Beckmann Sample, near normal, slope_x

Percentage Accurate: 57.7% → 98.9%
Time: 11.5s
Alternatives: 21
Speedup: 21.0×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 (PI)) u2))))
\begin{array}{l}

\\
\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
\end{array}

Sampling outcomes in binary32 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 21 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: 57.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 (PI)) u2))))
\begin{array}{l}

\\
\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
\end{array}

Alternative 1: 98.9% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \sqrt{-\left(\mathsf{log1p}\left(\left(u1 \cdot u1\right) \cdot \left(-u1\right)\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (- (- (log1p (* (* u1 u1) (- u1))) (log1p (fma u1 u1 u1)))))
  (cos (* (* 2.0 (PI)) u2))))
\begin{array}{l}

\\
\sqrt{-\left(\mathsf{log1p}\left(\left(u1 \cdot u1\right) \cdot \left(-u1\right)\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 60.9%

    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-log.f32N/A

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. lift--.f32N/A

      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    3. flip3--N/A

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

      \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. lower--.f32N/A

      \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lower-log.f32N/A

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

      \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. lower--.f32N/A

      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    9. lower-pow.f32N/A

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

      \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    11. lower-log1p.f32N/A

      \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    12. *-lft-identityN/A

      \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    13. lower-fma.f3297.0

      \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  4. Applied rewrites97.0%

    \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  5. Step-by-step derivation
    1. lift-log.f32N/A

      \[\leadsto \sqrt{-\left(\color{blue}{\log \left(1 - {u1}^{3}\right)} - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. lift--.f32N/A

      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    3. lift-pow.f32N/A

      \[\leadsto \sqrt{-\left(\log \left(1 - \color{blue}{{u1}^{3}}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    4. unpow3N/A

      \[\leadsto \sqrt{-\left(\log \left(1 - \color{blue}{\left(u1 \cdot u1\right) \cdot u1}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. fp-cancel-sub-sign-invN/A

      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1 \cdot u1\right)\right) \cdot u1\right)} - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lower-log1p.f32N/A

      \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1 \cdot u1\right)\right) \cdot u1\right)} - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    7. distribute-lft-neg-outN/A

      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} \cdot u1\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. lift-neg.f32N/A

      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(\color{blue}{\left(-u1\right)} \cdot u1\right) \cdot u1\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    9. lift-*.f32N/A

      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\left(-u1\right) \cdot u1\right)} \cdot u1\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    10. lower-*.f3299.0

      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\left(-u1\right) \cdot u1\right) \cdot u1}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  6. Applied rewrites99.0%

    \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\left(-u1\right) \cdot u1\right) \cdot u1\right)} - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  7. Final simplification99.0%

    \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(u1 \cdot u1\right) \cdot \left(-u1\right)\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  8. Add Preprocessing

Alternative 2: 97.5% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.32199999690055847:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
   (if (<= (* t_0 t_1) 0.32199999690055847)
     (*
      (sqrt (fma (* (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1) u1 u1))
      t_1)
     (* (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0) t_0))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{-\log \left(1 - u1\right)}\\
t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.32199999690055847:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.321999997

    1. Initial program 55.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-log.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      2. lift--.f32N/A

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      3. flip3--N/A

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

        \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      5. lower--.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lower-log.f32N/A

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

        \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      8. lower--.f32N/A

        \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      9. lower-pow.f32N/A

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

        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      11. lower-log1p.f32N/A

        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. *-lft-identityN/A

        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. lower-fma.f3296.8

        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    4. Applied rewrites96.8%

      \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. Step-by-step derivation
      1. Applied rewrites98.1%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      2. Step-by-step derivation
        1. Applied rewrites98.2%

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, \color{blue}{u1}, u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

        if 0.321999997 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 98.3%

          \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift-neg.f32N/A

            \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          2. lift-log.f32N/A

            \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          3. neg-logN/A

            \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          4. lower-log.f32N/A

            \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          5. lower-/.f3297.8

            \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        4. Applied rewrites97.8%

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

          \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(\frac{1}{1 - u1}\right)}\right)} \]
        6. Step-by-step derivation
          1. Applied rewrites93.6%

            \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{-\log \left(1 - u1\right)}} \]
        7. Recombined 2 regimes into one program.
        8. Add Preprocessing

        Alternative 3: 97.4% accurate, 0.6× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.32199999690055847:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\ \end{array} \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
           (if (<= (* t_0 t_1) 0.32199999690055847)
             (*
              (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))
              t_1)
             (* (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0) t_0))))
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \sqrt{-\log \left(1 - u1\right)}\\
        t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
        \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.32199999690055847:\\
        \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_1\\
        
        \mathbf{else}:\\
        \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.321999997

          1. Initial program 55.2%

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

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          4. Step-by-step derivation
            1. Applied rewrites98.1%

              \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

            if 0.321999997 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

            1. Initial program 98.3%

              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-neg.f32N/A

                \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              2. lift-log.f32N/A

                \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              3. neg-logN/A

                \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              4. lower-log.f32N/A

                \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              5. lower-/.f3297.8

                \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. Applied rewrites97.8%

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

              \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(\frac{1}{1 - u1}\right)}\right)} \]
            6. Step-by-step derivation
              1. Applied rewrites93.6%

                \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{-\log \left(1 - u1\right)}} \]
            7. Recombined 2 regimes into one program.
            8. Add Preprocessing

            Alternative 4: 97.0% accurate, 0.6× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.1420000046491623:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\ \end{array} \end{array} \]
            (FPCore (cosTheta_i u1 u2)
             :precision binary32
             (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
               (if (<= (* t_0 t_1) 0.1420000046491623)
                 (* (sqrt (fma (* (fma 0.3333333333333333 u1 0.5) u1) u1 u1)) t_1)
                 (* (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0) t_0))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := \sqrt{-\log \left(1 - u1\right)}\\
            t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
            \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.1420000046491623:\\
            \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\
            
            \mathbf{else}:\\
            \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.142000005

              1. Initial program 51.1%

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

                \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              4. Step-by-step derivation
                1. Applied rewrites98.4%

                  \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                2. Step-by-step derivation
                  1. Applied rewrites98.4%

                    \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right) \cdot u1, \color{blue}{u1}, u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

                  if 0.142000005 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

                  1. Initial program 97.5%

                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  2. Add Preprocessing
                  3. Step-by-step derivation
                    1. lift-neg.f32N/A

                      \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    2. lift-log.f32N/A

                      \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    3. neg-logN/A

                      \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. lower-log.f32N/A

                      \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. lower-/.f3296.3

                      \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  4. Applied rewrites96.3%

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

                    \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(\frac{1}{1 - u1}\right)}\right)} \]
                  6. Step-by-step derivation
                    1. Applied rewrites90.1%

                      \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{-\log \left(1 - u1\right)}} \]
                  7. Recombined 2 regimes into one program.
                  8. Add Preprocessing

                  Alternative 5: 96.9% accurate, 0.6× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.1420000046491623:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\ \end{array} \end{array} \]
                  (FPCore (cosTheta_i u1 u2)
                   :precision binary32
                   (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
                     (if (<= (* t_0 t_1) 0.1420000046491623)
                       (* (sqrt (* (fma (fma 0.3333333333333333 u1 0.5) u1 1.0) u1)) t_1)
                       (* (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0) t_0))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  t_0 := \sqrt{-\log \left(1 - u1\right)}\\
                  t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                  \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.1420000046491623:\\
                  \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_1\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.142000005

                    1. Initial program 51.1%

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

                      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Step-by-step derivation
                      1. Applied rewrites98.4%

                        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

                      if 0.142000005 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

                      1. Initial program 97.5%

                        \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. Add Preprocessing
                      3. Step-by-step derivation
                        1. lift-neg.f32N/A

                          \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                        2. lift-log.f32N/A

                          \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                        3. neg-logN/A

                          \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                        4. lower-log.f32N/A

                          \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                        5. lower-/.f3296.3

                          \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      4. Applied rewrites96.3%

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

                        \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(\frac{1}{1 - u1}\right)}\right)} \]
                      6. Step-by-step derivation
                        1. Applied rewrites90.1%

                          \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{-\log \left(1 - u1\right)}} \]
                      7. Recombined 2 regimes into one program.
                      8. Add Preprocessing

                      Alternative 6: 95.4% accurate, 0.6× speedup?

                      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.07800000160932541:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\ \end{array} \end{array} \]
                      (FPCore (cosTheta_i u1 u2)
                       :precision binary32
                       (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
                         (if (<= (* t_0 t_1) 0.07800000160932541)
                           (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_1)
                           (* (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0) t_0))))
                      \begin{array}{l}
                      
                      \\
                      \begin{array}{l}
                      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
                      t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                      \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.07800000160932541:\\
                      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot t\_0\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 2 regimes
                      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0780000016

                        1. Initial program 48.2%

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

                          \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                        4. Step-by-step derivation
                          1. Applied rewrites97.4%

                            \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

                          if 0.0780000016 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

                          1. Initial program 96.1%

                            \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          2. Add Preprocessing
                          3. Step-by-step derivation
                            1. lift-neg.f32N/A

                              \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                            2. lift-log.f32N/A

                              \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                            3. neg-logN/A

                              \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                            4. lower-log.f32N/A

                              \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                            5. lower-/.f3294.7

                              \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          4. Applied rewrites94.7%

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

                            \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(\frac{1}{1 - u1}\right)}\right)} \]
                          6. Step-by-step derivation
                            1. Applied rewrites89.6%

                              \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{-\log \left(1 - u1\right)}} \]
                          7. Recombined 2 regimes into one program.
                          8. Add Preprocessing

                          Alternative 7: 93.9% accurate, 0.6× speedup?

                          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.10499999672174454:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
                          (FPCore (cosTheta_i u1 u2)
                           :precision binary32
                           (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 (PI)) u2))))
                             (if (<= (* t_0 t_1) 0.10499999672174454)
                               (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_1)
                               t_0)))
                          \begin{array}{l}
                          
                          \\
                          \begin{array}{l}
                          t_0 := \sqrt{-\log \left(1 - u1\right)}\\
                          t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                          \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.10499999672174454:\\
                          \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\
                          
                          \mathbf{else}:\\
                          \;\;\;\;t\_0\\
                          
                          
                          \end{array}
                          \end{array}
                          
                          Derivation
                          1. Split input into 2 regimes
                          2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.104999997

                            1. Initial program 48.8%

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

                              \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                            4. Step-by-step derivation
                              1. Applied rewrites97.1%

                                \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

                              if 0.104999997 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

                              1. Initial program 96.4%

                                \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                              2. Add Preprocessing
                              3. Step-by-step derivation
                                1. lift-neg.f32N/A

                                  \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                2. lift-log.f32N/A

                                  \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                3. neg-logN/A

                                  \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                4. lower-log.f32N/A

                                  \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                5. lower-/.f3295.1

                                  \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                              4. Applied rewrites95.1%

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

                                \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)}} \]
                              6. Step-by-step derivation
                                1. Applied rewrites81.0%

                                  \[\leadsto \color{blue}{\sqrt{-\log \left(1 - u1\right)}} \]
                              7. Recombined 2 regimes into one program.
                              8. Add Preprocessing

                              Alternative 8: 98.8% accurate, 0.7× speedup?

                              \[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \leq -0.029999999329447746:\\ \;\;\;\;\sqrt{-t\_0} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\ \end{array} \end{array} \]
                              (FPCore (cosTheta_i u1 u2)
                               :precision binary32
                               (let* ((t_0 (log (- 1.0 u1))) (t_1 (cos (* (* 2.0 (PI)) u2))))
                                 (if (<= t_0 -0.029999999329447746)
                                   (* (sqrt (- t_0)) t_1)
                                   (*
                                    (sqrt (fma (* (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1) u1 u1))
                                    t_1))))
                              \begin{array}{l}
                              
                              \\
                              \begin{array}{l}
                              t_0 := \log \left(1 - u1\right)\\
                              t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                              \mathbf{if}\;t\_0 \leq -0.029999999329447746:\\
                              \;\;\;\;\sqrt{-t\_0} \cdot t\_1\\
                              
                              \mathbf{else}:\\
                              \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, u1, u1\right)} \cdot t\_1\\
                              
                              
                              \end{array}
                              \end{array}
                              
                              Derivation
                              1. Split input into 2 regimes
                              2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -0.0299999993

                                1. Initial program 97.9%

                                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                2. Add Preprocessing

                                if -0.0299999993 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

                                1. Initial program 52.1%

                                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                2. Add Preprocessing
                                3. Step-by-step derivation
                                  1. lift-log.f32N/A

                                    \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  2. lift--.f32N/A

                                    \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  3. flip3--N/A

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

                                    \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  5. lower--.f32N/A

                                    \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  6. lower-log.f32N/A

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

                                    \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  8. lower--.f32N/A

                                    \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  9. lower-pow.f32N/A

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

                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  11. lower-log1p.f32N/A

                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  12. *-lft-identityN/A

                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  13. lower-fma.f3296.9

                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                4. Applied rewrites96.9%

                                  \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                5. Taylor expanded in u1 around 0

                                  \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                6. Step-by-step derivation
                                  1. Applied rewrites98.9%

                                    \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  2. Step-by-step derivation
                                    1. Applied rewrites99.0%

                                      \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right) \cdot u1, \color{blue}{u1}, u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  3. Recombined 2 regimes into one program.
                                  4. Add Preprocessing

                                  Alternative 9: 99.0% accurate, 0.7× speedup?

                                  \[\begin{array}{l} \\ \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
                                  (FPCore (cosTheta_i u1 u2)
                                   :precision binary32
                                   (* (sqrt (- (- (log1p (* (- u1) u1)) (log1p u1)))) (cos (* (* 2.0 (PI)) u2))))
                                  \begin{array}{l}
                                  
                                  \\
                                  \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 60.9%

                                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  2. Add Preprocessing
                                  3. Step-by-step derivation
                                    1. lift-log.f32N/A

                                      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    2. lift--.f32N/A

                                      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    3. flip--N/A

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

                                      \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    5. lower--.f32N/A

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

                                      \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    7. fp-cancel-sub-sign-invN/A

                                      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    8. lower-log1p.f32N/A

                                      \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    9. lower-*.f32N/A

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    10. lower-neg.f32N/A

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    11. lower-log1p.f3298.9

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  4. Applied rewrites98.9%

                                    \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  5. Add Preprocessing

                                  Alternative 10: 96.8% accurate, 0.8× speedup?

                                  \[\begin{array}{l} \\ \sqrt{-\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(u1 \cdot u1, -0.25, -0.3333333333333333\right), u1 \cdot u1, -0.5\right), u1 \cdot u1, -1\right) \cdot \left(u1 \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
                                  (FPCore (cosTheta_i u1 u2)
                                   :precision binary32
                                   (*
                                    (sqrt
                                     (-
                                      (-
                                       (*
                                        (fma
                                         (fma (fma (* u1 u1) -0.25 -0.3333333333333333) (* u1 u1) -0.5)
                                         (* u1 u1)
                                         -1.0)
                                        (* u1 u1))
                                       (log1p u1))))
                                    (cos (* (* 2.0 (PI)) u2))))
                                  \begin{array}{l}
                                  
                                  \\
                                  \sqrt{-\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(u1 \cdot u1, -0.25, -0.3333333333333333\right), u1 \cdot u1, -0.5\right), u1 \cdot u1, -1\right) \cdot \left(u1 \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 60.9%

                                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  2. Add Preprocessing
                                  3. Step-by-step derivation
                                    1. lift-log.f32N/A

                                      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    2. lift--.f32N/A

                                      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    3. flip--N/A

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

                                      \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    5. lower--.f32N/A

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

                                      \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    7. fp-cancel-sub-sign-invN/A

                                      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    8. lower-log1p.f32N/A

                                      \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    9. lower-*.f32N/A

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    10. lower-neg.f32N/A

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    11. lower-log1p.f3298.9

                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  4. Applied rewrites98.9%

                                    \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  5. Taylor expanded in u1 around 0

                                    \[\leadsto \sqrt{-\left(\color{blue}{{u1}^{2} \cdot \left({u1}^{2} \cdot \left({u1}^{2} \cdot \left(\frac{-1}{4} \cdot {u1}^{2} - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)} - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                  6. Step-by-step derivation
                                    1. Applied rewrites96.8%

                                      \[\leadsto \sqrt{-\left(\color{blue}{\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.25, u1 \cdot u1, -0.3333333333333333\right), u1 \cdot u1, -0.5\right) \cdot \left(u1 \cdot u1\right) - 1\right) \cdot \left(u1 \cdot u1\right)} - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                    2. Step-by-step derivation
                                      1. Applied rewrites96.8%

                                        \[\leadsto \sqrt{-\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(u1 \cdot u1, -0.25, -0.3333333333333333\right), u1 \cdot u1, -0.5\right), u1 \cdot u1, -1\right) \cdot \left(\color{blue}{u1} \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                      2. Add Preprocessing

                                      Alternative 11: 80.4% accurate, 0.8× speedup?

                                      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.0012400000123307109:\\ \;\;\;\;\sqrt{u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\ \end{array} \end{array} \]
                                      (FPCore (cosTheta_i u1 u2)
                                       :precision binary32
                                       (if (<=
                                            (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 (PI)) u2)))
                                            0.0012400000123307109)
                                         (* (sqrt u1) (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0))
                                         (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))))
                                      \begin{array}{l}
                                      
                                      \\
                                      \begin{array}{l}
                                      \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.0012400000123307109:\\
                                      \;\;\;\;\sqrt{u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)\\
                                      
                                      \mathbf{else}:\\
                                      \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\
                                      
                                      
                                      \end{array}
                                      \end{array}
                                      
                                      Derivation
                                      1. Split input into 2 regimes
                                      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.00124000001

                                        1. Initial program 26.6%

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

                                          \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                        4. Step-by-step derivation
                                          1. Applied rewrites96.6%

                                            \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                          2. Taylor expanded in u2 around 0

                                            \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(1 + -2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} \]
                                          3. Step-by-step derivation
                                            1. Applied rewrites83.0%

                                              \[\leadsto \sqrt{u1} \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \]

                                            if 0.00124000001 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

                                            1. Initial program 82.5%

                                              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                            2. Add Preprocessing
                                            3. Step-by-step derivation
                                              1. lift-log.f32N/A

                                                \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              2. lift--.f32N/A

                                                \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              3. flip3--N/A

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

                                                \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              5. lower--.f32N/A

                                                \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              6. lower-log.f32N/A

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

                                                \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              8. lower--.f32N/A

                                                \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              9. lower-pow.f32N/A

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

                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              11. lower-log1p.f32N/A

                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              12. *-lft-identityN/A

                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              13. lower-fma.f3295.9

                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                            4. Applied rewrites95.9%

                                              \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                            5. Taylor expanded in u2 around 0

                                              \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                            6. Step-by-step derivation
                                              1. Applied rewrites85.9%

                                                \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                              2. Taylor expanded in u1 around 0

                                                \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                              3. Step-by-step derivation
                                                1. Applied rewrites79.4%

                                                  \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]
                                              4. Recombined 2 regimes into one program.
                                              5. Add Preprocessing

                                              Alternative 12: 96.1% accurate, 0.9× speedup?

                                              \[\begin{array}{l} \\ \sqrt{\left(-\left(\mathsf{fma}\left(-0.3333333333333333, u1 \cdot u1, -0.5\right) \cdot \left(u1 \cdot u1\right) - 1\right) \cdot \left(u1 \cdot u1\right)\right) + \mathsf{log1p}\left(u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \end{array} \]
                                              (FPCore (cosTheta_i u1 u2)
                                               :precision binary32
                                               (*
                                                (sqrt
                                                 (+
                                                  (-
                                                   (*
                                                    (- (* (fma -0.3333333333333333 (* u1 u1) -0.5) (* u1 u1)) 1.0)
                                                    (* u1 u1)))
                                                  (log1p u1)))
                                                (cos (* (* 2.0 (PI)) u2))))
                                              \begin{array}{l}
                                              
                                              \\
                                              \sqrt{\left(-\left(\mathsf{fma}\left(-0.3333333333333333, u1 \cdot u1, -0.5\right) \cdot \left(u1 \cdot u1\right) - 1\right) \cdot \left(u1 \cdot u1\right)\right) + \mathsf{log1p}\left(u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)
                                              \end{array}
                                              
                                              Derivation
                                              1. Initial program 60.9%

                                                \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              2. Add Preprocessing
                                              3. Step-by-step derivation
                                                1. lift-log.f32N/A

                                                  \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                2. lift--.f32N/A

                                                  \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                3. flip--N/A

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

                                                  \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                5. lower--.f32N/A

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

                                                  \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                7. fp-cancel-sub-sign-invN/A

                                                  \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                8. lower-log1p.f32N/A

                                                  \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                9. lower-*.f32N/A

                                                  \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                10. lower-neg.f32N/A

                                                  \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                11. lower-log1p.f3298.9

                                                  \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              4. Applied rewrites98.9%

                                                \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              5. Taylor expanded in u1 around 0

                                                \[\leadsto \sqrt{-\left(\color{blue}{{u1}^{2} \cdot \left({u1}^{2} \cdot \left(\frac{-1}{3} \cdot {u1}^{2} - \frac{1}{2}\right) - 1\right)} - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                              6. Step-by-step derivation
                                                1. Applied rewrites95.8%

                                                  \[\leadsto \sqrt{-\left(\color{blue}{\left(\mathsf{fma}\left(-0.3333333333333333, u1 \cdot u1, -0.5\right) \cdot \left(u1 \cdot u1\right) - 1\right) \cdot \left(u1 \cdot u1\right)} - \mathsf{log1p}\left(u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                2. Final simplification95.8%

                                                  \[\leadsto \sqrt{\left(-\left(\mathsf{fma}\left(-0.3333333333333333, u1 \cdot u1, -0.5\right) \cdot \left(u1 \cdot u1\right) - 1\right) \cdot \left(u1 \cdot u1\right)\right) + \mathsf{log1p}\left(u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                3. Add Preprocessing

                                                Alternative 13: 82.9% accurate, 1.4× speedup?

                                                \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.9999995827674866:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\ \end{array} \end{array} \]
                                                (FPCore (cosTheta_i u1 u2)
                                                 :precision binary32
                                                 (if (<= (cos (* (* 2.0 (PI)) u2)) 0.9999995827674866)
                                                   (*
                                                    (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0)
                                                    (sqrt (* (fma 0.5 u1 1.0) u1)))
                                                   (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))))
                                                \begin{array}{l}
                                                
                                                \\
                                                \begin{array}{l}
                                                \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.9999995827674866:\\
                                                \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}\\
                                                
                                                \mathbf{else}:\\
                                                \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\
                                                
                                                
                                                \end{array}
                                                \end{array}
                                                
                                                Derivation
                                                1. Split input into 2 regimes
                                                2. if (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)) < 0.999999583

                                                  1. Initial program 57.9%

                                                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                  2. Add Preprocessing
                                                  3. Step-by-step derivation
                                                    1. lift-log.f32N/A

                                                      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    2. lift--.f32N/A

                                                      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    3. flip--N/A

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

                                                      \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    5. lower--.f32N/A

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

                                                      \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    7. fp-cancel-sub-sign-invN/A

                                                      \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    8. lower-log1p.f32N/A

                                                      \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    9. lower-*.f32N/A

                                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    10. lower-neg.f32N/A

                                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                    11. lower-log1p.f3298.3

                                                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                  4. Applied rewrites98.3%

                                                    \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                  5. Taylor expanded in u2 around 0

                                                    \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)}\right)} \]
                                                  6. Step-by-step derivation
                                                    1. Applied rewrites73.9%

                                                      \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{log1p}\left(u1\right) - \mathsf{log1p}\left(\left(-u1\right) \cdot u1\right)}} \]
                                                    2. Taylor expanded in u1 around 0

                                                      \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
                                                    3. Step-by-step derivation
                                                      1. Applied rewrites66.8%

                                                        \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \]

                                                      if 0.999999583 < (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))

                                                      1. Initial program 62.8%

                                                        \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                      2. Add Preprocessing
                                                      3. Step-by-step derivation
                                                        1. lift-log.f32N/A

                                                          \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        2. lift--.f32N/A

                                                          \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        3. flip3--N/A

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

                                                          \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        5. lower--.f32N/A

                                                          \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        6. lower-log.f32N/A

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

                                                          \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        8. lower--.f32N/A

                                                          \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        9. lower-pow.f32N/A

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

                                                          \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        11. lower-log1p.f32N/A

                                                          \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        12. *-lft-identityN/A

                                                          \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                        13. lower-fma.f3297.2

                                                          \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                      4. Applied rewrites97.2%

                                                        \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                      5. Taylor expanded in u2 around 0

                                                        \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                                      6. Step-by-step derivation
                                                        1. Applied rewrites99.0%

                                                          \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                                        2. Taylor expanded in u1 around 0

                                                          \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                                        3. Step-by-step derivation
                                                          1. Applied rewrites93.0%

                                                            \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]
                                                        4. Recombined 2 regimes into one program.
                                                        5. Add Preprocessing

                                                        Alternative 14: 90.5% accurate, 1.7× speedup?

                                                        \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.02500000037252903:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \end{array} \end{array} \]
                                                        (FPCore (cosTheta_i u1 u2)
                                                         :precision binary32
                                                         (if (<= u2 0.02500000037252903)
                                                           (*
                                                            (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0)
                                                            (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1)))
                                                           (* (sqrt u1) (cos (* (* 2.0 (PI)) u2)))))
                                                        \begin{array}{l}
                                                        
                                                        \\
                                                        \begin{array}{l}
                                                        \mathbf{if}\;u2 \leq 0.02500000037252903:\\
                                                        \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\
                                                        
                                                        \mathbf{else}:\\
                                                        \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                                                        
                                                        
                                                        \end{array}
                                                        \end{array}
                                                        
                                                        Derivation
                                                        1. Split input into 2 regimes
                                                        2. if u2 < 0.0250000004

                                                          1. Initial program 62.5%

                                                            \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                          2. Add Preprocessing
                                                          3. Step-by-step derivation
                                                            1. lift-log.f32N/A

                                                              \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            2. lift--.f32N/A

                                                              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            3. flip--N/A

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

                                                              \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            5. lower--.f32N/A

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

                                                              \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            7. fp-cancel-sub-sign-invN/A

                                                              \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            8. lower-log1p.f32N/A

                                                              \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            9. lower-*.f32N/A

                                                              \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            10. lower-neg.f32N/A

                                                              \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                            11. lower-log1p.f3299.2

                                                              \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                          4. Applied rewrites99.2%

                                                            \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                          5. Taylor expanded in u2 around 0

                                                            \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)}\right)} \]
                                                          6. Step-by-step derivation
                                                            1. Applied rewrites98.3%

                                                              \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{log1p}\left(u1\right) - \mathsf{log1p}\left(\left(-u1\right) \cdot u1\right)}} \]
                                                            2. Taylor expanded in u1 around 0

                                                              \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                                            3. Step-by-step derivation
                                                              1. Applied rewrites92.3%

                                                                \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]

                                                              if 0.0250000004 < u2

                                                              1. Initial program 52.8%

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

                                                                \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                              4. Step-by-step derivation
                                                                1. Applied rewrites77.6%

                                                                  \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                              5. Recombined 2 regimes into one program.
                                                              6. Add Preprocessing

                                                              Alternative 15: 86.9% accurate, 1.9× speedup?

                                                              \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.11999999731779099:\\ \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)}\\ \end{array} \end{array} \]
                                                              (FPCore (cosTheta_i u1 u2)
                                                               :precision binary32
                                                               (if (<= u1 0.11999999731779099)
                                                                 (*
                                                                  (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0)
                                                                  (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1)))
                                                                 (sqrt (- (log (- 1.0 u1))))))
                                                              \begin{array}{l}
                                                              
                                                              \\
                                                              \begin{array}{l}
                                                              \mathbf{if}\;u1 \leq 0.11999999731779099:\\
                                                              \;\;\;\;\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\
                                                              
                                                              \mathbf{else}:\\
                                                              \;\;\;\;\sqrt{-\log \left(1 - u1\right)}\\
                                                              
                                                              
                                                              \end{array}
                                                              \end{array}
                                                              
                                                              Derivation
                                                              1. Split input into 2 regimes
                                                              2. if u1 < 0.119999997

                                                                1. Initial program 55.9%

                                                                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                2. Add Preprocessing
                                                                3. Step-by-step derivation
                                                                  1. lift-log.f32N/A

                                                                    \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  2. lift--.f32N/A

                                                                    \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  3. flip--N/A

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

                                                                    \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  5. lower--.f32N/A

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

                                                                    \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  7. fp-cancel-sub-sign-invN/A

                                                                    \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  8. lower-log1p.f32N/A

                                                                    \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  9. lower-*.f32N/A

                                                                    \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  10. lower-neg.f32N/A

                                                                    \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                  11. lower-log1p.f3299.0

                                                                    \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                4. Applied rewrites99.0%

                                                                  \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                5. Taylor expanded in u2 around 0

                                                                  \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)}\right)} \]
                                                                6. Step-by-step derivation
                                                                  1. Applied rewrites89.2%

                                                                    \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{log1p}\left(u1\right) - \mathsf{log1p}\left(\left(-u1\right) \cdot u1\right)}} \]
                                                                  2. Taylor expanded in u1 around 0

                                                                    \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                                                  3. Step-by-step derivation
                                                                    1. Applied rewrites88.3%

                                                                      \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]

                                                                    if 0.119999997 < u1

                                                                    1. Initial program 98.6%

                                                                      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                    2. Add Preprocessing
                                                                    3. Step-by-step derivation
                                                                      1. lift-neg.f32N/A

                                                                        \[\leadsto \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      2. lift-log.f32N/A

                                                                        \[\leadsto \sqrt{\mathsf{neg}\left(\color{blue}{\log \left(1 - u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      3. neg-logN/A

                                                                        \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      4. lower-log.f32N/A

                                                                        \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      5. lower-/.f3298.1

                                                                        \[\leadsto \sqrt{\log \color{blue}{\left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                    4. Applied rewrites98.1%

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

                                                                      \[\leadsto \color{blue}{\sqrt{\log \left(\frac{1}{1 - u1}\right)}} \]
                                                                    6. Step-by-step derivation
                                                                      1. Applied rewrites83.4%

                                                                        \[\leadsto \color{blue}{\sqrt{-\log \left(1 - u1\right)}} \]
                                                                    7. Recombined 2 regimes into one program.
                                                                    8. Add Preprocessing

                                                                    Alternative 16: 84.3% accurate, 3.9× speedup?

                                                                    \[\begin{array}{l} \\ \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \end{array} \]
                                                                    (FPCore (cosTheta_i u1 u2)
                                                                     :precision binary32
                                                                     (*
                                                                      (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0)
                                                                      (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))))
                                                                    \begin{array}{l}
                                                                    
                                                                    \\
                                                                    \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}
                                                                    \end{array}
                                                                    
                                                                    Derivation
                                                                    1. Initial program 60.9%

                                                                      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                    2. Add Preprocessing
                                                                    3. Step-by-step derivation
                                                                      1. lift-log.f32N/A

                                                                        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      2. lift--.f32N/A

                                                                        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      3. flip--N/A

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

                                                                        \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 \cdot 1 - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      5. lower--.f32N/A

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

                                                                        \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - u1 \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      7. fp-cancel-sub-sign-invN/A

                                                                        \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      8. lower-log1p.f32N/A

                                                                        \[\leadsto \sqrt{-\left(\color{blue}{\mathsf{log1p}\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot u1\right)} - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      9. lower-*.f32N/A

                                                                        \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) \cdot u1}\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      10. lower-neg.f32N/A

                                                                        \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\color{blue}{\left(-u1\right)} \cdot u1\right) - \log \left(1 + u1\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                      11. lower-log1p.f3298.9

                                                                        \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                    4. Applied rewrites98.9%

                                                                      \[\leadsto \sqrt{-\color{blue}{\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \mathsf{log1p}\left(u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                    5. Taylor expanded in u2 around 0

                                                                      \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)} + -2 \cdot \left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right) \cdot \sqrt{\log \left(1 + u1\right) - \log \left(1 + -1 \cdot {u1}^{2}\right)}\right)} \]
                                                                    6. Step-by-step derivation
                                                                      1. Applied rewrites89.3%

                                                                        \[\leadsto \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{log1p}\left(u1\right) - \mathsf{log1p}\left(\left(-u1\right) \cdot u1\right)}} \]
                                                                      2. Taylor expanded in u1 around 0

                                                                        \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                                                      3. Step-by-step derivation
                                                                        1. Applied rewrites84.3%

                                                                          \[\leadsto \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]
                                                                        2. Add Preprocessing

                                                                        Alternative 17: 82.7% accurate, 4.3× speedup?

                                                                        \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right) \end{array} \]
                                                                        (FPCore (cosTheta_i u1 u2)
                                                                         :precision binary32
                                                                         (*
                                                                          (sqrt (* (fma (fma 0.3333333333333333 u1 0.5) u1 1.0) u1))
                                                                          (fma (* -2.0 (* u2 u2)) (* (PI) (PI)) 1.0)))
                                                                        \begin{array}{l}
                                                                        
                                                                        \\
                                                                        \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)
                                                                        \end{array}
                                                                        
                                                                        Derivation
                                                                        1. Initial program 60.9%

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

                                                                          \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                        4. Step-by-step derivation
                                                                          1. Applied rewrites90.6%

                                                                            \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                          2. Taylor expanded in u2 around 0

                                                                            \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\frac{1}{3}, u1, \frac{1}{2}\right), u1, 1\right) \cdot u1} \cdot \color{blue}{\left(1 + -2 \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)} \]
                                                                          3. Step-by-step derivation
                                                                            1. Applied rewrites82.4%

                                                                              \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \]
                                                                            2. Add Preprocessing

                                                                            Alternative 18: 76.8% accurate, 6.8× speedup?

                                                                            \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \end{array} \]
                                                                            (FPCore (cosTheta_i u1 u2)
                                                                             :precision binary32
                                                                             (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1)))
                                                                            float code(float cosTheta_i, float u1, float u2) {
                                                                            	return sqrtf((fmaf(fmaf(fmaf(0.25f, u1, 0.3333333333333333f), u1, 0.5f), u1, 1.0f) * u1));
                                                                            }
                                                                            
                                                                            function code(cosTheta_i, u1, u2)
                                                                            	return sqrt(Float32(fma(fma(fma(Float32(0.25), u1, Float32(0.3333333333333333)), u1, Float32(0.5)), u1, Float32(1.0)) * u1))
                                                                            end
                                                                            
                                                                            \begin{array}{l}
                                                                            
                                                                            \\
                                                                            \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}
                                                                            \end{array}
                                                                            
                                                                            Derivation
                                                                            1. Initial program 60.9%

                                                                              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                            2. Add Preprocessing
                                                                            3. Step-by-step derivation
                                                                              1. lift-log.f32N/A

                                                                                \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              2. lift--.f32N/A

                                                                                \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              3. flip3--N/A

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

                                                                                \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              5. lower--.f32N/A

                                                                                \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              6. lower-log.f32N/A

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

                                                                                \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              8. lower--.f32N/A

                                                                                \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              9. lower-pow.f32N/A

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

                                                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              11. lower-log1p.f32N/A

                                                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              12. *-lft-identityN/A

                                                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                              13. lower-fma.f3297.0

                                                                                \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                            4. Applied rewrites97.0%

                                                                              \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                            5. Taylor expanded in u2 around 0

                                                                              \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                                                            6. Step-by-step derivation
                                                                              1. Applied rewrites81.5%

                                                                                \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                                                              2. Taylor expanded in u1 around 0

                                                                                \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
                                                                              3. Step-by-step derivation
                                                                                1. Applied rewrites77.5%

                                                                                  \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]
                                                                                2. Add Preprocessing

                                                                                Alternative 19: 75.6% accurate, 8.3× speedup?

                                                                                \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \end{array} \]
                                                                                (FPCore (cosTheta_i u1 u2)
                                                                                 :precision binary32
                                                                                 (sqrt (* (fma (fma 0.3333333333333333 u1 0.5) u1 1.0) u1)))
                                                                                float code(float cosTheta_i, float u1, float u2) {
                                                                                	return sqrtf((fmaf(fmaf(0.3333333333333333f, u1, 0.5f), u1, 1.0f) * u1));
                                                                                }
                                                                                
                                                                                function code(cosTheta_i, u1, u2)
                                                                                	return sqrt(Float32(fma(fma(Float32(0.3333333333333333), u1, Float32(0.5)), u1, Float32(1.0)) * u1))
                                                                                end
                                                                                
                                                                                \begin{array}{l}
                                                                                
                                                                                \\
                                                                                \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}
                                                                                \end{array}
                                                                                
                                                                                Derivation
                                                                                1. Initial program 60.9%

                                                                                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                2. Add Preprocessing
                                                                                3. Step-by-step derivation
                                                                                  1. lift-log.f32N/A

                                                                                    \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  2. lift--.f32N/A

                                                                                    \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  3. flip3--N/A

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

                                                                                    \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  5. lower--.f32N/A

                                                                                    \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  6. lower-log.f32N/A

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

                                                                                    \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  8. lower--.f32N/A

                                                                                    \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  9. lower-pow.f32N/A

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

                                                                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  11. lower-log1p.f32N/A

                                                                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  12. *-lft-identityN/A

                                                                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                  13. lower-fma.f3297.0

                                                                                    \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                4. Applied rewrites97.0%

                                                                                  \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                5. Taylor expanded in u2 around 0

                                                                                  \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                                                                6. Step-by-step derivation
                                                                                  1. Applied rewrites81.5%

                                                                                    \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                                                                  2. Taylor expanded in u1 around 0

                                                                                    \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)} \]
                                                                                  3. Step-by-step derivation
                                                                                    1. Applied rewrites76.0%

                                                                                      \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \]
                                                                                    2. Add Preprocessing

                                                                                    Alternative 20: 73.1% accurate, 10.5× speedup?

                                                                                    \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \end{array} \]
                                                                                    (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (* (fma 0.5 u1 1.0) u1)))
                                                                                    float code(float cosTheta_i, float u1, float u2) {
                                                                                    	return sqrtf((fmaf(0.5f, u1, 1.0f) * u1));
                                                                                    }
                                                                                    
                                                                                    function code(cosTheta_i, u1, u2)
                                                                                    	return sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1))
                                                                                    end
                                                                                    
                                                                                    \begin{array}{l}
                                                                                    
                                                                                    \\
                                                                                    \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}
                                                                                    \end{array}
                                                                                    
                                                                                    Derivation
                                                                                    1. Initial program 60.9%

                                                                                      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                    2. Add Preprocessing
                                                                                    3. Step-by-step derivation
                                                                                      1. lift-log.f32N/A

                                                                                        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      2. lift--.f32N/A

                                                                                        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      3. flip3--N/A

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

                                                                                        \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      5. lower--.f32N/A

                                                                                        \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      6. lower-log.f32N/A

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

                                                                                        \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      8. lower--.f32N/A

                                                                                        \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      9. lower-pow.f32N/A

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

                                                                                        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      11. lower-log1p.f32N/A

                                                                                        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      12. *-lft-identityN/A

                                                                                        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                      13. lower-fma.f3297.0

                                                                                        \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                    4. Applied rewrites97.0%

                                                                                      \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                    5. Taylor expanded in u2 around 0

                                                                                      \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                                                                    6. Step-by-step derivation
                                                                                      1. Applied rewrites81.5%

                                                                                        \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                                                                      2. Taylor expanded in u1 around 0

                                                                                        \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
                                                                                      3. Step-by-step derivation
                                                                                        1. Applied rewrites73.3%

                                                                                          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \]
                                                                                        2. Add Preprocessing

                                                                                        Alternative 21: 65.1% accurate, 21.0× speedup?

                                                                                        \[\begin{array}{l} \\ \sqrt{u1} \end{array} \]
                                                                                        (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt u1))
                                                                                        float code(float cosTheta_i, float u1, float u2) {
                                                                                        	return sqrtf(u1);
                                                                                        }
                                                                                        
                                                                                        module fmin_fmax_functions
                                                                                            implicit none
                                                                                            private
                                                                                            public fmax
                                                                                            public fmin
                                                                                        
                                                                                            interface fmax
                                                                                                module procedure fmax88
                                                                                                module procedure fmax44
                                                                                                module procedure fmax84
                                                                                                module procedure fmax48
                                                                                            end interface
                                                                                            interface fmin
                                                                                                module procedure fmin88
                                                                                                module procedure fmin44
                                                                                                module procedure fmin84
                                                                                                module procedure fmin48
                                                                                            end interface
                                                                                        contains
                                                                                            real(8) function fmax88(x, y) result (res)
                                                                                                real(8), intent (in) :: x
                                                                                                real(8), intent (in) :: y
                                                                                                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                                                                                            end function
                                                                                            real(4) function fmax44(x, y) result (res)
                                                                                                real(4), intent (in) :: x
                                                                                                real(4), intent (in) :: y
                                                                                                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                                                                                            end function
                                                                                            real(8) function fmax84(x, y) result(res)
                                                                                                real(8), intent (in) :: x
                                                                                                real(4), intent (in) :: y
                                                                                                res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
                                                                                            end function
                                                                                            real(8) function fmax48(x, y) result(res)
                                                                                                real(4), intent (in) :: x
                                                                                                real(8), intent (in) :: y
                                                                                                res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
                                                                                            end function
                                                                                            real(8) function fmin88(x, y) result (res)
                                                                                                real(8), intent (in) :: x
                                                                                                real(8), intent (in) :: y
                                                                                                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                                                                                            end function
                                                                                            real(4) function fmin44(x, y) result (res)
                                                                                                real(4), intent (in) :: x
                                                                                                real(4), intent (in) :: y
                                                                                                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                                                                                            end function
                                                                                            real(8) function fmin84(x, y) result(res)
                                                                                                real(8), intent (in) :: x
                                                                                                real(4), intent (in) :: y
                                                                                                res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
                                                                                            end function
                                                                                            real(8) function fmin48(x, y) result(res)
                                                                                                real(4), intent (in) :: x
                                                                                                real(8), intent (in) :: y
                                                                                                res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
                                                                                            end function
                                                                                        end module
                                                                                        
                                                                                        real(4) function code(costheta_i, u1, u2)
                                                                                        use fmin_fmax_functions
                                                                                            real(4), intent (in) :: costheta_i
                                                                                            real(4), intent (in) :: u1
                                                                                            real(4), intent (in) :: u2
                                                                                            code = sqrt(u1)
                                                                                        end function
                                                                                        
                                                                                        function code(cosTheta_i, u1, u2)
                                                                                        	return sqrt(u1)
                                                                                        end
                                                                                        
                                                                                        function tmp = code(cosTheta_i, u1, u2)
                                                                                        	tmp = sqrt(u1);
                                                                                        end
                                                                                        
                                                                                        \begin{array}{l}
                                                                                        
                                                                                        \\
                                                                                        \sqrt{u1}
                                                                                        \end{array}
                                                                                        
                                                                                        Derivation
                                                                                        1. Initial program 60.9%

                                                                                          \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                        2. Add Preprocessing
                                                                                        3. Step-by-step derivation
                                                                                          1. lift-log.f32N/A

                                                                                            \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          2. lift--.f32N/A

                                                                                            \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          3. flip3--N/A

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

                                                                                            \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          5. lower--.f32N/A

                                                                                            \[\leadsto \sqrt{-\color{blue}{\left(\log \left({1}^{3} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          6. lower-log.f32N/A

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

                                                                                            \[\leadsto \sqrt{-\left(\log \left(\color{blue}{1} - {u1}^{3}\right) - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          8. lower--.f32N/A

                                                                                            \[\leadsto \sqrt{-\left(\log \color{blue}{\left(1 - {u1}^{3}\right)} - \log \left(1 \cdot 1 + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          9. lower-pow.f32N/A

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

                                                                                            \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \log \left(\color{blue}{1} + \left(u1 \cdot u1 + 1 \cdot u1\right)\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          11. lower-log1p.f32N/A

                                                                                            \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \color{blue}{\mathsf{log1p}\left(u1 \cdot u1 + 1 \cdot u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          12. *-lft-identityN/A

                                                                                            \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(u1 \cdot u1 + \color{blue}{u1}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                          13. lower-fma.f3297.0

                                                                                            \[\leadsto \sqrt{-\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}\right)\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                        4. Applied rewrites97.0%

                                                                                          \[\leadsto \sqrt{-\color{blue}{\left(\log \left(1 - {u1}^{3}\right) - \mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right)\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                                                                                        5. Taylor expanded in u2 around 0

                                                                                          \[\leadsto \color{blue}{\sqrt{\log \left(1 + \left(u1 + {u1}^{2}\right)\right) - \log \left(1 - {u1}^{3}\right)}} \]
                                                                                        6. Step-by-step derivation
                                                                                          1. Applied rewrites81.5%

                                                                                            \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(\mathsf{fma}\left(u1, u1, u1\right)\right) - \mathsf{log1p}\left({\left(-u1\right)}^{3}\right)}} \]
                                                                                          2. Taylor expanded in u1 around 0

                                                                                            \[\leadsto \sqrt{u1} \]
                                                                                          3. Step-by-step derivation
                                                                                            1. Applied rewrites64.4%

                                                                                              \[\leadsto \sqrt{u1} \]
                                                                                            2. Add Preprocessing

                                                                                            Reproduce

                                                                                            ?
                                                                                            herbie shell --seed 2025020 
                                                                                            (FPCore (cosTheta_i u1 u2)
                                                                                              :name "Beckmann Sample, near normal, slope_x"
                                                                                              :precision binary32
                                                                                              :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
                                                                                              (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 (PI)) u2))))