Ian Simplification

Percentage Accurate: 7.0% → 8.6%
Time: 4.0s
Alternatives: 5
Speedup: 1.0×

Specification

?
\[\begin{array}{l} \\ \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \end{array} \]
(FPCore (x)
 :precision binary64
 (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
double code(double x) {
	return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
}
public static double code(double x) {
	return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(((1.0 - x) / 2.0))));
}
def code(x):
	return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(((1.0 - x) / 2.0))))
function code(x)
	return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(Float64(Float64(1.0 - x) / 2.0)))))
end
function tmp = code(x)
	tmp = (pi / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 5 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: 7.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \end{array} \]
(FPCore (x)
 :precision binary64
 (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))
double code(double x) {
	return (((double) M_PI) / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
}
public static double code(double x) {
	return (Math.PI / 2.0) - (2.0 * Math.asin(Math.sqrt(((1.0 - x) / 2.0))));
}
def code(x):
	return (math.pi / 2.0) - (2.0 * math.asin(math.sqrt(((1.0 - x) / 2.0))))
function code(x)
	return Float64(Float64(pi / 2.0) - Float64(2.0 * asin(sqrt(Float64(Float64(1.0 - x) / 2.0)))))
end
function tmp = code(x)
	tmp = (pi / 2.0) - (2.0 * asin(sqrt(((1.0 - x) / 2.0))));
end
code[x_] := N[(N[(Pi / 2.0), $MachinePrecision] - N[(2.0 * N[ArcSin[N[Sqrt[N[(N[(1.0 - x), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)
\end{array}

Alternative 1: 8.6% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\right)\right) \end{array} \]
(FPCore (x)
 :precision binary64
 (fma PI 0.5 (* -2.0 (- (* 0.5 PI) (acos (sqrt (fma -0.5 x 0.5)))))))
double code(double x) {
	return fma(((double) M_PI), 0.5, (-2.0 * ((0.5 * ((double) M_PI)) - acos(sqrt(fma(-0.5, x, 0.5))))));
}
function code(x)
	return fma(pi, 0.5, Float64(-2.0 * Float64(Float64(0.5 * pi) - acos(sqrt(fma(-0.5, x, 0.5))))))
end
code[x_] := N[(Pi * 0.5 + N[(-2.0 * N[(N[(0.5 * Pi), $MachinePrecision] - N[ArcCos[N[Sqrt[N[(-0.5 * x + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\right)\right)
\end{array}
Derivation
  1. Initial program 7.0%

    \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
  2. Step-by-step derivation
    1. lift--.f64N/A

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

      \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
    3. lift-asin.f64N/A

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

      \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)} \]
    5. lift--.f64N/A

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

      \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1 - x}{2}}}\right) \]
    7. fp-cancel-sub-sign-invN/A

      \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
    8. lift-PI.f64N/A

      \[\leadsto \frac{\color{blue}{\mathsf{PI}\left(\right)}}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
    9. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
    10. mult-flipN/A

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

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

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

      \[\leadsto \mathsf{fma}\left(\color{blue}{\pi}, \frac{1}{2}, \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right) \]
    14. lower-*.f64N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)}\right) \]
  3. Applied rewrites7.0%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\left(1 - x\right) \cdot 0.5}\right)\right)} \]
  4. Step-by-step derivation
    1. lift-sqrt.f64N/A

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

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\left(1 - x\right) \cdot \color{blue}{\frac{1}{2}}}\right)\right) \]
    5. mult-flipN/A

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1 - x}{2}}}\right)\right) \]
    6. sqrt-divN/A

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

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\frac{\sqrt{1 - x}}{\color{blue}{\sqrt{2}}}\right)\right) \]
    10. lift-/.f647.1

      \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \color{blue}{\left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right)}\right) \]
  5. Applied rewrites7.1%

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\frac{\sqrt{1 - x}}{\color{blue}{\sqrt{2}}}\right)\right) \]
    6. sqrt-divN/A

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)}\right) \]
    7. asin-acosN/A

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{\color{blue}{\pi}}{2} - \cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \]
    9. mult-flipN/A

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

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\color{blue}{\frac{1}{2} \cdot \pi} - \cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \]
    16. sqrt-divN/A

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \color{blue}{\cos^{-1} \left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right)}\right)\right) \]
    18. sqrt-divN/A

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \cos^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right) \]
    20. mult-flipN/A

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

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \cos^{-1} \left(\sqrt{\color{blue}{\left(1 - x\right) \cdot \frac{1}{2}}}\right)\right)\right) \]
    23. lift--.f648.6

      \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\color{blue}{\left(1 - x\right)} \cdot 0.5}\right)\right)\right) \]
  7. Applied rewrites8.6%

    \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \color{blue}{\left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\left(1 - x\right) \cdot 0.5}\right)\right)}\right) \]
  8. Taylor expanded in x around 0

    \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \cos^{-1} \left(\sqrt{\color{blue}{\frac{1}{2} + \frac{-1}{2} \cdot x}}\right)\right)\right) \]
  9. Step-by-step derivation
    1. metadata-evalN/A

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \cos^{-1} \left(\sqrt{\frac{1}{2} + \frac{-1}{2} \cdot x}\right)\right)\right) \]
    2. mult-flipN/A

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

      \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \pi - \cos^{-1} \left(\sqrt{\frac{-1}{2} \cdot x + \color{blue}{\frac{1}{2}}}\right)\right)\right) \]
    4. lower-fma.f648.6

      \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, \color{blue}{x}, 0.5\right)}\right)\right)\right) \]
  10. Applied rewrites8.6%

    \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{\color{blue}{\mathsf{fma}\left(-0.5, x, 0.5\right)}}\right)\right)\right) \]
  11. Add Preprocessing

Alternative 2: 7.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq -2 \cdot 10^{-310}:\\ \;\;\;\;\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\frac{1}{\sqrt{2}}\right)\right)\\ \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (if (<= x -2e-310)
   (fma PI 0.5 (* -2.0 (asin (sqrt 0.5))))
   (fma PI 0.5 (* -2.0 (asin (/ 1.0 (sqrt 2.0)))))))
double code(double x) {
	double tmp;
	if (x <= -2e-310) {
		tmp = fma(((double) M_PI), 0.5, (-2.0 * asin(sqrt(0.5))));
	} else {
		tmp = fma(((double) M_PI), 0.5, (-2.0 * asin((1.0 / sqrt(2.0)))));
	}
	return tmp;
}
function code(x)
	tmp = 0.0
	if (x <= -2e-310)
		tmp = fma(pi, 0.5, Float64(-2.0 * asin(sqrt(0.5))));
	else
		tmp = fma(pi, 0.5, Float64(-2.0 * asin(Float64(1.0 / sqrt(2.0)))));
	end
	return tmp
end
code[x_] := If[LessEqual[x, -2e-310], N[(Pi * 0.5 + N[(-2.0 * N[ArcSin[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(Pi * 0.5 + N[(-2.0 * N[ArcSin[N[(1.0 / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \leq -2 \cdot 10^{-310}:\\
\;\;\;\;\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\frac{1}{\sqrt{2}}\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if x < -1.999999999999994e-310

    1. Initial program 7.0%

      \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
    2. Taylor expanded in x around 0

      \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1}{2}}}\right) \]
    3. Step-by-step derivation
      1. Applied rewrites4.1%

        \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{0.5}}\right) \]
      2. Step-by-step derivation
        1. lift--.f64N/A

          \[\leadsto \color{blue}{\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
        2. lift-*.f64N/A

          \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
        3. fp-cancel-sub-sign-invN/A

          \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
        4. lift-/.f64N/A

          \[\leadsto \color{blue}{\frac{\pi}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
        5. mult-flipN/A

          \[\leadsto \color{blue}{\pi \cdot \frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
        6. metadata-evalN/A

          \[\leadsto \pi \cdot \color{blue}{\frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
        7. lower-fma.f64N/A

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

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, \color{blue}{-2} \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)\right) \]
        9. lower-*.f644.1

          \[\leadsto \mathsf{fma}\left(\pi, 0.5, \color{blue}{-2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)}\right) \]
      3. Applied rewrites4.1%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)} \]

      if -1.999999999999994e-310 < x

      1. Initial program 7.0%

        \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
      2. Step-by-step derivation
        1. lift--.f64N/A

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

          \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
        3. lift-asin.f64N/A

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

          \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)} \]
        5. lift--.f64N/A

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

          \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1 - x}{2}}}\right) \]
        7. fp-cancel-sub-sign-invN/A

          \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
        8. lift-PI.f64N/A

          \[\leadsto \frac{\color{blue}{\mathsf{PI}\left(\right)}}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
        9. lift-/.f64N/A

          \[\leadsto \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
        10. mult-flipN/A

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

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

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

          \[\leadsto \mathsf{fma}\left(\color{blue}{\pi}, \frac{1}{2}, \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right) \]
        14. lower-*.f64N/A

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

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

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

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

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)}\right) \]
      3. Applied rewrites7.0%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\left(1 - x\right) \cdot 0.5}\right)\right)} \]
      4. Step-by-step derivation
        1. lift-sqrt.f64N/A

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

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

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

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\left(1 - x\right) \cdot \color{blue}{\frac{1}{2}}}\right)\right) \]
        5. mult-flipN/A

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1 - x}{2}}}\right)\right) \]
        6. sqrt-divN/A

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

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

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

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\frac{\sqrt{1 - x}}{\color{blue}{\sqrt{2}}}\right)\right) \]
        10. lift-/.f647.1

          \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \color{blue}{\left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right)}\right) \]
      5. Applied rewrites7.1%

        \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \color{blue}{\left(\frac{\sqrt{1 - x}}{\sqrt{2}}\right)}\right) \]
      6. Taylor expanded in x around 0

        \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\frac{\color{blue}{1}}{\sqrt{2}}\right)\right) \]
      7. Step-by-step derivation
        1. Applied rewrites4.1%

          \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\frac{\color{blue}{1}}{\sqrt{2}}\right)\right) \]
      8. Recombined 2 regimes into one program.
      9. Add Preprocessing

      Alternative 3: 5.9% accurate, 1.1× speedup?

      \[\begin{array}{l} \\ \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{0.5}\right)\right)\right) \end{array} \]
      (FPCore (x)
       :precision binary64
       (fma PI 0.5 (* -2.0 (- (* 0.5 PI) (acos (sqrt 0.5))))))
      double code(double x) {
      	return fma(((double) M_PI), 0.5, (-2.0 * ((0.5 * ((double) M_PI)) - acos(sqrt(0.5)))));
      }
      
      function code(x)
      	return fma(pi, 0.5, Float64(-2.0 * Float64(Float64(0.5 * pi) - acos(sqrt(0.5)))))
      end
      
      code[x_] := N[(Pi * 0.5 + N[(-2.0 * N[(N[(0.5 * Pi), $MachinePrecision] - N[ArcCos[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
      
      \begin{array}{l}
      
      \\
      \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{0.5}\right)\right)\right)
      \end{array}
      
      Derivation
      1. Initial program 7.0%

        \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
      2. Taylor expanded in x around 0

        \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1}{2}}}\right) \]
      3. Step-by-step derivation
        1. Applied rewrites4.1%

          \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{0.5}}\right) \]
        2. Step-by-step derivation
          1. lift--.f64N/A

            \[\leadsto \color{blue}{\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
          2. lift-*.f64N/A

            \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
          3. fp-cancel-sub-sign-invN/A

            \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
          4. lift-/.f64N/A

            \[\leadsto \color{blue}{\frac{\pi}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
          5. mult-flipN/A

            \[\leadsto \color{blue}{\pi \cdot \frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
          6. metadata-evalN/A

            \[\leadsto \pi \cdot \color{blue}{\frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
          7. lower-fma.f64N/A

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, \color{blue}{-2} \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)\right) \]
          9. lower-*.f644.1

            \[\leadsto \mathsf{fma}\left(\pi, 0.5, \color{blue}{-2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)}\right) \]
        3. Applied rewrites4.1%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)} \]
        4. Step-by-step derivation
          1. lift-asin.f64N/A

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \color{blue}{\sin^{-1} \left(\sqrt{\frac{1}{2}}\right)}\right) \]
          2. asin-acosN/A

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{\color{blue}{\pi}}{2} - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)\right) \]
          4. mult-flipN/A

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\pi \cdot \color{blue}{\frac{1}{2}} - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)\right) \]
          6. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\color{blue}{\frac{1}{2} \cdot \pi} - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)\right) \]
          7. lift-PI.f64N/A

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\frac{1}{2} \cdot \color{blue}{\mathsf{PI}\left(\right)} - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)\right) \]
          8. lower--.f64N/A

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)}\right) \]
          9. lift-PI.f64N/A

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \left(\color{blue}{\frac{1}{2} \cdot \pi} - \cos^{-1} \left(\sqrt{\frac{1}{2}}\right)\right)\right) \]
          11. lower-acos.f645.4

            \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \left(0.5 \cdot \pi - \color{blue}{\cos^{-1} \left(\sqrt{0.5}\right)}\right)\right) \]
        5. Applied rewrites5.4%

          \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \color{blue}{\left(0.5 \cdot \pi - \cos^{-1} \left(\sqrt{0.5}\right)\right)}\right) \]
        6. Add Preprocessing

        Alternative 4: 5.4% accurate, 1.1× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\right) \end{array} \]
        (FPCore (x)
         :precision binary64
         (fma PI 0.5 (* -2.0 (asin (sqrt (fma -0.5 x 0.5))))))
        double code(double x) {
        	return fma(((double) M_PI), 0.5, (-2.0 * asin(sqrt(fma(-0.5, x, 0.5)))));
        }
        
        function code(x)
        	return fma(pi, 0.5, Float64(-2.0 * asin(sqrt(fma(-0.5, x, 0.5)))))
        end
        
        code[x_] := N[(Pi * 0.5 + N[(-2.0 * N[ArcSin[N[Sqrt[N[(-0.5 * x + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
        
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, x, 0.5\right)}\right)\right)
        \end{array}
        
        Derivation
        1. Initial program 7.0%

          \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
        2. Step-by-step derivation
          1. lift--.f64N/A

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

            \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
          3. lift-asin.f64N/A

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

            \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)} \]
          5. lift--.f64N/A

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

            \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1 - x}{2}}}\right) \]
          7. fp-cancel-sub-sign-invN/A

            \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)} \]
          8. lift-PI.f64N/A

            \[\leadsto \frac{\color{blue}{\mathsf{PI}\left(\right)}}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
          9. lift-/.f64N/A

            \[\leadsto \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
          10. mult-flipN/A

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

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

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

            \[\leadsto \mathsf{fma}\left(\color{blue}{\pi}, \frac{1}{2}, \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right) \]
          14. lower-*.f64N/A

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

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

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

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \color{blue}{\left(\sqrt{\frac{1 - x}{2}}\right)}\right) \]
        3. Applied rewrites7.0%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\left(1 - x\right) \cdot 0.5}\right)\right)} \]
        4. Taylor expanded in x around 0

          \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1}{2} + \frac{-1}{2} \cdot x}}\right)\right) \]
        5. Step-by-step derivation
          1. metadata-evalN/A

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2} + \frac{-1}{2} \cdot x}\right)\right) \]
          2. mult-flipN/A

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

            \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, -2 \cdot \sin^{-1} \left(\sqrt{\frac{-1}{2} \cdot x + \color{blue}{\frac{1}{2}}}\right)\right) \]
          4. lower-fma.f647.0

            \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\mathsf{fma}\left(-0.5, \color{blue}{x}, 0.5\right)}\right)\right) \]
        6. Applied rewrites7.0%

          \[\leadsto \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\mathsf{fma}\left(-0.5, x, 0.5\right)}}\right)\right) \]
        7. Add Preprocessing

        Alternative 5: 4.1% accurate, 1.5× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right) \end{array} \]
        (FPCore (x) :precision binary64 (fma PI 0.5 (* -2.0 (asin (sqrt 0.5)))))
        double code(double x) {
        	return fma(((double) M_PI), 0.5, (-2.0 * asin(sqrt(0.5))));
        }
        
        function code(x)
        	return fma(pi, 0.5, Float64(-2.0 * asin(sqrt(0.5))))
        end
        
        code[x_] := N[(Pi * 0.5 + N[(-2.0 * N[ArcSin[N[Sqrt[0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
        
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)
        \end{array}
        
        Derivation
        1. Initial program 7.0%

          \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
        2. Taylor expanded in x around 0

          \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{\frac{1}{2}}}\right) \]
        3. Step-by-step derivation
          1. Applied rewrites4.1%

            \[\leadsto \frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\color{blue}{0.5}}\right) \]
          2. Step-by-step derivation
            1. lift--.f64N/A

              \[\leadsto \color{blue}{\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
            2. lift-*.f64N/A

              \[\leadsto \frac{\pi}{2} - \color{blue}{2 \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
            3. fp-cancel-sub-sign-invN/A

              \[\leadsto \color{blue}{\frac{\pi}{2} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)} \]
            4. lift-/.f64N/A

              \[\leadsto \color{blue}{\frac{\pi}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
            5. mult-flipN/A

              \[\leadsto \color{blue}{\pi \cdot \frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
            6. metadata-evalN/A

              \[\leadsto \pi \cdot \color{blue}{\frac{1}{2}} + \left(\mathsf{neg}\left(2\right)\right) \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right) \]
            7. lower-fma.f64N/A

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

              \[\leadsto \mathsf{fma}\left(\pi, \frac{1}{2}, \color{blue}{-2} \cdot \sin^{-1} \left(\sqrt{\frac{1}{2}}\right)\right) \]
            9. lower-*.f644.1

              \[\leadsto \mathsf{fma}\left(\pi, 0.5, \color{blue}{-2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)}\right) \]
          3. Applied rewrites4.1%

            \[\leadsto \color{blue}{\mathsf{fma}\left(\pi, 0.5, -2 \cdot \sin^{-1} \left(\sqrt{0.5}\right)\right)} \]
          4. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2025130 
          (FPCore (x)
            :name "Ian Simplification"
            :precision binary64
            (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))