normal distribution

Percentage Accurate: 99.4% → 99.5%
Time: 10.8s
Alternatives: 9
Speedup: 1.4×

Specification

?
\[\left(0 \leq u1 \land u1 \leq 1\right) \land \left(0 \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 (PI)) u2)))
  0.5))
\begin{array}{l}

\\
\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5
\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 9 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: 99.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 (PI)) u2)))
  0.5))
\begin{array}{l}

\\
\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5
\end{array}

Alternative 1: 99.5% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \cos \left(u2 \cdot \left(\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right)\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (*
   (cos (* u2 (* (cbrt (* (* (PI) (PI)) (PI))) 2.0)))
   (* (* (sqrt (- (log u1))) (sqrt 2.0)) (/ 1.0 6.0)))
  0.5))
\begin{array}{l}

\\
\cos \left(u2 \cdot \left(\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right)\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Taylor expanded in u1 around inf

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{\log \left(\frac{1}{u1}\right)} \cdot \sqrt{2}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\color{blue}{\sqrt{2}} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \color{blue}{\sqrt{\log \left(\frac{1}{u1}\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. log-recN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{\mathsf{neg}\left(\log u1\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. lower-neg.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{-\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-log.f6499.5

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\color{blue}{\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Applied rewrites99.5%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{-\log u1}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  6. Step-by-step derivation
    1. lift-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) + \frac{1}{2} \]
    2. add-cbrt-cubeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}\right) \cdot u2\right) + \frac{1}{2} \]
    3. lower-cbrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}\right) \cdot u2\right) + \frac{1}{2} \]
    4. rem-cube-cbrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{{\left(\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right)}^{3}}}\right) \cdot u2\right) + \frac{1}{2} \]
    5. add-cbrt-cubeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{{\color{blue}{\mathsf{PI}\left(\right)}}^{3}}\right) \cdot u2\right) + \frac{1}{2} \]
    6. lift-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{{\color{blue}{\mathsf{PI}\left(\right)}}^{3}}\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-pow.f6499.5

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{{\mathsf{PI}\left(\right)}^{3}}}\right) \cdot u2\right) + 0.5 \]
  7. Applied rewrites99.5%

    \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}}\right) \cdot u2\right) + 0.5 \]
  8. Step-by-step derivation
    1. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{{\mathsf{PI}\left(\right)}^{3}}}\right) \cdot u2\right) + \frac{1}{2} \]
    2. unpow3N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}\right) \cdot u2\right) + \frac{1}{2} \]
    3. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-*.f6499.5

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \mathsf{PI}\left(\right)}\right) \cdot u2\right) + 0.5 \]
  9. Applied rewrites99.5%

    \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \sqrt[3]{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}\right) \cdot u2\right) + 0.5 \]
  10. Final simplification99.5%

    \[\leadsto \cos \left(u2 \cdot \left(\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right)\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5 \]
  11. Add Preprocessing

Alternative 2: 99.5% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right) \cdot \left(0.16666666666666666 \cdot \left(\sqrt{-\log u1} \cdot \sqrt{2}\right)\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (*
   (cos (* (* (PI) 2.0) u2))
   (* 0.16666666666666666 (* (sqrt (- (log u1))) (sqrt 2.0))))
  0.5))
\begin{array}{l}

\\
\cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right) \cdot \left(0.16666666666666666 \cdot \left(\sqrt{-\log u1} \cdot \sqrt{2}\right)\right) + 0.5
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Taylor expanded in u1 around inf

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{\log \left(\frac{1}{u1}\right)} \cdot \sqrt{2}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\color{blue}{\sqrt{2}} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \color{blue}{\sqrt{\log \left(\frac{1}{u1}\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. log-recN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{\mathsf{neg}\left(\log u1\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. lower-neg.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{-\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-log.f6499.5

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\color{blue}{\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Applied rewrites99.5%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{-\log u1}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  6. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \left(\color{blue}{\frac{1}{6}} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. metadata-eval99.5

      \[\leadsto \left(\color{blue}{0.16666666666666666} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  7. Applied rewrites99.5%

    \[\leadsto \left(\color{blue}{0.16666666666666666} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  8. Final simplification99.5%

    \[\leadsto \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right) \cdot \left(0.16666666666666666 \cdot \left(\sqrt{-\log u1} \cdot \sqrt{2}\right)\right) + 0.5 \]
  9. Add Preprocessing

Alternative 3: 99.5% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), \sqrt{2}, 0.5\right) \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (fma
  (* (* 0.16666666666666666 (sqrt (- (log u1)))) (cos (* (* (PI) 2.0) u2)))
  (sqrt 2.0)
  0.5))
\begin{array}{l}

\\
\mathsf{fma}\left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), \sqrt{2}, 0.5\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. sqr-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. pow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\frac{1}{4}}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    8. lift-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(-2 \cdot \log u1\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    10. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    11. metadata-eval99.0

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\color{blue}{0.25}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  4. Applied rewrites99.0%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \left(\color{blue}{\frac{1}{6}} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. metadata-eval99.0

      \[\leadsto \left(\color{blue}{0.16666666666666666} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  6. Applied rewrites99.0%

    \[\leadsto \left(\color{blue}{0.16666666666666666} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  7. Step-by-step derivation
    1. metadata-evalN/A

      \[\leadsto \left(\color{blue}{\frac{1}{6}} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. lift-+.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2}} \]
    3. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)} + \frac{1}{2} \]
    4. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. pow-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(\log u1 \cdot -2\right)}^{\left(\frac{1}{4} \cdot 2\right)}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    8. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left(\log u1 \cdot -2\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    9. pow1/2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\sqrt{\log u1 \cdot -2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    10. lift-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\sqrt{\log u1 \cdot -2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    11. *-commutativeN/A

      \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot \frac{1}{6}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    12. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot \frac{1}{6}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
  8. Applied rewrites99.4%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), 0.5\right)} \]
  9. Step-by-step derivation
    1. metadata-evalN/A

      \[\leadsto \mathsf{fma}\left(\sqrt{\log u1 \cdot -2} \cdot \color{blue}{\frac{1}{6}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    2. lift-fma.f64N/A

      \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot \frac{1}{6}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2}} \]
  10. Applied rewrites99.5%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot \left(0.16666666666666666 \cdot \sqrt{-\log u1}\right), \sqrt{2}, 0.5\right)} \]
  11. Final simplification99.5%

    \[\leadsto \mathsf{fma}\left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), \sqrt{2}, 0.5\right) \]
  12. Add Preprocessing

Alternative 4: 99.4% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666, \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), 0.5\right) \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (fma
  (* (sqrt (* (log u1) -2.0)) 0.16666666666666666)
  (cos (* (* (PI) 2.0) u2))
  0.5))
\begin{array}{l}

\\
\mathsf{fma}\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666, \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), 0.5\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-+.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2}} \]
    2. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)} + \frac{1}{2} \]
    3. lower-fma.f6499.4

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), 0.5\right)} \]
    4. lift-/.f64N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{6}} \cdot {\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    5. metadata-eval99.4

      \[\leadsto \mathsf{fma}\left(\color{blue}{0.16666666666666666} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), 0.5\right) \]
    6. lift-pow.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \color{blue}{{\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    7. unpow1/2N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \color{blue}{\sqrt{-2 \cdot \log u1}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    8. lower-sqrt.f6499.4

      \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \color{blue}{\sqrt{-2 \cdot \log u1}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), 0.5\right) \]
    9. lift-*.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\color{blue}{-2 \cdot \log u1}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    10. *-commutativeN/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\color{blue}{\log u1 \cdot -2}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), \frac{1}{2}\right) \]
    11. lower-*.f6499.4

      \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{\color{blue}{\log u1 \cdot -2}}, \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right), 0.5\right) \]
    12. lift-*.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\log u1 \cdot -2}, \cos \color{blue}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)}, \frac{1}{2}\right) \]
    13. *-commutativeN/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\log u1 \cdot -2}, \cos \color{blue}{\left(u2 \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}, \frac{1}{2}\right) \]
    14. lower-*.f6499.4

      \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}, \cos \color{blue}{\left(u2 \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}, 0.5\right) \]
    15. lift-*.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\log u1 \cdot -2}, \cos \left(u2 \cdot \color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)}\right), \frac{1}{2}\right) \]
    16. *-commutativeN/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{\log u1 \cdot -2}, \cos \left(u2 \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)}\right), \frac{1}{2}\right) \]
    17. lower-*.f6499.4

      \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}, \cos \left(u2 \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)}\right), 0.5\right) \]
  4. Applied rewrites99.4%

    \[\leadsto \color{blue}{\mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{\log u1 \cdot -2}, \cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right), 0.5\right)} \]
  5. Final simplification99.4%

    \[\leadsto \mathsf{fma}\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666, \cos \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot u2\right), 0.5\right) \]
  6. Add Preprocessing

Alternative 5: 98.7% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (*
   (fma (* (* (PI) (PI)) -2.0) (* u2 u2) 1.0)
   (* (* (sqrt (- (log u1))) (sqrt 2.0)) (/ 1.0 6.0)))
  0.5))
\begin{array}{l}

\\
\mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Taylor expanded in u1 around inf

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{\log \left(\frac{1}{u1}\right)} \cdot \sqrt{2}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\color{blue}{\sqrt{2}} \cdot \sqrt{\log \left(\frac{1}{u1}\right)}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \color{blue}{\sqrt{\log \left(\frac{1}{u1}\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. log-recN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{\mathsf{neg}\left(\log u1\right)}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. lower-neg.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{\color{blue}{-\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-log.f6499.5

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\color{blue}{\log u1}}\right)\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Applied rewrites99.5%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{2} \cdot \sqrt{-\log u1}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  6. Taylor expanded in u2 around 0

    \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \color{blue}{\left(1 + -2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} + \frac{1}{2} \]
  7. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \color{blue}{\left(-2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + 1\right)} + \frac{1}{2} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left(\color{blue}{\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot -2} + 1\right) + \frac{1}{2} \]
    3. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)} + 1\right) + \frac{1}{2} \]
    4. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}} + 1\right) + \frac{1}{2} \]
    5. associate-*r*N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left(\color{blue}{{u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    6. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}\right) + 1\right) + \frac{1}{2} \]
    7. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{-2}\right) + 1\right) + \frac{1}{2} \]
    8. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left({u2}^{2} \cdot \color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \left(\color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {u2}^{2}} + 1\right) + \frac{1}{2} \]
    10. lower-fma.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}, {u2}^{2}, 1\right)} + \frac{1}{2} \]
    11. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot -2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    12. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    13. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    14. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    15. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    16. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    17. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    18. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    19. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    20. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{-2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    21. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + \frac{1}{2} \]
    22. lower-*.f6498.8

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + 0.5 \]
  8. Applied rewrites98.8%

    \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{2} \cdot \sqrt{-\log u1}\right)\right) \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right)} + 0.5 \]
  9. Final simplification98.8%

    \[\leadsto \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) \cdot \left(\left(\sqrt{-\log u1} \cdot \sqrt{2}\right) \cdot \frac{1}{6}\right) + 0.5 \]
  10. Add Preprocessing

Alternative 6: 98.7% accurate, 2.1× speedup?

\[\begin{array}{l} \\ \left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (*
   (* (* 0.16666666666666666 (sqrt (- (log u1)))) (sqrt 2.0))
   (fma (* (* (PI) (PI)) -2.0) (* u2 u2) 1.0))
  0.5))
\begin{array}{l}

\\
\left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. sqr-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. pow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\frac{1}{4}}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    8. lift-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(-2 \cdot \log u1\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    10. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    11. metadata-eval99.0

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\color{blue}{0.25}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  4. Applied rewrites99.0%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\left(1 + -2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} + \frac{1}{2} \]
  6. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\left(-2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + 1\right)} + \frac{1}{2} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot -2} + 1\right) + \frac{1}{2} \]
    3. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)} + 1\right) + \frac{1}{2} \]
    4. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}} + 1\right) + \frac{1}{2} \]
    5. associate-*r*N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{{u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    6. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}\right) + 1\right) + \frac{1}{2} \]
    7. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{-2}\right) + 1\right) + \frac{1}{2} \]
    8. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {u2}^{2}} + 1\right) + \frac{1}{2} \]
    10. lower-fma.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}, {u2}^{2}, 1\right)} + \frac{1}{2} \]
    11. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot -2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    12. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    13. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    14. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    15. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    16. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    17. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    18. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    19. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    20. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{-2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    21. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + \frac{1}{2} \]
    22. lower-*.f6498.3

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + 0.5 \]
  7. Applied rewrites98.3%

    \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right)} + 0.5 \]
  8. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    2. lift-/.f64N/A

      \[\leadsto \left(\color{blue}{\frac{1}{6}} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    3. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    4. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    5. pow-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(\log u1 \cdot -2\right)}^{\left(\frac{1}{4} \cdot 2\right)}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    6. lift-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{4} \cdot 2\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    7. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left(\log u1 \cdot \color{blue}{\left(\mathsf{neg}\left(2\right)\right)}\right)}^{\left(\frac{1}{4} \cdot 2\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    8. distribute-rgt-neg-inN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left(\mathsf{neg}\left(\log u1 \cdot 2\right)\right)}}^{\left(\frac{1}{4} \cdot 2\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    9. distribute-lft-neg-outN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left(\left(\mathsf{neg}\left(\log u1\right)\right) \cdot 2\right)}}^{\left(\frac{1}{4} \cdot 2\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    10. lift-neg.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left(\color{blue}{\left(-\log u1\right)} \cdot 2\right)}^{\left(\frac{1}{4} \cdot 2\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    11. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left(\left(-\log u1\right) \cdot 2\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    12. pow1/2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\sqrt{\left(-\log u1\right) \cdot 2}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    13. sqrt-unprodN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left(\sqrt{-\log u1} \cdot \sqrt{2}\right)}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    14. lift-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\color{blue}{\sqrt{-\log u1}} \cdot \sqrt{2}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    15. lift-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \left(\sqrt{-\log u1} \cdot \color{blue}{\sqrt{2}}\right)\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    16. associate-*r*N/A

      \[\leadsto \color{blue}{\left(\left(\frac{1}{6} \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    17. lower-*.f64N/A

      \[\leadsto \color{blue}{\left(\left(\frac{1}{6} \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    18. lower-*.f64N/A

      \[\leadsto \left(\color{blue}{\left(\frac{1}{6} \cdot \sqrt{-\log u1}\right)} \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    19. metadata-eval98.7

      \[\leadsto \left(\left(\color{blue}{0.16666666666666666} \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \]
  9. Applied rewrites98.7%

    \[\leadsto \color{blue}{\left(\left(0.16666666666666666 \cdot \sqrt{-\log u1}\right) \cdot \sqrt{2}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \]
  10. Add Preprocessing

Alternative 7: 98.7% accurate, 2.3× speedup?

\[\begin{array}{l} \\ \left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (+
  (*
   (* (sqrt (* (log u1) -2.0)) 0.16666666666666666)
   (fma (* (* (PI) (PI)) -2.0) (* u2 u2) 1.0))
  0.5))
\begin{array}{l}

\\
\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(-2 \cdot \log u1\right)}^{\frac{1}{2}}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    2. sqr-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    3. pow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    4. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    5. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\frac{1}{4}}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    6. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(-2 \cdot \log u1\right)}^{\color{blue}{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    7. lower-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(-2 \cdot \log u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    8. lift-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(-2 \cdot \log u1\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    10. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\color{blue}{\left(\log u1 \cdot -2\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + \frac{1}{2} \]
    11. metadata-eval99.0

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\color{blue}{0.25}}\right)}^{2}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  4. Applied rewrites99.0%

    \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\left(1 + -2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} + \frac{1}{2} \]
  6. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\left(-2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) + 1\right)} + \frac{1}{2} \]
    2. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot -2} + 1\right) + \frac{1}{2} \]
    3. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)} + 1\right) + \frac{1}{2} \]
    4. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}} + 1\right) + \frac{1}{2} \]
    5. associate-*r*N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{{u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    6. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}\right) + 1\right) + \frac{1}{2} \]
    7. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{-2}\right) + 1\right) + \frac{1}{2} \]
    8. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left({u2}^{2} \cdot \color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right)} + 1\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \left(\color{blue}{\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot {u2}^{2}} + 1\right) + \frac{1}{2} \]
    10. lower-fma.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2}, {u2}^{2}, 1\right)} + \frac{1}{2} \]
    11. *-commutativeN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot -2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    12. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    13. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2} \cdot \color{blue}{{\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    14. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot {\left(\sqrt{-2}\right)}^{2}}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    15. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    16. lower-*.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    17. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    18. lower-PI.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot {\left(\sqrt{-2}\right)}^{2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    19. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{-2}\right)}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    20. rem-square-sqrtN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{-2}, {u2}^{2}, 1\right) + \frac{1}{2} \]
    21. unpow2N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + \frac{1}{2} \]
    22. lower-*.f6498.3

      \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, \color{blue}{u2 \cdot u2}, 1\right) + 0.5 \]
  7. Applied rewrites98.3%

    \[\leadsto \left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{0.25}\right)}^{2}\right) \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right)} + 0.5 \]
  8. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    2. lift-/.f64N/A

      \[\leadsto \left(\color{blue}{\frac{1}{6}} \cdot {\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    3. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}^{2}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    4. lift-pow.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot {\color{blue}{\left({\left(\log u1 \cdot -2\right)}^{\frac{1}{4}}\right)}}^{2}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    5. pow-powN/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{{\left(\log u1 \cdot -2\right)}^{\left(\frac{1}{4} \cdot 2\right)}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    6. metadata-evalN/A

      \[\leadsto \left(\frac{1}{6} \cdot {\left(\log u1 \cdot -2\right)}^{\color{blue}{\frac{1}{2}}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    7. pow1/2N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\sqrt{\log u1 \cdot -2}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    8. lift-sqrt.f64N/A

      \[\leadsto \left(\frac{1}{6} \cdot \color{blue}{\sqrt{\log u1 \cdot -2}}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    9. *-commutativeN/A

      \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot \frac{1}{6}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    10. lift-*.f64N/A

      \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot \frac{1}{6}\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + \frac{1}{2} \]
    11. metadata-eval98.6

      \[\leadsto \left(\sqrt{\log u1 \cdot -2} \cdot \color{blue}{0.16666666666666666}\right) \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \]
  9. Applied rewrites98.6%

    \[\leadsto \color{blue}{\left(\sqrt{\log u1 \cdot -2} \cdot 0.16666666666666666\right)} \cdot \mathsf{fma}\left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -2, u2 \cdot u2, 1\right) + 0.5 \]
  10. Add Preprocessing

Alternative 8: 98.3% accurate, 2.5× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{2}, \sqrt{-\log u1}, 0.5\right) \end{array} \]
(FPCore (u1 u2)
 :precision binary64
 (fma (* 0.16666666666666666 (sqrt 2.0)) (sqrt (- (log u1))) 0.5))
double code(double u1, double u2) {
	return fma((0.16666666666666666 * sqrt(2.0)), sqrt(-log(u1)), 0.5);
}
function code(u1, u2)
	return fma(Float64(0.16666666666666666 * sqrt(2.0)), sqrt(Float64(-log(u1))), 0.5)
end
code[u1_, u2_] := N[(N[(0.16666666666666666 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[(-N[Log[u1], $MachinePrecision])], $MachinePrecision] + 0.5), $MachinePrecision]
\begin{array}{l}

\\
\mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{2}, \sqrt{-\log u1}, 0.5\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
  2. Add Preprocessing
  3. Taylor expanded in u2 around 0

    \[\leadsto \color{blue}{\frac{1}{2} + \frac{1}{6} \cdot \left(\sqrt{\log u1} \cdot \sqrt{-2}\right)} \]
  4. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \color{blue}{\frac{1}{6} \cdot \left(\sqrt{\log u1} \cdot \sqrt{-2}\right) + \frac{1}{2}} \]
    2. *-commutativeN/A

      \[\leadsto \frac{1}{6} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{\log u1}\right)} + \frac{1}{2} \]
    3. associate-*r*N/A

      \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot \sqrt{-2}\right) \cdot \sqrt{\log u1}} + \frac{1}{2} \]
    4. lower-fma.f64N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{-2}, \sqrt{\log u1}, \frac{1}{2}\right)} \]
    5. lower-*.f64N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{6} \cdot \sqrt{-2}}, \sqrt{\log u1}, \frac{1}{2}\right) \]
    6. lower-sqrt.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \color{blue}{\sqrt{-2}}, \sqrt{\log u1}, \frac{1}{2}\right) \]
    7. lower-sqrt.f64N/A

      \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{-2}, \color{blue}{\sqrt{\log u1}}, \frac{1}{2}\right) \]
    8. lower-log.f640.0

      \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{-2}, \sqrt{\color{blue}{\log u1}}, 0.5\right) \]
  5. Applied rewrites0.0%

    \[\leadsto \color{blue}{\mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{-2}, \sqrt{\log u1}, 0.5\right)} \]
  6. Step-by-step derivation
    1. Applied rewrites97.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{\log u1 \cdot -2}, 0.16666666666666666, 0.5\right)} \]
    2. Step-by-step derivation
      1. Applied rewrites97.8%

        \[\leadsto \mathsf{fma}\left(\sqrt{-\log u1} \cdot \sqrt{2}, 0.16666666666666666, 0.5\right) \]
      2. Step-by-step derivation
        1. Applied rewrites97.9%

          \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{2}, \color{blue}{\sqrt{-\log u1}}, 0.5\right) \]
        2. Add Preprocessing

        Alternative 9: 98.1% accurate, 2.8× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\sqrt{\log u1 \cdot -2}, 0.16666666666666666, 0.5\right) \end{array} \]
        (FPCore (u1 u2)
         :precision binary64
         (fma (sqrt (* (log u1) -2.0)) 0.16666666666666666 0.5))
        double code(double u1, double u2) {
        	return fma(sqrt((log(u1) * -2.0)), 0.16666666666666666, 0.5);
        }
        
        function code(u1, u2)
        	return fma(sqrt(Float64(log(u1) * -2.0)), 0.16666666666666666, 0.5)
        end
        
        code[u1_, u2_] := N[(N[Sqrt[N[(N[Log[u1], $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision]
        
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\sqrt{\log u1 \cdot -2}, 0.16666666666666666, 0.5\right)
        \end{array}
        
        Derivation
        1. Initial program 99.4%

          \[\left(\frac{1}{6} \cdot {\left(-2 \cdot \log u1\right)}^{0.5}\right) \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 0.5 \]
        2. Add Preprocessing
        3. Taylor expanded in u2 around 0

          \[\leadsto \color{blue}{\frac{1}{2} + \frac{1}{6} \cdot \left(\sqrt{\log u1} \cdot \sqrt{-2}\right)} \]
        4. Step-by-step derivation
          1. +-commutativeN/A

            \[\leadsto \color{blue}{\frac{1}{6} \cdot \left(\sqrt{\log u1} \cdot \sqrt{-2}\right) + \frac{1}{2}} \]
          2. *-commutativeN/A

            \[\leadsto \frac{1}{6} \cdot \color{blue}{\left(\sqrt{-2} \cdot \sqrt{\log u1}\right)} + \frac{1}{2} \]
          3. associate-*r*N/A

            \[\leadsto \color{blue}{\left(\frac{1}{6} \cdot \sqrt{-2}\right) \cdot \sqrt{\log u1}} + \frac{1}{2} \]
          4. lower-fma.f64N/A

            \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{-2}, \sqrt{\log u1}, \frac{1}{2}\right)} \]
          5. lower-*.f64N/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{6} \cdot \sqrt{-2}}, \sqrt{\log u1}, \frac{1}{2}\right) \]
          6. lower-sqrt.f64N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \color{blue}{\sqrt{-2}}, \sqrt{\log u1}, \frac{1}{2}\right) \]
          7. lower-sqrt.f64N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{6} \cdot \sqrt{-2}, \color{blue}{\sqrt{\log u1}}, \frac{1}{2}\right) \]
          8. lower-log.f640.0

            \[\leadsto \mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{-2}, \sqrt{\color{blue}{\log u1}}, 0.5\right) \]
        5. Applied rewrites0.0%

          \[\leadsto \color{blue}{\mathsf{fma}\left(0.16666666666666666 \cdot \sqrt{-2}, \sqrt{\log u1}, 0.5\right)} \]
        6. Step-by-step derivation
          1. Applied rewrites97.6%

            \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{\log u1 \cdot -2}, 0.16666666666666666, 0.5\right)} \]
          2. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2024244 
          (FPCore (u1 u2)
            :name "normal distribution"
            :precision binary64
            :pre (and (and (<= 0.0 u1) (<= u1 1.0)) (and (<= 0.0 u2) (<= u2 1.0)))
            (+ (* (* (/ 1.0 6.0) (pow (* -2.0 (log u1)) 0.5)) (cos (* (* 2.0 (PI)) u2))) 0.5))