bug323 (missed optimization)

Percentage Accurate: 6.9% → 10.5%
Time: 9.0s
Alternatives: 8
Speedup: 0.9×

Specification

?
\[0 \leq x \land x \leq 0.5\]
\[\begin{array}{l} \\ \cos^{-1} \left(1 - x\right) \end{array} \]
(FPCore (x) :precision binary64 (acos (- 1.0 x)))
double code(double x) {
	return acos((1.0 - x));
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = acos((1.0d0 - x))
end function
public static double code(double x) {
	return Math.acos((1.0 - x));
}
def code(x):
	return math.acos((1.0 - x))
function code(x)
	return acos(Float64(1.0 - x))
end
function tmp = code(x)
	tmp = acos((1.0 - x));
end
code[x_] := N[ArcCos[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\cos^{-1} \left(1 - x\right)
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 8 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 6.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \cos^{-1} \left(1 - x\right) \end{array} \]
(FPCore (x) :precision binary64 (acos (- 1.0 x)))
double code(double x) {
	return acos((1.0 - x));
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = acos((1.0d0 - x))
end function
public static double code(double x) {
	return Math.acos((1.0 - x));
}
def code(x):
	return math.acos((1.0 - x))
function code(x)
	return acos(Float64(1.0 - x))
end
function tmp = code(x)
	tmp = acos((1.0 - x));
end
code[x_] := N[ArcCos[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\cos^{-1} \left(1 - x\right)
\end{array}

Alternative 1: 10.5% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ t_1 := t\_0 \cdot 0.5\\ \mathsf{fma}\left(\sqrt{t\_1} \cdot \sqrt{t\_0 \cdot 2}, t\_1, -\sin^{-1} \left(1 - x\right)\right) \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sqrt (PI))) (t_1 (* t_0 0.5)))
   (fma (* (sqrt t_1) (sqrt (* t_0 2.0))) t_1 (- (asin (- 1.0 x))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
t_1 := t\_0 \cdot 0.5\\
\mathsf{fma}\left(\sqrt{t\_1} \cdot \sqrt{t\_0 \cdot 2}, t\_1, -\sin^{-1} \left(1 - x\right)\right)
\end{array}
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Applied rewrites5.8%

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\mathsf{PI}\left(\right) \cdot \color{blue}{\left(\frac{1}{2} \cdot 2\right)}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    5. associate-*l*N/A

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

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\color{blue}{\left(\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right)} \cdot 2}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    12. associate-*l*N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}} \cdot \color{blue}{\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot 2}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    17. lower-*.f6411.0

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot 0.5} \cdot \sqrt{\color{blue}{\sqrt{\mathsf{PI}\left(\right)} \cdot 2}}, \sqrt{\mathsf{PI}\left(\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  5. Applied rewrites11.0%

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

Alternative 2: 9.5% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;x \leq 5.5 \cdot 10^{-17}:\\ \;\;\;\;\cos^{-1} \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t\_0, t\_0 \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right)\\ \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sqrt (PI))))
   (if (<= x 5.5e-17)
     (acos (- x))
     (fma t_0 (* t_0 0.5) (- (asin (- 1.0 x)))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
\mathbf{if}\;x \leq 5.5 \cdot 10^{-17}:\\
\;\;\;\;\cos^{-1} \left(-x\right)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if x < 5.50000000000000001e-17

    1. Initial program 3.9%

      \[\cos^{-1} \left(1 - x\right) \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \cos^{-1} \color{blue}{\left(-1 \cdot x\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \cos^{-1} \color{blue}{\left(\mathsf{neg}\left(x\right)\right)} \]
      2. lower-neg.f646.5

        \[\leadsto \cos^{-1} \color{blue}{\left(-x\right)} \]
    5. Applied rewrites6.5%

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

    if 5.50000000000000001e-17 < x

    1. Initial program 63.3%

      \[\cos^{-1} \left(1 - x\right) \]
    2. Add Preprocessing
    3. Applied rewrites63.5%

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

Alternative 3: 10.4% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ \mathsf{fma}\left(0.5 \cdot t\_0, -t\_0, \mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), \cos^{-1} \left(1 - x\right)\right)\right) \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sqrt (PI))))
   (fma (* 0.5 t_0) (- t_0) (fma 0.5 (PI) (acos (- 1.0 x))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
\mathsf{fma}\left(0.5 \cdot t\_0, -t\_0, \mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), \cos^{-1} \left(1 - x\right)\right)\right)
\end{array}
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Applied rewrites5.8%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{\mathsf{PI}\left(\right)}, \sqrt{\mathsf{PI}\left(\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right)} \]
  4. Step-by-step derivation
    1. rem-cbrt-cubeN/A

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \color{blue}{\sqrt{\mathsf{PI}\left(\right)}}\right)}^{3}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    5. unpow-prod-downN/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)}\right)}}^{3}} \cdot \sqrt[3]{{\left(\sqrt{\mathsf{PI}\left(\right)}\right)}^{3}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    10. sqrt-pow2N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)}\right)}}^{3}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    15. sqrt-pow2N/A

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{\color{blue}{{\mathsf{PI}\left(\right)}^{\left(\frac{3}{2}\right)}}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    17. metadata-eval10.9

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\color{blue}{1.5}}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  5. Applied rewrites10.9%

    \[\leadsto \mathsf{fma}\left(\sqrt{\color{blue}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}}}}, \sqrt{\mathsf{PI}\left(\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  6. Step-by-step derivation
    1. lift-sqrt.f64N/A

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, \color{blue}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    2. pow1/2N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, {\color{blue}{\left({\mathsf{PI}\left(\right)}^{1} \cdot {\mathsf{PI}\left(\right)}^{\frac{1}{2}}\right)}}^{\frac{1}{3}} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    7. unpow1N/A

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, {\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot {\mathsf{PI}\left(\right)}^{\frac{1}{2}}\right)}^{\frac{1}{3}} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    8. pow1/2N/A

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, {\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{\mathsf{PI}\left(\right)}}\right)}^{\frac{1}{3}} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    10. unpow-prod-downN/A

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, \color{blue}{\left({\mathsf{PI}\left(\right)}^{\frac{1}{3}} \cdot {\left(\sqrt{\mathsf{PI}\left(\right)}\right)}^{\frac{1}{3}}\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    11. pow1/3N/A

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, \left(\color{blue}{\sqrt[3]{\mathsf{PI}\left(\right)}} \cdot {\left(\sqrt{\mathsf{PI}\left(\right)}\right)}^{\frac{1}{3}}\right) \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    12. pow1/3N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{\frac{3}{2}}}}, \left(\color{blue}{\sqrt[3]{\mathsf{PI}\left(\right)}} \cdot \sqrt[3]{\sqrt{\mathsf{PI}\left(\right)}}\right) \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    17. lower-cbrt.f6411.0

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}}}, \left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \color{blue}{\sqrt[3]{\sqrt{\mathsf{PI}\left(\right)}}}\right) \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  7. Applied rewrites11.0%

    \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}} \cdot \sqrt[3]{{\mathsf{PI}\left(\right)}^{1.5}}}, \color{blue}{\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\sqrt{\mathsf{PI}\left(\right)}}\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  8. Applied rewrites10.9%

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

Alternative 4: 10.4% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ \mathsf{fma}\left(\mathsf{PI}\left(\right), 0.5, \mathsf{fma}\left(0.5 \cdot t\_0, -t\_0, \cos^{-1} \left(1 - x\right)\right)\right) \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sqrt (PI))))
   (fma (PI) 0.5 (fma (* 0.5 t_0) (- t_0) (acos (- 1.0 x))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.5, \mathsf{fma}\left(0.5 \cdot t\_0, -t\_0, \cos^{-1} \left(1 - x\right)\right)\right)
\end{array}
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Applied rewrites7.6%

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

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, \color{blue}{\mathsf{neg}\left(\sin^{-1} \left(1 - x\right)\right)}\right) \]
    2. neg-sub0N/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, \color{blue}{0 - \sin^{-1} \left(1 - x\right)}\right) \]
    3. lift-asin.f64N/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \color{blue}{\sin^{-1} \left(1 - x\right)}\right) \]
    4. asin-acosN/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{2} - \cos^{-1} \left(1 - x\right)\right)}\right) \]
    5. lift-PI.f64N/A

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

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \frac{1}{2}} - \cos^{-1} \left(1 - x\right)\right)\right) \]
    7. metadata-evalN/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\frac{1}{2}} - \cos^{-1} \left(1 - x\right)\right)\right) \]
    8. *-commutativeN/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \left(\color{blue}{\frac{1}{2} \cdot \mathsf{PI}\left(\right)} - \cos^{-1} \left(1 - x\right)\right)\right) \]
    9. lift-acos.f64N/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, 0 - \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) - \color{blue}{\cos^{-1} \left(1 - x\right)}\right)\right) \]
    10. associate--r-N/A

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, \color{blue}{\left(0 - \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) + \cos^{-1} \left(1 - x\right)}\right) \]
    11. neg-sub0N/A

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

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

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) + \cos^{-1} \left(1 - x\right)\right) \]
    14. rem-square-sqrtN/A

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{1}{2}, \color{blue}{\left(\frac{1}{2} \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \left(\mathsf{neg}\left(\sqrt{\mathsf{PI}\left(\right)}\right)\right)} + \cos^{-1} \left(1 - x\right)\right) \]
  5. Applied rewrites10.9%

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

Alternative 5: 10.4% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(\sqrt{2} \cdot 0.5\right) \cdot \mathsf{PI}\left(\right), \sqrt{0.5}, -\sin^{-1} \left(1 - x\right)\right) \end{array} \]
(FPCore (x)
 :precision binary64
 (fma (* (* (sqrt 2.0) 0.5) (PI)) (sqrt 0.5) (- (asin (- 1.0 x)))))
\begin{array}{l}

\\
\mathsf{fma}\left(\left(\sqrt{2} \cdot 0.5\right) \cdot \mathsf{PI}\left(\right), \sqrt{0.5}, -\sin^{-1} \left(1 - x\right)\right)
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Applied rewrites5.8%

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\mathsf{PI}\left(\right) \cdot \color{blue}{\left(\frac{1}{2} \cdot 2\right)}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    5. associate-*l*N/A

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

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\color{blue}{\left(\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right)} \cdot 2}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    12. associate-*l*N/A

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}} \cdot \color{blue}{\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot 2}}, \sqrt{\mathsf{PI}\left(\right)} \cdot \frac{1}{2}, -\sin^{-1} \left(1 - x\right)\right) \]
    17. lower-*.f6411.0

      \[\leadsto \mathsf{fma}\left(\sqrt{\sqrt{\mathsf{PI}\left(\right)} \cdot 0.5} \cdot \sqrt{\color{blue}{\sqrt{\mathsf{PI}\left(\right)} \cdot 2}}, \sqrt{\mathsf{PI}\left(\right)} \cdot 0.5, -\sin^{-1} \left(1 - x\right)\right) \]
  5. Applied rewrites11.0%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \mathsf{fma}\left(\left(\sqrt{2} \cdot \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right), \sqrt{\frac{1}{2}}, -\sin^{-1} \color{blue}{\left(1 - x\right)}\right) \]
    19. lower--.f6410.9

      \[\leadsto \mathsf{fma}\left(\left(\sqrt{2} \cdot 0.5\right) \cdot \mathsf{PI}\left(\right), \sqrt{0.5}, -\sin^{-1} \color{blue}{\left(1 - x\right)}\right) \]
  8. Applied rewrites10.9%

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

Alternative 6: 9.5% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 5.5 \cdot 10^{-17}:\\ \;\;\;\;\cos^{-1} \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;\cos^{-1} \left(1 - x\right)\\ \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (if (<= x 5.5e-17) (acos (- x)) (acos (- 1.0 x))))
double code(double x) {
	double tmp;
	if (x <= 5.5e-17) {
		tmp = acos(-x);
	} else {
		tmp = acos((1.0 - x));
	}
	return tmp;
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: tmp
    if (x <= 5.5d-17) then
        tmp = acos(-x)
    else
        tmp = acos((1.0d0 - x))
    end if
    code = tmp
end function
public static double code(double x) {
	double tmp;
	if (x <= 5.5e-17) {
		tmp = Math.acos(-x);
	} else {
		tmp = Math.acos((1.0 - x));
	}
	return tmp;
}
def code(x):
	tmp = 0
	if x <= 5.5e-17:
		tmp = math.acos(-x)
	else:
		tmp = math.acos((1.0 - x))
	return tmp
function code(x)
	tmp = 0.0
	if (x <= 5.5e-17)
		tmp = acos(Float64(-x));
	else
		tmp = acos(Float64(1.0 - x));
	end
	return tmp
end
function tmp_2 = code(x)
	tmp = 0.0;
	if (x <= 5.5e-17)
		tmp = acos(-x);
	else
		tmp = acos((1.0 - x));
	end
	tmp_2 = tmp;
end
code[x_] := If[LessEqual[x, 5.5e-17], N[ArcCos[(-x)], $MachinePrecision], N[ArcCos[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.5 \cdot 10^{-17}:\\
\;\;\;\;\cos^{-1} \left(-x\right)\\

\mathbf{else}:\\
\;\;\;\;\cos^{-1} \left(1 - x\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if x < 5.50000000000000001e-17

    1. Initial program 3.9%

      \[\cos^{-1} \left(1 - x\right) \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \cos^{-1} \color{blue}{\left(-1 \cdot x\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \cos^{-1} \color{blue}{\left(\mathsf{neg}\left(x\right)\right)} \]
      2. lower-neg.f646.5

        \[\leadsto \cos^{-1} \color{blue}{\left(-x\right)} \]
    5. Applied rewrites6.5%

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

    if 5.50000000000000001e-17 < x

    1. Initial program 63.3%

      \[\cos^{-1} \left(1 - x\right) \]
    2. Add Preprocessing
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 7: 6.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \cos^{-1} \left(-x\right) \end{array} \]
(FPCore (x) :precision binary64 (acos (- x)))
double code(double x) {
	return acos(-x);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = acos(-x)
end function
public static double code(double x) {
	return Math.acos(-x);
}
def code(x):
	return math.acos(-x)
function code(x)
	return acos(Float64(-x))
end
function tmp = code(x)
	tmp = acos(-x);
end
code[x_] := N[ArcCos[(-x)], $MachinePrecision]
\begin{array}{l}

\\
\cos^{-1} \left(-x\right)
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Taylor expanded in x around inf

    \[\leadsto \cos^{-1} \color{blue}{\left(-1 \cdot x\right)} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\mathsf{neg}\left(x\right)\right)} \]
    2. lower-neg.f646.9

      \[\leadsto \cos^{-1} \color{blue}{\left(-x\right)} \]
  5. Applied rewrites6.9%

    \[\leadsto \cos^{-1} \color{blue}{\left(-x\right)} \]
  6. Add Preprocessing

Alternative 8: 3.8% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \cos^{-1} 1 \end{array} \]
(FPCore (x) :precision binary64 (acos 1.0))
double code(double x) {
	return acos(1.0);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = acos(1.0d0)
end function
public static double code(double x) {
	return Math.acos(1.0);
}
def code(x):
	return math.acos(1.0)
function code(x)
	return acos(1.0)
end
function tmp = code(x)
	tmp = acos(1.0);
end
code[x_] := N[ArcCos[1.0], $MachinePrecision]
\begin{array}{l}

\\
\cos^{-1} 1
\end{array}
Derivation
  1. Initial program 7.6%

    \[\cos^{-1} \left(1 - x\right) \]
  2. Add Preprocessing
  3. Taylor expanded in x around 0

    \[\leadsto \cos^{-1} \color{blue}{1} \]
  4. Step-by-step derivation
    1. Applied rewrites3.8%

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

    Developer Target 1: 100.0% accurate, 0.8× speedup?

    \[\begin{array}{l} \\ 2 \cdot \sin^{-1} \left(\sqrt{\frac{x}{2}}\right) \end{array} \]
    (FPCore (x) :precision binary64 (* 2.0 (asin (sqrt (/ x 2.0)))))
    double code(double x) {
    	return 2.0 * asin(sqrt((x / 2.0)));
    }
    
    real(8) function code(x)
        real(8), intent (in) :: x
        code = 2.0d0 * asin(sqrt((x / 2.0d0)))
    end function
    
    public static double code(double x) {
    	return 2.0 * Math.asin(Math.sqrt((x / 2.0)));
    }
    
    def code(x):
    	return 2.0 * math.asin(math.sqrt((x / 2.0)))
    
    function code(x)
    	return Float64(2.0 * asin(sqrt(Float64(x / 2.0))))
    end
    
    function tmp = code(x)
    	tmp = 2.0 * asin(sqrt((x / 2.0)));
    end
    
    code[x_] := N[(2.0 * N[ArcSin[N[Sqrt[N[(x / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    2 \cdot \sin^{-1} \left(\sqrt{\frac{x}{2}}\right)
    \end{array}
    

    Reproduce

    ?
    herbie shell --seed 2024296 
    (FPCore (x)
      :name "bug323 (missed optimization)"
      :precision binary64
      :pre (and (<= 0.0 x) (<= x 0.5))
    
      :alt
      (! :herbie-platform default (* 2 (asin (sqrt (/ x 2)))))
    
      (acos (- 1.0 x)))