Applied rewrites97.1%

                    \[\leadsto \color{blue}{1} \]
                9. Recombined 2 regimes into one program.
                10. Add Preprocessing

                Alternative 8: 35.1% accurate, 58.0× speedup?

                \[\begin{array}{l} p_m = \left|p\right| \\ 1 \end{array} \]
                p_m = (fabs.f64 p)
                (FPCore (p_m x) :precision binary64 1.0)
                p_m = fabs(p);
                double code(double p_m, double x) {
                	return 1.0;
                }
                
                p_m =     private
                module fmin_fmax_functions
                    implicit none
                    private
                    public fmax
                    public fmin
                
                    interface fmax
                        module procedure fmax88
                        module procedure fmax44
                        module procedure fmax84
                        module procedure fmax48
                    end interface
                    interface fmin
                        module procedure fmin88
                        module procedure fmin44
                        module procedure fmin84
                        module procedure fmin48
                    end interface
                contains
                    real(8) function fmax88(x, y) result (res)
                        real(8), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                    end function
                    real(4) function fmax44(x, y) result (res)
                        real(4), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                    end function
                    real(8) function fmax84(x, y) result(res)
                        real(8), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
                    end function
                    real(8) function fmax48(x, y) result(res)
                        real(4), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
                    end function
                    real(8) function fmin88(x, y) result (res)
                        real(8), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                    end function
                    real(4) function fmin44(x, y) result (res)
                        real(4), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                    end function
                    real(8) function fmin84(x, y) result(res)
                        real(8), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
                    end function
                    real(8) function fmin48(x, y) result(res)
                        real(4), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
                    end function
                end module
                
                real(8) function code(p_m, x)
                use fmin_fmax_functions
                    real(8), intent (in) :: p_m
                    real(8), intent (in) :: x
                    code = 1.0d0
                end function
                
                p_m = Math.abs(p);
                public static double code(double p_m, double x) {
                	return 1.0;
                }
                
                p_m = math.fabs(p)
                def code(p_m, x):
                	return 1.0
                
                p_m = abs(p)
                function code(p_m, x)
                	return 1.0
                end
                
                p_m = abs(p);
                function tmp = code(p_m, x)
                	tmp = 1.0;
                end
                
                p_m = N[Abs[p], $MachinePrecision]
                code[p$95$m_, x_] := 1.0
                
                \begin{array}{l}
                p_m = \left|p\right|
                
                \\
                1
                \end{array}
                
                Derivation
                1. Initial program 79.2%

                  \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]
                2. Add Preprocessing
                3. Step-by-step derivation
                  1. lift-*.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                  2. lift-+.f64N/A

                    \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}} \]
                  3. +-commutativeN/A

                    \[\leadsto \sqrt{\frac{1}{2} \cdot \color{blue}{\left(\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + 1\right)}} \]
                  4. distribute-lft-inN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{1}{2} \cdot \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} + \frac{1}{2} \cdot 1}} \]
                  5. *-commutativeN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}} \cdot \frac{1}{2}} + \frac{1}{2} \cdot 1} \]
                  6. lift-/.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} \cdot \frac{1}{2} + \frac{1}{2} \cdot 1} \]
                  7. associate-*l/N/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x \cdot \frac{1}{2}}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                  8. lift-sqrt.f64N/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}} + \frac{1}{2} \cdot 1} \]
                  9. pow1/2N/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\frac{1}{2}}}} + \frac{1}{2} \cdot 1} \]
                  10. sqr-powN/A

                    \[\leadsto \sqrt{\frac{x \cdot \frac{1}{2}}{\color{blue}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                  11. times-fracN/A

                    \[\leadsto \sqrt{\color{blue}{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}} + \frac{1}{2} \cdot 1} \]
                  12. metadata-evalN/A

                    \[\leadsto \sqrt{\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \cdot \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} + \color{blue}{\frac{1}{2}}} \]
                  13. lower-fma.f64N/A

                    \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{\frac{1}{2}}{{\left(\left(4 \cdot p\right) \cdot p + x \cdot x\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}}, \frac{1}{2}\right)}} \]
                4. Applied rewrites75.6%

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, 0.5\right)}} \]
                5. Step-by-step derivation
                  1. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}, \frac{1}{2}\right)} \]
                  2. lift-*.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{p \cdot 4}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  3. *-commutativeN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  4. lift-*.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(\color{blue}{4 \cdot p}, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{1}{2}\right)} \]
                  5. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{1}{8} \cdot 2\right)}}}, \frac{1}{2}\right)} \]
                  6. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\color{blue}{{\frac{1}{2}}^{3}} \cdot 2\right)}}, \frac{1}{2}\right)} \]
                  7. pow-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)}^{2}}}, \frac{1}{2}\right)} \]
                  8. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{8}}}\right)}^{2}}, \frac{1}{2}\right)} \]
                  9. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\left(\frac{\frac{1}{4}}{2}\right)}}\right)}^{2}}, \frac{1}{2}\right)} \]
                  10. pow2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}}}, \frac{1}{2}\right)} \]
                  11. fabs-sqrN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\left|{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{\frac{1}{4}}{2}\right)}\right|}}, \frac{1}{2}\right)} \]
                  12. sqr-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
                  13. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\left|\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}\right|}, \frac{1}{2}\right)} \]
                  14. rem-sqrt-square-revN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\color{blue}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}} \cdot {\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}}}}, \frac{1}{2}\right)} \]
                  15. pow2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}^{2}}}}, \frac{1}{2}\right)} \]
                  16. lift-pow.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\color{blue}{\left({\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\frac{1}{4}}\right)}}^{2}}}, \frac{1}{2}\right)} \]
                  17. pow-powN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\left(\frac{1}{4} \cdot 2\right)}}}}, \frac{1}{2}\right)} \]
                  18. metadata-evalN/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{{\left(\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)\right)}^{\color{blue}{\frac{1}{2}}}}}, \frac{1}{2}\right)} \]
                  19. pow1/2N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\color{blue}{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, \frac{1}{2}\right)} \]
                  20. lift-fma.f64N/A

                    \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{\frac{1}{4}}}, \frac{\frac{1}{2}}{\sqrt{\sqrt{\color{blue}{\left(4 \cdot p\right) \cdot p + x \cdot x}}}}, \frac{1}{2}\right)} \]
                6. Applied rewrites75.6%

                  \[\leadsto \sqrt{\mathsf{fma}\left(\frac{x}{{\left(\mathsf{fma}\left(p \cdot 4, p, x \cdot x\right)\right)}^{0.25}}, \frac{0.5}{\color{blue}{\sqrt{\sqrt{\mathsf{fma}\left(4 \cdot p, p, x \cdot x\right)}}}}, 0.5\right)} \]
                7. Taylor expanded in p around 0

                  \[\leadsto \color{blue}{1} \]
                8. Step-by-step derivation
                  1. Applied rewrites34.6%

                    \[\leadsto \color{blue}{1} \]
                  2. Add Preprocessing

                  Developer Target 1: 79.4% accurate, 0.2× speedup?

                  \[\begin{array}{l} \\ \sqrt{0.5 + \frac{\mathsf{copysign}\left(0.5, x\right)}{\mathsf{hypot}\left(1, \frac{2 \cdot p}{x}\right)}} \end{array} \]
                  (FPCore (p x)
                   :precision binary64
                   (sqrt (+ 0.5 (/ (copysign 0.5 x) (hypot 1.0 (/ (* 2.0 p) x))))))
                  double code(double p, double x) {
                  	return sqrt((0.5 + (copysign(0.5, x) / hypot(1.0, ((2.0 * p) / x)))));
                  }
                  
                  public static double code(double p, double x) {
                  	return Math.sqrt((0.5 + (Math.copySign(0.5, x) / Math.hypot(1.0, ((2.0 * p) / x)))));
                  }
                  
                  def code(p, x):
                  	return math.sqrt((0.5 + (math.copysign(0.5, x) / math.hypot(1.0, ((2.0 * p) / x)))))
                  
                  function code(p, x)
                  	return sqrt(Float64(0.5 + Float64(copysign(0.5, x) / hypot(1.0, Float64(Float64(2.0 * p) / x)))))
                  end
                  
                  function tmp = code(p, x)
                  	tmp = sqrt((0.5 + ((sign(x) * abs(0.5)) / hypot(1.0, ((2.0 * p) / x)))));
                  end
                  
                  code[p_, x_] := N[Sqrt[N[(0.5 + N[(N[With[{TMP1 = Abs[0.5], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(2.0 * p), $MachinePrecision] / x), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
                  
                  \begin{array}{l}
                  
                  \\
                  \sqrt{0.5 + \frac{\mathsf{copysign}\left(0.5, x\right)}{\mathsf{hypot}\left(1, \frac{2 \cdot p}{x}\right)}}
                  \end{array}
                  

                  Reproduce

                  ?
                  herbie shell --seed 2024356 
                  (FPCore (p x)
                    :name "Given's Rotation SVD example"
                    :precision binary64
                    :pre (and (< 1e-150 (fabs x)) (< (fabs x) 1e+150))
                  
                    :alt
                    (! :herbie-platform default (sqrt (+ 1/2 (/ (copysign 1/2 x) (hypot 1 (/ (* 2 p) x))))))
                  
                    (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))