?

Average Accuracy: 7.1% → 10.7%
Time: 8.6s
Precision: binary64
Cost: 39040

?

\[0 \leq x \land x \leq 0.5\]
\[\cos^{-1} \left(1 - x\right) \]
\[\mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, {\left(\pi \cdot 0.5\right)}^{0.75}, -\sin^{-1} \left(1 - x\right)\right) \]
(FPCore (x) :precision binary64 (acos (- 1.0 x)))
(FPCore (x)
 :precision binary64
 (fma (pow (* PI 0.5) 0.25) (pow (* PI 0.5) 0.75) (- (asin (- 1.0 x)))))
double code(double x) {
	return acos((1.0 - x));
}
double code(double x) {
	return fma(pow((((double) M_PI) * 0.5), 0.25), pow((((double) M_PI) * 0.5), 0.75), -asin((1.0 - x)));
}
function code(x)
	return acos(Float64(1.0 - x))
end
function code(x)
	return fma((Float64(pi * 0.5) ^ 0.25), (Float64(pi * 0.5) ^ 0.75), Float64(-asin(Float64(1.0 - x))))
end
code[x_] := N[ArcCos[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]
code[x_] := N[(N[Power[N[(Pi * 0.5), $MachinePrecision], 0.25], $MachinePrecision] * N[Power[N[(Pi * 0.5), $MachinePrecision], 0.75], $MachinePrecision] + (-N[ArcSin[N[(1.0 - x), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]
\cos^{-1} \left(1 - x\right)
\mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, {\left(\pi \cdot 0.5\right)}^{0.75}, -\sin^{-1} \left(1 - x\right)\right)

Error?

Target

Original7.1%
Target100.0%
Herbie10.7%
\[2 \cdot \sin^{-1} \left(\sqrt{\frac{x}{2}}\right) \]

Derivation?

  1. Initial program 7.1%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Applied egg-rr7.1%

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

    [Start]7.1

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

    acos-asin [=>]7.1

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

    sub-neg [=>]7.1

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

    div-inv [=>]7.1

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

    metadata-eval [=>]7.1

    \[ \pi \cdot \color{blue}{0.5} + \left(-\sin^{-1} \left(1 - x\right)\right) \]
  3. Simplified7.1%

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

    [Start]7.1

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

    sub-neg [<=]7.1

    \[ \color{blue}{\pi \cdot 0.5 - \sin^{-1} \left(1 - x\right)} \]
  4. Applied egg-rr10.6%

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

    [Start]7.1

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

    asin-acos [=>]7.1

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

    div-inv [=>]7.1

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

    metadata-eval [=>]7.1

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

    sub-neg [=>]7.1

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

    add-sqr-sqrt [=>]10.6

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

    fma-def [=>]10.6

    \[ \pi \cdot 0.5 - \color{blue}{\mathsf{fma}\left(\sqrt{\pi \cdot 0.5}, \sqrt{\pi \cdot 0.5}, -\cos^{-1} \left(1 - x\right)\right)} \]
  5. Applied egg-rr10.7%

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

    [Start]10.6

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

    add-sqr-sqrt [=>]7.1

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

    add-sqr-sqrt [=>]10.6

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

    associate-*l* [=>]10.6

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

    fma-neg [=>]10.6

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

    pow1/2 [=>]10.6

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

    sqrt-pow1 [=>]10.6

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

    metadata-eval [=>]10.6

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

    pow1/2 [=>]10.6

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

    sqrt-pow1 [=>]10.6

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

    metadata-eval [=>]10.6

    \[ \mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, {\left(\pi \cdot 0.5\right)}^{\color{blue}{0.25}} \cdot \sqrt{\pi \cdot 0.5}, -\mathsf{fma}\left(\sqrt{\pi \cdot 0.5}, \sqrt{\pi \cdot 0.5}, -\cos^{-1} \left(1 - x\right)\right)\right) \]
  6. Applied egg-rr10.7%

    \[\leadsto \mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, \color{blue}{{\left(\pi \cdot 0.5\right)}^{0.75}}, -\sin^{-1} \left(1 - x\right)\right) \]
    Proof

    [Start]10.7

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

    pow1/2 [=>]10.7

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

    pow-prod-up [=>]10.7

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

    metadata-eval [=>]10.7

    \[ \mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, {\left(\pi \cdot 0.5\right)}^{\color{blue}{0.75}}, -\sin^{-1} \left(1 - x\right)\right) \]
  7. Final simplification10.7%

    \[\leadsto \mathsf{fma}\left({\left(\pi \cdot 0.5\right)}^{0.25}, {\left(\pi \cdot 0.5\right)}^{0.75}, -\sin^{-1} \left(1 - x\right)\right) \]

Alternatives

Alternative 1
Accuracy9.7%
Cost26372
\[\begin{array}{l} t_0 := \cos^{-1} \left(1 - x\right)\\ \mathbf{if}\;t_0 \leq 0:\\ \;\;\;\;1 + \sqrt{{\left(t_0 + -1\right)}^{2}}\\ \mathbf{else}:\\ \;\;\;\;\log \left(e^{-1 + \left(1 + t_0\right)}\right)\\ \end{array} \]
Alternative 2
Accuracy9.7%
Cost26372
\[\begin{array}{l} t_0 := \cos^{-1} \left(1 - x\right)\\ t_1 := t_0 + -1\\ \mathbf{if}\;t_0 \leq 0:\\ \;\;\;\;1 + \sqrt{{t_1}^{2}}\\ \mathbf{else}:\\ \;\;\;\;1 + {\left(\sqrt[3]{t_1}\right)}^{3}\\ \end{array} \]
Alternative 3
Accuracy9.7%
Cost26308
\[\begin{array}{l} t_0 := \cos^{-1} \left(1 - x\right)\\ \mathbf{if}\;t_0 \leq 0:\\ \;\;\;\;\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(e^{-1 + \left(1 + t_0\right)}\right)\\ \end{array} \]
Alternative 4
Accuracy9.7%
Cost26180
\[\begin{array}{l} t_0 := \cos^{-1} \left(1 - x\right)\\ \mathbf{if}\;t_0 \leq 0:\\ \;\;\;\;\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)\\ \mathbf{else}:\\ \;\;\;\;{\left({t_0}^{0.3333333333333333}\right)}^{3}\\ \end{array} \]
Alternative 5
Accuracy10.6%
Cost26048
\[\pi \cdot 0.5 - {\left(\sqrt[3]{\sin^{-1} \left(1 - x\right)}\right)}^{3} \]
Alternative 6
Accuracy10.6%
Cost26048
\[\pi \cdot 0.5 - {\left(\sqrt{\sin^{-1} \left(1 - x\right)}\right)}^{2} \]
Alternative 7
Accuracy9.7%
Cost19844
\[\begin{array}{l} t_0 := \cos^{-1} \left(1 - x\right)\\ \mathbf{if}\;t_0 \leq 0:\\ \;\;\;\;\pi \cdot 0.5 + \sin^{-1} \left(1 - x\right)\\ \mathbf{else}:\\ \;\;\;\;-1 + \left(1 + t_0\right)\\ \end{array} \]
Alternative 8
Accuracy7.1%
Cost6848
\[1 + \left(\cos^{-1} \left(1 - x\right) + -1\right) \]
Alternative 9
Accuracy7.1%
Cost6848
\[-1 + \left(1 + \cos^{-1} \left(1 - x\right)\right) \]
Alternative 10
Accuracy7.1%
Cost6592
\[\cos^{-1} \left(1 - x\right) \]

Error

Reproduce?

herbie shell --seed 2023147 
(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)))