?

Average Accuracy: 6.9% → 10.5%
Time: 12.4s
Precision: binary64
Cost: 97664

?

\[0 \leq x \land x \leq 0.5\]
\[\cos^{-1} \left(1 - x\right) \]
\[\begin{array}{l} t_0 := \sin^{-1} \left(1 - x\right)\\ t_1 := \mathsf{fma}\left(\pi, 0.5, t_0\right)\\ \mathsf{fma}\left(\frac{\pi}{\sqrt{t_1}}, 0.25 \cdot \left(\pi \cdot \sqrt{\frac{1}{t_0 + \pi \cdot 0.5}}\right), \frac{-{t_0}^{2}}{t_1}\right) \end{array} \]
(FPCore (x) :precision binary64 (acos (- 1.0 x)))
(FPCore (x)
 :precision binary64
 (let* ((t_0 (asin (- 1.0 x))) (t_1 (fma PI 0.5 t_0)))
   (fma
    (/ PI (sqrt t_1))
    (* 0.25 (* PI (sqrt (/ 1.0 (+ t_0 (* PI 0.5))))))
    (/ (- (pow t_0 2.0)) t_1))))
double code(double x) {
	return acos((1.0 - x));
}
double code(double x) {
	double t_0 = asin((1.0 - x));
	double t_1 = fma(((double) M_PI), 0.5, t_0);
	return fma((((double) M_PI) / sqrt(t_1)), (0.25 * (((double) M_PI) * sqrt((1.0 / (t_0 + (((double) M_PI) * 0.5)))))), (-pow(t_0, 2.0) / t_1));
}
function code(x)
	return acos(Float64(1.0 - x))
end
function code(x)
	t_0 = asin(Float64(1.0 - x))
	t_1 = fma(pi, 0.5, t_0)
	return fma(Float64(pi / sqrt(t_1)), Float64(0.25 * Float64(pi * sqrt(Float64(1.0 / Float64(t_0 + Float64(pi * 0.5)))))), Float64(Float64(-(t_0 ^ 2.0)) / t_1))
end
code[x_] := N[ArcCos[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]
code[x_] := Block[{t$95$0 = N[ArcSin[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(Pi * 0.5 + t$95$0), $MachinePrecision]}, N[(N[(Pi / N[Sqrt[t$95$1], $MachinePrecision]), $MachinePrecision] * N[(0.25 * N[(Pi * N[Sqrt[N[(1.0 / N[(t$95$0 + N[(Pi * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[((-N[Power[t$95$0, 2.0], $MachinePrecision]) / t$95$1), $MachinePrecision]), $MachinePrecision]]]
\cos^{-1} \left(1 - x\right)
\begin{array}{l}
t_0 := \sin^{-1} \left(1 - x\right)\\
t_1 := \mathsf{fma}\left(\pi, 0.5, t_0\right)\\
\mathsf{fma}\left(\frac{\pi}{\sqrt{t_1}}, 0.25 \cdot \left(\pi \cdot \sqrt{\frac{1}{t_0 + \pi \cdot 0.5}}\right), \frac{-{t_0}^{2}}{t_1}\right)
\end{array}

Error?

Target

Original6.9%
Target100.0%
Herbie10.5%
\[2 \cdot \sin^{-1} \left(\sqrt{\frac{x}{2}}\right) \]

Derivation?

  1. Initial program 6.5%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Applied egg-rr6.5%

    \[\leadsto \color{blue}{\frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot 0.5\right) - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}} \]
    Proof

    [Start]6.5

    \[ \cos^{-1} \left(1 - x\right) \]

    acos-asin [=>]6.5

    \[ \color{blue}{\frac{\pi}{2} - \sin^{-1} \left(1 - x\right)} \]

    flip-- [=>]6.5

    \[ \color{blue}{\frac{\frac{\pi}{2} \cdot \frac{\pi}{2} - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\frac{\pi}{2} + \sin^{-1} \left(1 - x\right)}} \]

    div-inv [=>]6.5

    \[ \frac{\color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \frac{\pi}{2} - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\frac{\pi}{2} + \sin^{-1} \left(1 - x\right)} \]

    metadata-eval [=>]6.5

    \[ \frac{\left(\pi \cdot \color{blue}{0.5}\right) \cdot \frac{\pi}{2} - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\frac{\pi}{2} + \sin^{-1} \left(1 - x\right)} \]

    div-inv [=>]6.5

    \[ \frac{\left(\pi \cdot 0.5\right) \cdot \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\frac{\pi}{2} + \sin^{-1} \left(1 - x\right)} \]

    metadata-eval [=>]6.5

    \[ \frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot \color{blue}{0.5}\right) - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\frac{\pi}{2} + \sin^{-1} \left(1 - x\right)} \]

    div-inv [=>]6.5

    \[ \frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot 0.5\right) - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\color{blue}{\pi \cdot \frac{1}{2}} + \sin^{-1} \left(1 - x\right)} \]

    metadata-eval [=>]6.5

    \[ \frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot 0.5\right) - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot \color{blue}{0.5} + \sin^{-1} \left(1 - x\right)} \]
  3. Applied egg-rr10.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \frac{0.25 \cdot \pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, -\frac{{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right)} \]
    Proof

    [Start]6.5

    \[ \frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot 0.5\right) - \sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} \]

    div-sub [=>]6.5

    \[ \color{blue}{\frac{\left(\pi \cdot 0.5\right) \cdot \left(\pi \cdot 0.5\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} - \frac{\sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}} \]

    associate-*l* [=>]6.5

    \[ \frac{\color{blue}{\pi \cdot \left(0.5 \cdot \left(\pi \cdot 0.5\right)\right)}}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} - \frac{\sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} \]

    add-sqr-sqrt [=>]10.2

    \[ \frac{\pi \cdot \left(0.5 \cdot \left(\pi \cdot 0.5\right)\right)}{\color{blue}{\sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} \cdot \sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}}} - \frac{\sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} \]

    times-frac [=>]10.2

    \[ \color{blue}{\frac{\pi}{\sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}} \cdot \frac{0.5 \cdot \left(\pi \cdot 0.5\right)}{\sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}}} - \frac{\sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)} \]

    fma-neg [=>]10.2

    \[ \color{blue}{\mathsf{fma}\left(\frac{\pi}{\sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}}, \frac{0.5 \cdot \left(\pi \cdot 0.5\right)}{\sqrt{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}}, -\frac{\sin^{-1} \left(1 - x\right) \cdot \sin^{-1} \left(1 - x\right)}{\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)}\right)} \]
  4. Simplified10.3%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \frac{0.25}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}} \cdot \pi, \frac{-{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right)} \]
    Proof

    [Start]10.2

    \[ \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \frac{0.25 \cdot \pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, -\frac{{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right) \]

    associate-/l* [=>]10.2

    \[ \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \color{blue}{\frac{0.25}{\frac{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}{\pi}}}, -\frac{{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right) \]

    associate-/r/ [=>]10.3

    \[ \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \color{blue}{\frac{0.25}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}} \cdot \pi}, -\frac{{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right) \]

    distribute-neg-frac [=>]10.3

    \[ \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \frac{0.25}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}} \cdot \pi, \color{blue}{\frac{-{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}\right) \]
  5. Taylor expanded in x around 0 10.3%

    \[\leadsto \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, \color{blue}{0.25 \cdot \left(\sqrt{\frac{1}{\sin^{-1} \left(1 - x\right) + 0.5 \cdot \pi}} \cdot \pi\right)}, \frac{-{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right) \]
  6. Final simplification10.3%

    \[\leadsto \mathsf{fma}\left(\frac{\pi}{\sqrt{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}}, 0.25 \cdot \left(\pi \cdot \sqrt{\frac{1}{\sin^{-1} \left(1 - x\right) + \pi \cdot 0.5}}\right), \frac{-{\sin^{-1} \left(1 - x\right)}^{2}}{\mathsf{fma}\left(\pi, 0.5, \sin^{-1} \left(1 - x\right)\right)}\right) \]

Alternatives

Alternative 1
Accuracy10.5%
Cost45888
\[\begin{array}{l} t_0 := \sin^{-1} \left(1 - x\right)\\ \frac{\mathsf{fma}\left(-t_0, t_0, 0.25 \cdot {\pi}^{2}\right)}{t_0 + \pi \cdot 0.5} \end{array} \]
Alternative 2
Accuracy10.4%
Cost32512
\[\pi \cdot 0.5 - {\left({\left(\sqrt[3]{\sin^{-1} \left(1 - x\right)}\right)}^{0.16666666666666666}\right)}^{18} \]
Alternative 3
Accuracy10.4%
Cost26048
\[\pi \cdot 0.5 - {\left(\sqrt{\sin^{-1} \left(1 - x\right)}\right)}^{2} \]
Alternative 4
Accuracy10.4%
Cost19712
\[-2 + {\left(\sqrt[3]{2 + \cos^{-1} \left(1 - x\right)}\right)}^{3} \]
Alternative 5
Accuracy10.4%
Cost19712
\[{\left(\sqrt{2 + \cos^{-1} \left(1 - x\right)}\right)}^{2} + -2 \]
Alternative 6
Accuracy6.9%
Cost19456
\[{\left(\sqrt[3]{\cos^{-1} \left(1 - x\right)}\right)}^{3} \]
Alternative 7
Accuracy6.9%
Cost13184
\[\pi \cdot 0.5 - \sin^{-1} \left(1 - x\right) \]
Alternative 8
Accuracy6.9%
Cost6848
\[3 \cdot \left(\cos^{-1} \left(1 - x\right) \cdot 0.3333333333333333\right) \]
Alternative 9
Accuracy6.9%
Cost6592
\[\cos^{-1} \left(1 - x\right) \]

Error

Reproduce?

herbie shell --seed 2023157 
(FPCore (x)
  :name "bug323 (missed optimization)"
  :precision binary64
  :pre (and (<= 0.0 x) (<= x 0.5))

  :herbie-target
  (* 2.0 (asin (sqrt (/ x 2.0))))

  (acos (- 1.0 x)))