Ian Simplification

Percentage Accurate: 6.8% → 8.3%
Time: 16.9s
Alternatives: 3
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}

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 3 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: 6.8% 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: 8.3% accurate, 0.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := 2 \cdot \cos^{-1} \left({\left(0.5 + \frac{x}{-2}\right)}^{0.5}\right)\\ t_1 := t\_0 + \frac{\pi}{2}\\ \frac{{t\_0}^{2}}{t\_1} - \frac{\frac{\pi}{\frac{4}{\pi}}}{t\_1} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (* 2.0 (acos (pow (+ 0.5 (/ x -2.0)) 0.5))))
        (t_1 (+ t_0 (/ PI 2.0))))
   (- (/ (pow t_0 2.0) t_1) (/ (/ PI (/ 4.0 PI)) t_1))))
double code(double x) {
	double t_0 = 2.0 * acos(pow((0.5 + (x / -2.0)), 0.5));
	double t_1 = t_0 + (((double) M_PI) / 2.0);
	return (pow(t_0, 2.0) / t_1) - ((((double) M_PI) / (4.0 / ((double) M_PI))) / t_1);
}
public static double code(double x) {
	double t_0 = 2.0 * Math.acos(Math.pow((0.5 + (x / -2.0)), 0.5));
	double t_1 = t_0 + (Math.PI / 2.0);
	return (Math.pow(t_0, 2.0) / t_1) - ((Math.PI / (4.0 / Math.PI)) / t_1);
}
def code(x):
	t_0 = 2.0 * math.acos(math.pow((0.5 + (x / -2.0)), 0.5))
	t_1 = t_0 + (math.pi / 2.0)
	return (math.pow(t_0, 2.0) / t_1) - ((math.pi / (4.0 / math.pi)) / t_1)
function code(x)
	t_0 = Float64(2.0 * acos((Float64(0.5 + Float64(x / -2.0)) ^ 0.5)))
	t_1 = Float64(t_0 + Float64(pi / 2.0))
	return Float64(Float64((t_0 ^ 2.0) / t_1) - Float64(Float64(pi / Float64(4.0 / pi)) / t_1))
end
function tmp = code(x)
	t_0 = 2.0 * acos(((0.5 + (x / -2.0)) ^ 0.5));
	t_1 = t_0 + (pi / 2.0);
	tmp = ((t_0 ^ 2.0) / t_1) - ((pi / (4.0 / pi)) / t_1);
end
code[x_] := Block[{t$95$0 = N[(2.0 * N[ArcCos[N[Power[N[(0.5 + N[(x / -2.0), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + N[(Pi / 2.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] / t$95$1), $MachinePrecision] - N[(N[(Pi / N[(4.0 / Pi), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := 2 \cdot \cos^{-1} \left({\left(0.5 + \frac{x}{-2}\right)}^{0.5}\right)\\
t_1 := t\_0 + \frac{\pi}{2}\\
\frac{{t\_0}^{2}}{t\_1} - \frac{\frac{\pi}{\frac{4}{\pi}}}{t\_1}
\end{array}
\end{array}
Derivation
  1. Initial program 6.4%

    \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. asin-acosN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} - \color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right)\right) \]
    2. sub-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)}\right)\right)\right) \]
    3. distribute-rgt-inN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\frac{\mathsf{PI}\left(\right)}{2} \cdot 2 + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2}\right)\right) \]
    4. div-invN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right) \cdot 2\right)\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    6. associate-*l*N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} \cdot 2\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    7. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot 1 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    8. *-rgt-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)}\right)\right) \]
    10. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right)\right) \]
    11. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right), \color{blue}{2}\right)\right)\right) \]
  4. Applied egg-rr8.1%

    \[\leadsto \frac{\pi}{2} - \color{blue}{\left(\pi + \left(0 - \cos^{-1} \left({\left(0.5 - \frac{x}{2}\right)}^{0.5}\right)\right) \cdot 2\right)} \]
  5. Step-by-step derivation
    1. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\left(\frac{\mathsf{PI}\left(\right)}{2}\right), \color{blue}{\left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)}\right) \]
    2. /-lowering-/.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI}\left(\right), 2\right), \left(\color{blue}{\mathsf{PI}\left(\right)} + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    3. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    4. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) + \color{blue}{\left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)} \cdot 2\right)\right) \]
    5. fma-defineN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \color{blue}{\mathsf{PI}\left(\right)}, \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right)\right) \]
    6. sub0-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \left(\mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)\right) \cdot 2\right)\right)\right) \]
    7. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)\right)\right)\right) \]
    8. fmm-undefN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2}\right)\right) \]
    9. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right) \]
    10. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)}\right)\right) \]
    11. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right)\right) \]
    12. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right), \color{blue}{2}\right)\right)\right) \]
  6. Applied egg-rr8.1%

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

    \[\leadsto \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \frac{-1}{2} \cdot x}\right)\right) - \mathsf{PI}\left(\right)} \]
  8. Step-by-step derivation
    1. sub-negN/A

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

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

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    4. cancel-sign-sub-invN/A

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    5. associate-+r+N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right)\right)} \]
    6. neg-mul-1N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + -1 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
    7. distribute-rgt-outN/A

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

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \frac{-1}{2} \]
    9. metadata-evalN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \]
    10. distribute-rgt-neg-inN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right)\right) \]
    11. *-commutativeN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right) \]
    12. +-lowering-+.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right)\right), \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
  9. Simplified8.1%

    \[\leadsto \color{blue}{2 \cdot \cos^{-1} \left(\sqrt{0.5 - 0.5 \cdot x}\right) + \pi \cdot -0.5} \]
  10. Applied egg-rr8.1%

    \[\leadsto \color{blue}{\frac{{\left(2 \cdot \cos^{-1} \left({\left(0.5 + \frac{x}{-2}\right)}^{0.5}\right)\right)}^{2}}{2 \cdot \cos^{-1} \left({\left(0.5 + \frac{x}{-2}\right)}^{0.5}\right) + \frac{\pi}{2}} - \frac{\frac{\pi}{\frac{4}{\pi}}}{2 \cdot \cos^{-1} \left({\left(0.5 + \frac{x}{-2}\right)}^{0.5}\right) + \frac{\pi}{2}}} \]
  11. Add Preprocessing

Alternative 2: 8.3% accurate, 1.0× speedup?

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

\\
2 \cdot \cos^{-1} \left(\sqrt{0.5 - 0.5 \cdot x}\right) + \pi \cdot -0.5
\end{array}
Derivation
  1. Initial program 6.4%

    \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. asin-acosN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} - \color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right)\right) \]
    2. sub-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)}\right)\right)\right) \]
    3. distribute-rgt-inN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\frac{\mathsf{PI}\left(\right)}{2} \cdot 2 + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2}\right)\right) \]
    4. div-invN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right) \cdot 2\right)\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    6. associate-*l*N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} \cdot 2\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    7. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot 1 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    8. *-rgt-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)}\right)\right) \]
    10. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right)\right) \]
    11. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right), \color{blue}{2}\right)\right)\right) \]
  4. Applied egg-rr8.1%

    \[\leadsto \frac{\pi}{2} - \color{blue}{\left(\pi + \left(0 - \cos^{-1} \left({\left(0.5 - \frac{x}{2}\right)}^{0.5}\right)\right) \cdot 2\right)} \]
  5. Step-by-step derivation
    1. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\left(\frac{\mathsf{PI}\left(\right)}{2}\right), \color{blue}{\left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)}\right) \]
    2. /-lowering-/.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI}\left(\right), 2\right), \left(\color{blue}{\mathsf{PI}\left(\right)} + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    3. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    4. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) + \color{blue}{\left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)} \cdot 2\right)\right) \]
    5. fma-defineN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \color{blue}{\mathsf{PI}\left(\right)}, \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right)\right) \]
    6. sub0-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \left(\mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)\right) \cdot 2\right)\right)\right) \]
    7. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)\right)\right)\right) \]
    8. fmm-undefN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2}\right)\right) \]
    9. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right) \]
    10. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)}\right)\right) \]
    11. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right)\right) \]
    12. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right), \color{blue}{2}\right)\right)\right) \]
  6. Applied egg-rr8.1%

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

    \[\leadsto \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \frac{-1}{2} \cdot x}\right)\right) - \mathsf{PI}\left(\right)} \]
  8. Step-by-step derivation
    1. sub-negN/A

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

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

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    4. cancel-sign-sub-invN/A

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    5. associate-+r+N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right)\right)} \]
    6. neg-mul-1N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + -1 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
    7. distribute-rgt-outN/A

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

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \frac{-1}{2} \]
    9. metadata-evalN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \]
    10. distribute-rgt-neg-inN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right)\right) \]
    11. *-commutativeN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right) \]
    12. +-lowering-+.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right)\right), \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
  9. Simplified8.1%

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

Alternative 3: 5.4% accurate, 1.0× speedup?

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

\\
\pi \cdot -0.5 + 2 \cdot \cos^{-1} \left(\sqrt{0.5}\right)
\end{array}
Derivation
  1. Initial program 6.4%

    \[\frac{\pi}{2} - 2 \cdot \sin^{-1} \left(\sqrt{\frac{1 - x}{2}}\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. asin-acosN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} - \color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right)\right) \]
    2. sub-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(2 \cdot \left(\frac{\mathsf{PI}\left(\right)}{2} + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)}\right)\right)\right) \]
    3. distribute-rgt-inN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\frac{\mathsf{PI}\left(\right)}{2} \cdot 2 + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2}\right)\right) \]
    4. div-invN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\color{blue}{\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)}\right)\right) \cdot 2\right)\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right) \cdot 2 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    6. associate-*l*N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} \cdot 2\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    7. metadata-evalN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) \cdot 1 + \left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)\right) \]
    8. *-rgt-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right) \cdot 2\right)}\right)\right) \]
    10. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right)} \cdot 2\right)\right)\right) \]
    11. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{+.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\left(\mathsf{neg}\left(\cos^{-1} \left(\sqrt{\frac{1 - x}{2}}\right)\right)\right), \color{blue}{2}\right)\right)\right) \]
  4. Applied egg-rr8.1%

    \[\leadsto \frac{\pi}{2} - \color{blue}{\left(\pi + \left(0 - \cos^{-1} \left({\left(0.5 - \frac{x}{2}\right)}^{0.5}\right)\right) \cdot 2\right)} \]
  5. Step-by-step derivation
    1. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\left(\frac{\mathsf{PI}\left(\right)}{2}\right), \color{blue}{\left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)}\right) \]
    2. /-lowering-/.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI}\left(\right), 2\right), \left(\color{blue}{\mathsf{PI}\left(\right)} + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    3. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) + \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right) \]
    4. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) + \color{blue}{\left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)} \cdot 2\right)\right) \]
    5. fma-defineN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \color{blue}{\mathsf{PI}\left(\right)}, \left(0 - \cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right) \cdot 2\right)\right)\right) \]
    6. sub0-negN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \left(\mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)\right)\right) \cdot 2\right)\right)\right) \]
    7. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{fma}\left(1, \mathsf{PI}\left(\right), \mathsf{neg}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)\right)\right)\right) \]
    8. fmm-undefN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(1 \cdot \mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2}\right)\right) \]
    9. *-un-lft-identityN/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \left(\mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right) \]
    10. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI}\left(\right), \color{blue}{\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right) \cdot 2\right)}\right)\right) \]
    11. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \left(\color{blue}{\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right)} \cdot 2\right)\right)\right) \]
    12. *-lowering-*.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), 2\right), \mathsf{\_.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(\cos^{-1} \left({\left(\frac{1}{2} - \frac{x}{2}\right)}^{\frac{1}{2}}\right), \color{blue}{2}\right)\right)\right) \]
  6. Applied egg-rr8.1%

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

    \[\leadsto \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \frac{-1}{2} \cdot x}\right)\right) - \mathsf{PI}\left(\right)} \]
  8. Step-by-step derivation
    1. sub-negN/A

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

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

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    4. cancel-sign-sub-invN/A

      \[\leadsto \left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right) \]
    5. associate-+r+N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)\right)\right)} \]
    6. neg-mul-1N/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + -1 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
    7. distribute-rgt-outN/A

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

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \frac{-1}{2} \]
    9. metadata-evalN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \mathsf{PI}\left(\right) \cdot \left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \]
    10. distribute-rgt-neg-inN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right)\right) \]
    11. *-commutativeN/A

      \[\leadsto 2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right) + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right) \]
    12. +-lowering-+.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\left(2 \cdot \cos^{-1} \left(\sqrt{\frac{1}{2} - \frac{1}{2} \cdot x}\right)\right), \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
  9. Simplified8.1%

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

    \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(2, \mathsf{acos.f64}\left(\color{blue}{\left(\sqrt{\frac{1}{2}}\right)}\right)\right), \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), \frac{-1}{2}\right)\right) \]
  11. Step-by-step derivation
    1. sqrt-lowering-sqrt.f645.5%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(2, \mathsf{acos.f64}\left(\mathsf{sqrt.f64}\left(\frac{1}{2}\right)\right)\right), \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), \frac{-1}{2}\right)\right) \]
  12. Simplified5.5%

    \[\leadsto 2 \cdot \cos^{-1} \color{blue}{\left(\sqrt{0.5}\right)} + \pi \cdot -0.5 \]
  13. Final simplification5.5%

    \[\leadsto \pi \cdot -0.5 + 2 \cdot \cos^{-1} \left(\sqrt{0.5}\right) \]
  14. Add Preprocessing

Developer Target 1: 100.0% accurate, 2.1× speedup?

\[\begin{array}{l} \\ \sin^{-1} x \end{array} \]
(FPCore (x) :precision binary64 (asin x))
double code(double x) {
	return asin(x);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = asin(x)
end function
public static double code(double x) {
	return Math.asin(x);
}
def code(x):
	return math.asin(x)
function code(x)
	return asin(x)
end
function tmp = code(x)
	tmp = asin(x);
end
code[x_] := N[ArcSin[x], $MachinePrecision]
\begin{array}{l}

\\
\sin^{-1} x
\end{array}

Reproduce

?
herbie shell --seed 2024160 
(FPCore (x)
  :name "Ian Simplification"
  :precision binary64

  :alt
  (! :herbie-platform default (asin x))

  (- (/ PI 2.0) (* 2.0 (asin (sqrt (/ (- 1.0 x) 2.0))))))