Beckmann Sample, near normal, slope_x

Percentage Accurate: 57.3% → 98.6%
Time: 12.4s
Alternatives: 15
Speedup: 14.4×

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 15 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: 57.3% 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: 98.6% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;{\left(\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(\left(\frac{\left(0.3333333333333333 + \frac{1}{u1 \cdot u1}\right) + \frac{0.5}{u1}}{-u1} - 0.25\right) \cdot {u1}^{4}\right)\right)}^{0.25} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.030500000342726707)
   (*
    (pow
     (*
      (* (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1)
      (*
       (-
        (/ (+ (+ 0.3333333333333333 (/ 1.0 (* u1 u1))) (/ 0.5 u1)) (- u1))
        0.25)
       (pow u1 4.0)))
     0.25)
    (cos (* (* 2.0 (PI)) u2)))
   (* (sqrt (/ -1.0 (/ 1.0 (log (- 1.0 u1))))) (cos (* -2.0 (* (PI) u2))))))
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.030500000342726707:\\
\;\;\;\;{\left(\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(\left(\frac{\left(0.3333333333333333 + \frac{1}{u1 \cdot u1}\right) + \frac{0.5}{u1}}{-u1} - 0.25\right) \cdot {u1}^{4}\right)\right)}^{0.25} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.0305000003

    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

      \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      3. lower--.f32N/A

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

        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      5. lower-*.f32N/A

        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lower--.f32N/A

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

        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      8. lower-*.f32N/A

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

        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      10. distribute-lft-neg-inN/A

        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      11. lower--.f32N/A

        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. distribute-lft-neg-inN/A

        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. metadata-evalN/A

        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-*.f3298.7

        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{-0.25 \cdot u1} - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. Applied rewrites98.7%

      \[\leadsto \sqrt{-\color{blue}{\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. Step-by-step derivation
      1. lift-sqrt.f32N/A

        \[\leadsto \color{blue}{\sqrt{-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      2. pow1/2N/A

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

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

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

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

        \[\leadsto \color{blue}{\left({\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)} \cdot {\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      7. pow-prod-downN/A

        \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      8. lower-pow.f32N/A

        \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      9. lower-*.f32N/A

        \[\leadsto {\color{blue}{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      10. metadata-eval98.7

        \[\leadsto {\left(\left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\color{blue}{0.25}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    7. Applied rewrites98.7%

      \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{0.25}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Taylor expanded in u1 around -inf

      \[\leadsto {\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-{u1}^{4} \cdot \color{blue}{\left(-1 \cdot \frac{\frac{1}{3} + \left(\frac{1}{2} \cdot \frac{1}{u1} + \frac{1}{{u1}^{2}}\right)}{u1} - \frac{1}{4}\right)}\right)\right)}^{\frac{1}{4}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    9. Step-by-step derivation
      1. Applied rewrites98.8%

        \[\leadsto {\left(\left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\frac{\left(0.3333333333333333 + \frac{1}{u1 \cdot u1}\right) + \frac{0.5}{u1}}{-u1} - 0.25\right) \cdot \color{blue}{{u1}^{4}}\right)\right)}^{0.25} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

      if 0.0305000003 < u1

      1. Initial program 97.1%

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

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

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

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

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

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

          \[\leadsto {\color{blue}{\left(e^{\log \left(-\log \left(1 - u1\right)\right)}\right)}}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        7. lower-log.f3297.0

          \[\leadsto {\left(e^{\color{blue}{\log \left(-\log \left(1 - u1\right)\right)}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        8. lift-log.f32N/A

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

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

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

          \[\leadsto {\left(e^{\log \left(-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(1\right)\right) \cdot u1\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        12. distribute-lft-neg-inN/A

          \[\leadsto {\left(e^{\log \left(-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(1 \cdot u1\right)\right)}\right)\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        13. *-lft-identityN/A

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

          \[\leadsto {\left(e^{\log \left(-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        15. lower-neg.f3225.8

          \[\leadsto {\left(e^{\log \left(-\mathsf{log1p}\left(\color{blue}{-u1}\right)\right)}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      4. Applied rewrites25.0%

        \[\leadsto \color{blue}{{\left(e^{\log \left(-\mathsf{log1p}\left(-u1\right)\right)}\right)}^{0.5}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      5. Taylor expanded in u1 around 0

        \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. Step-by-step derivation
        1. lower-log.f3238.7

          \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      7. Applied rewrites38.7%

        \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      8. Step-by-step derivation
        1. lift-exp.f32N/A

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

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

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

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

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

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

          \[\leadsto {\left(\frac{1}{\color{blue}{e^{\mathsf{neg}\left(\log u1\right)}}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      9. Applied rewrites38.7%

        \[\leadsto {\color{blue}{\left(\frac{1}{e^{-\log u1}}\right)}}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      10. Taylor expanded in u2 around inf

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

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

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

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

          \[\leadsto \sqrt{\color{blue}{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \cdot \cos \left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
        5. exp-negN/A

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \color{blue}{\cos \left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
        13. distribute-lft-neg-inN/A

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

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

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

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

        \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)} \]
    10. Recombined 2 regimes into one program.
    11. Final simplification98.6%

      \[\leadsto \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;{\left(\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(\left(\frac{\left(0.3333333333333333 + \frac{1}{u1 \cdot u1}\right) + \frac{0.5}{u1}}{-u1} - 0.25\right) \cdot {u1}^{4}\right)\right)}^{0.25} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \]
    12. Add Preprocessing

    Alternative 2: 97.6% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.17499999701976776:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \end{array} \]
    (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) 0.17499999701976776)
         (*
          (sqrt
           (-
            (*
             (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0)
             u1)))
          t_1)
         (* t_0 (+ 1.0 (* (* (* -2.0 (* u2 u2)) (PI)) (PI)))))))
    \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 0.17499999701976776:\\
    \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\
    
    
    \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))) < 0.174999997

      1. Initial program 53.7%

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

        \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      4. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        2. lower-*.f32N/A

          \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        3. lower--.f32N/A

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

          \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        5. lower-*.f32N/A

          \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lower--.f32N/A

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

          \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        8. lower-*.f32N/A

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

          \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        10. distribute-lft-neg-inN/A

          \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        11. lower--.f32N/A

          \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        12. distribute-lft-neg-inN/A

          \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        13. metadata-evalN/A

          \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        14. lower-*.f3298.1

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

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

      if 0.174999997 < (*.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 97.4%

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), 1\right) \]
        11. lower-PI.f3286.5

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \]
      5. Applied rewrites86.5%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \]
      6. Step-by-step derivation
        1. Applied rewrites92.7%

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(1 - \color{blue}{\left(-\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right) \]
      7. Recombined 2 regimes into one program.
      8. Final simplification97.3%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.17499999701976776:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \]
      9. Add Preprocessing

      Alternative 3: 97.0% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.11999999731779099:\\ \;\;\;\;\sqrt{-\left(\left(-0.3333333333333333 \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \end{array} \]
      (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) 0.11999999731779099)
           (*
            (sqrt (- (* (- (* (- (* -0.3333333333333333 u1) 0.5) u1) 1.0) u1)))
            t_1)
           (* t_0 (+ 1.0 (* (* (* -2.0 (* u2 u2)) (PI)) (PI)))))))
      \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 0.11999999731779099:\\
      \;\;\;\;\sqrt{-\left(\left(-0.3333333333333333 \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\
      
      
      \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))) < 0.119999997

        1. Initial program 51.9%

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

          \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(\frac{-1}{3} \cdot u1 - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        4. Step-by-step derivation
          1. *-commutativeN/A

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

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

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

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

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

            \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{3}\right)\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          7. distribute-lft-neg-inN/A

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

            \[\leadsto \sqrt{-\left(\left(\left(\mathsf{neg}\left(\color{blue}{u1 \cdot \frac{1}{3}}\right)\right) - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          9. distribute-lft-neg-inN/A

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

            \[\leadsto \sqrt{-\left(\color{blue}{\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot \frac{1}{3} - \frac{1}{2}\right)} \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          11. distribute-lft-neg-inN/A

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

            \[\leadsto \sqrt{-\left(\left(\left(\mathsf{neg}\left(\color{blue}{\frac{1}{3} \cdot u1}\right)\right) - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          13. distribute-lft-neg-inN/A

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

            \[\leadsto \sqrt{-\left(\left(\color{blue}{\frac{-1}{3}} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          15. lower-*.f3297.7

            \[\leadsto \sqrt{-\left(\left(\color{blue}{-0.3333333333333333 \cdot u1} - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        5. Applied rewrites97.7%

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

        if 0.119999997 < (*.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 97.1%

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

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

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), 1\right) \]
          11. lower-PI.f3284.5

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \]
        5. Applied rewrites84.5%

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \]
        6. Step-by-step derivation
          1. Applied rewrites93.3%

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(1 - \color{blue}{\left(-\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right) \]
        7. Recombined 2 regimes into one program.
        8. Final simplification96.9%

          \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.11999999731779099:\\ \;\;\;\;\sqrt{-\left(\left(-0.3333333333333333 \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \]
        9. Add Preprocessing

        Alternative 4: 95.4% accurate, 0.6× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.07599999755620956:\\ \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \end{array} \]
        (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) 0.07599999755620956)
             (* (sqrt (- (* (- (* -0.5 u1) 1.0) u1))) t_1)
             (* t_0 (+ 1.0 (* (* (* -2.0 (* u2 u2)) (PI)) (PI)))))))
        \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 0.07599999755620956:\\
        \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\
        
        \mathbf{else}:\\
        \;\;\;\;t\_0 \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\
        
        
        \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))) < 0.0759999976

          1. Initial program 50.7%

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

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

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

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

              \[\leadsto \sqrt{-\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)} \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. distribute-lft-neg-inN/A

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

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

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

              \[\leadsto \sqrt{-\color{blue}{\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot \frac{1}{2} - 1\right)} \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            8. distribute-lft-neg-inN/A

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

              \[\leadsto \sqrt{-\left(\left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot u1}\right)\right) - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            10. distribute-lft-neg-inN/A

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

              \[\leadsto \sqrt{-\left(\color{blue}{\frac{-1}{2}} \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            12. lower-*.f3296.4

              \[\leadsto \sqrt{-\left(\color{blue}{-0.5 \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          5. Applied rewrites96.4%

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

          if 0.0759999976 < (*.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 96.0%

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

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

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

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

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

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

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

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

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

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

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

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), 1\right) \]
            11. lower-PI.f3277.2

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \]
          5. Applied rewrites77.2%

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \]
          6. Step-by-step derivation
            1. Applied rewrites92.6%

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(1 - \color{blue}{\left(-\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right) \]
          7. Recombined 2 regimes into one program.
          8. Final simplification95.6%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.07599999755620956:\\ \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \left(1 + \left(\left(-2 \cdot \left(u2 \cdot u2\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\\ \end{array} \]
          9. Add Preprocessing

          Alternative 5: 93.8% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;\sqrt{-t\_0} \cdot t\_1 \leq 0.08500000089406967:\\ \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{t\_0}}}\\ \end{array} \end{array} \]
          (FPCore (cosTheta_i u1 u2)
           :precision binary32
           (let* ((t_0 (log (- 1.0 u1))) (t_1 (cos (* (* 2.0 (PI)) u2))))
             (if (<= (* (sqrt (- t_0)) t_1) 0.08500000089406967)
               (* (sqrt (- (* (- (* -0.5 u1) 1.0) u1))) t_1)
               (sqrt (/ -1.0 (/ 1.0 t_0))))))
          \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}\;\sqrt{-t\_0} \cdot t\_1 \leq 0.08500000089406967:\\
          \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot t\_1\\
          
          \mathbf{else}:\\
          \;\;\;\;\sqrt{\frac{-1}{\frac{1}{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))) < 0.0850000009

            1. Initial program 51.4%

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

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

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

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

                \[\leadsto \sqrt{-\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)} \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              4. distribute-lft-neg-inN/A

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

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

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

                \[\leadsto \sqrt{-\color{blue}{\left(\left(\mathsf{neg}\left(u1\right)\right) \cdot \frac{1}{2} - 1\right)} \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              8. distribute-lft-neg-inN/A

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

                \[\leadsto \sqrt{-\left(\left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot u1}\right)\right) - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              10. distribute-lft-neg-inN/A

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

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

                \[\leadsto \sqrt{-\left(\color{blue}{-0.5 \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            5. Applied rewrites96.1%

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

            if 0.0850000009 < (*.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 96.7%

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

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

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

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

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

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

                \[\leadsto {\color{blue}{\left(e^{\log \left(-\log \left(1 - u1\right)\right)}\right)}}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              7. lower-log.f3296.7

                \[\leadsto {\left(e^{\color{blue}{\log \left(-\log \left(1 - u1\right)\right)}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              8. lift-log.f32N/A

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

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

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

                \[\leadsto {\left(e^{\log \left(-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(1\right)\right) \cdot u1\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              12. distribute-lft-neg-inN/A

                \[\leadsto {\left(e^{\log \left(-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(1 \cdot u1\right)\right)}\right)\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              13. *-lft-identityN/A

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

                \[\leadsto {\left(e^{\log \left(-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              15. lower-neg.f3228.2

                \[\leadsto {\left(e^{\log \left(-\mathsf{log1p}\left(\color{blue}{-u1}\right)\right)}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. Applied rewrites28.2%

              \[\leadsto \color{blue}{{\left(e^{\log \left(-\mathsf{log1p}\left(-u1\right)\right)}\right)}^{0.5}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            5. Taylor expanded in u1 around 0

              \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            6. Step-by-step derivation
              1. lower-log.f3241.4

                \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            7. Applied rewrites41.4%

              \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            8. Step-by-step derivation
              1. lift-exp.f32N/A

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

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

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

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

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

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

                \[\leadsto {\left(\frac{1}{\color{blue}{e^{\mathsf{neg}\left(\log u1\right)}}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            9. Applied rewrites41.4%

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

              \[\leadsto \color{blue}{\sqrt{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
            11. Step-by-step derivation
              1. lower-sqrt.f32N/A

                \[\leadsto \color{blue}{\sqrt{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
              2. lower-/.f32N/A

                \[\leadsto \sqrt{\color{blue}{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
              3. exp-negN/A

                \[\leadsto \sqrt{\frac{1}{\color{blue}{\frac{1}{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}}}}} \]
              4. lower-/.f32N/A

                \[\leadsto \sqrt{\frac{1}{\color{blue}{\frac{1}{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}}}}} \]
              5. rem-exp-logN/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}}} \]
              6. lower-neg.f32N/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{\color{blue}{-\log \left(1 - u1\right)}}}} \]
              7. lower-log.f32N/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{-\color{blue}{\log \left(1 - u1\right)}}}} \]
              8. lower--.f3287.0

                \[\leadsto \sqrt{\frac{1}{\frac{1}{-\log \color{blue}{\left(1 - u1\right)}}}} \]
            12. Applied rewrites87.0%

              \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}}} \]
          3. Recombined 2 regimes into one program.
          4. Final simplification94.3%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.08500000089406967:\\ \;\;\;\;\sqrt{-\left(-0.5 \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}}\\ \end{array} \]
          5. Add Preprocessing

          Alternative 6: 86.5% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;\sqrt{-t\_0} \cdot t\_1 \leq 0.019600000232458115:\\ \;\;\;\;\sqrt{u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{t\_0}}}\\ \end{array} \end{array} \]
          (FPCore (cosTheta_i u1 u2)
           :precision binary32
           (let* ((t_0 (log (- 1.0 u1))) (t_1 (cos (* (* 2.0 (PI)) u2))))
             (if (<= (* (sqrt (- t_0)) t_1) 0.019600000232458115)
               (* (sqrt u1) t_1)
               (sqrt (/ -1.0 (/ 1.0 t_0))))))
          \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}\;\sqrt{-t\_0} \cdot t\_1 \leq 0.019600000232458115:\\
          \;\;\;\;\sqrt{u1} \cdot t\_1\\
          
          \mathbf{else}:\\
          \;\;\;\;\sqrt{\frac{-1}{\frac{1}{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))) < 0.0196000002

            1. Initial program 45.9%

              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            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.f3244.8

                \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. Applied rewrites45.3%

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

              \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            6. Step-by-step derivation
              1. lower-sqrt.f3287.2

                \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            7. Applied rewrites87.2%

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

            if 0.0196000002 < (*.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 91.1%

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

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

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

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

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

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

                \[\leadsto {\color{blue}{\left(e^{\log \left(-\log \left(1 - u1\right)\right)}\right)}}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              7. lower-log.f3291.1

                \[\leadsto {\left(e^{\color{blue}{\log \left(-\log \left(1 - u1\right)\right)}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              8. lift-log.f32N/A

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

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

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

                \[\leadsto {\left(e^{\log \left(-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(1\right)\right) \cdot u1\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              12. distribute-lft-neg-inN/A

                \[\leadsto {\left(e^{\log \left(-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(1 \cdot u1\right)\right)}\right)\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              13. *-lft-identityN/A

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

                \[\leadsto {\left(e^{\log \left(-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              15. lower-neg.f3233.4

                \[\leadsto {\left(e^{\log \left(-\mathsf{log1p}\left(\color{blue}{-u1}\right)\right)}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. Applied rewrites33.6%

              \[\leadsto \color{blue}{{\left(e^{\log \left(-\mathsf{log1p}\left(-u1\right)\right)}\right)}^{0.5}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            5. Taylor expanded in u1 around 0

              \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            6. Step-by-step derivation
              1. lower-log.f3249.1

                \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            7. Applied rewrites49.1%

              \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            8. Step-by-step derivation
              1. lift-exp.f32N/A

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

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

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

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

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

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

                \[\leadsto {\left(\frac{1}{\color{blue}{e^{\mathsf{neg}\left(\log u1\right)}}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            9. Applied rewrites49.1%

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

              \[\leadsto \color{blue}{\sqrt{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
            11. Step-by-step derivation
              1. lower-sqrt.f32N/A

                \[\leadsto \color{blue}{\sqrt{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
              2. lower-/.f32N/A

                \[\leadsto \sqrt{\color{blue}{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \]
              3. exp-negN/A

                \[\leadsto \sqrt{\frac{1}{\color{blue}{\frac{1}{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}}}}} \]
              4. lower-/.f32N/A

                \[\leadsto \sqrt{\frac{1}{\color{blue}{\frac{1}{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}}}}} \]
              5. rem-exp-logN/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}}} \]
              6. lower-neg.f32N/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{\color{blue}{-\log \left(1 - u1\right)}}}} \]
              7. lower-log.f32N/A

                \[\leadsto \sqrt{\frac{1}{\frac{1}{-\color{blue}{\log \left(1 - u1\right)}}}} \]
              8. lower--.f3281.0

                \[\leadsto \sqrt{\frac{1}{\frac{1}{-\log \color{blue}{\left(1 - u1\right)}}}} \]
            12. Applied rewrites81.0%

              \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}}} \]
          3. Recombined 2 regimes into one program.
          4. Final simplification85.2%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.019600000232458115:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}}\\ \end{array} \]
          5. Add Preprocessing

          Alternative 7: 86.5% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.019600000232458115:\\ \;\;\;\;\sqrt{u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot 1\\ \end{array} \end{array} \]
          (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) 0.019600000232458115) (* (sqrt u1) t_1) (* t_0 1.0))))
          \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 0.019600000232458115:\\
          \;\;\;\;\sqrt{u1} \cdot t\_1\\
          
          \mathbf{else}:\\
          \;\;\;\;t\_0 \cdot 1\\
          
          
          \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))) < 0.0196000002

            1. Initial program 45.9%

              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            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.f3244.8

                \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            4. Applied rewrites46.2%

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

              \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            6. Step-by-step derivation
              1. lower-sqrt.f3287.2

                \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            7. Applied rewrites87.2%

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

            if 0.0196000002 < (*.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 91.1%

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

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
            4. Step-by-step derivation
              1. Applied rewrites80.9%

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

            Alternative 8: 75.5% accurate, 0.6× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.010099999606609344:\\ \;\;\;\;{\left(u1 \cdot u1\right)}^{0.25} \cdot 1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot 1\\ \end{array} \end{array} \]
            (FPCore (cosTheta_i u1 u2)
             :precision binary32
             (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
               (if (<= (* t_0 (cos (* (* 2.0 (PI)) u2))) 0.010099999606609344)
                 (* (pow (* u1 u1) 0.25) 1.0)
                 (* t_0 1.0))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := \sqrt{-\log \left(1 - u1\right)}\\
            \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \leq 0.010099999606609344:\\
            \;\;\;\;{\left(u1 \cdot u1\right)}^{0.25} \cdot 1\\
            
            \mathbf{else}:\\
            \;\;\;\;t\_0 \cdot 1\\
            
            
            \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))) < 0.0100999996

              1. Initial program 42.1%

                \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              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. 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.f3246.8

                  \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              4. Applied rewrites47.0%

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

                \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              6. Step-by-step derivation
                1. lower-sqrt.f3289.4

                  \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              7. Applied rewrites89.4%

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

                \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
              9. Step-by-step derivation
                1. Applied rewrites68.7%

                  \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                2. Step-by-step derivation
                  1. Applied rewrites68.8%

                    \[\leadsto {\left(u1 \cdot u1\right)}^{\color{blue}{0.25}} \cdot 1 \]

                  if 0.0100999996 < (*.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 88.0%

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

                    \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
                  4. Step-by-step derivation
                    1. Applied rewrites77.0%

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

                  Alternative 9: 98.7% accurate, 0.7× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;{\left({\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)}^{4}\right)}^{0.125} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \end{array} \]
                  (FPCore (cosTheta_i u1 u2)
                   :precision binary32
                   (if (<= u1 0.030500000342726707)
                     (*
                      (pow
                       (pow
                        (* (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1)
                        4.0)
                       0.125)
                      (cos (* (* 2.0 (PI)) u2)))
                     (* (sqrt (/ -1.0 (/ 1.0 (log (- 1.0 u1))))) (cos (* -2.0 (* (PI) u2))))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  \mathbf{if}\;u1 \leq 0.030500000342726707:\\
                  \;\;\;\;{\left({\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)}^{4}\right)}^{0.125} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if u1 < 0.0305000003

                    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

                      \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Step-by-step derivation
                      1. *-commutativeN/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. lower-*.f32N/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      3. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      5. lower-*.f32N/A

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      6. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lower-*.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      10. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      11. lower--.f32N/A

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. metadata-evalN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      14. lower-*.f3298.7

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{-0.25 \cdot u1} - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Applied rewrites98.7%

                      \[\leadsto \sqrt{-\color{blue}{\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    6. Step-by-step derivation
                      1. lift-sqrt.f32N/A

                        \[\leadsto \color{blue}{\sqrt{-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. pow1/2N/A

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

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

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

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

                        \[\leadsto \color{blue}{\left({\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)} \cdot {\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      7. pow-prod-downN/A

                        \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lower-pow.f32N/A

                        \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      9. lower-*.f32N/A

                        \[\leadsto {\color{blue}{\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}}^{\left(\frac{1}{2} \cdot \frac{1}{2}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      10. metadata-eval98.7

                        \[\leadsto {\left(\left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\color{blue}{0.25}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    7. Applied rewrites98.7%

                      \[\leadsto \color{blue}{{\left(\left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{0.25}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    8. Step-by-step derivation
                      1. lift-pow.f32N/A

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

                        \[\leadsto {\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\color{blue}{\left(2 \cdot \frac{1}{8}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      3. metadata-evalN/A

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

                        \[\leadsto \color{blue}{\left({\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left({\frac{1}{2}}^{3}\right)} \cdot {\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      5. pow-prod-downN/A

                        \[\leadsto \color{blue}{{\left(\left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right) \cdot \left(\left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right) \cdot \left(-\left(\left(\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1\right)\right)\right)}^{\left({\frac{1}{2}}^{3}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    9. Applied rewrites98.7%

                      \[\leadsto \color{blue}{{\left({\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)}^{4}\right)}^{0.125}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]

                    if 0.0305000003 < u1

                    1. Initial program 97.1%

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

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

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

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

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

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

                        \[\leadsto {\color{blue}{\left(e^{\log \left(-\log \left(1 - u1\right)\right)}\right)}}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      7. lower-log.f3297.0

                        \[\leadsto {\left(e^{\color{blue}{\log \left(-\log \left(1 - u1\right)\right)}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lift-log.f32N/A

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

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

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

                        \[\leadsto {\left(e^{\log \left(-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(1\right)\right) \cdot u1\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto {\left(e^{\log \left(-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(1 \cdot u1\right)\right)}\right)\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. *-lft-identityN/A

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

                        \[\leadsto {\left(e^{\log \left(-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      15. lower-neg.f3225.6

                        \[\leadsto {\left(e^{\log \left(-\mathsf{log1p}\left(\color{blue}{-u1}\right)\right)}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Applied rewrites25.0%

                      \[\leadsto \color{blue}{{\left(e^{\log \left(-\mathsf{log1p}\left(-u1\right)\right)}\right)}^{0.5}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Taylor expanded in u1 around 0

                      \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    6. Step-by-step derivation
                      1. lower-log.f3238.7

                        \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    7. Applied rewrites38.7%

                      \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    8. Step-by-step derivation
                      1. lift-exp.f32N/A

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

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

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

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

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

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

                        \[\leadsto {\left(\frac{1}{\color{blue}{e^{\mathsf{neg}\left(\log u1\right)}}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    9. Applied rewrites38.7%

                      \[\leadsto {\color{blue}{\left(\frac{1}{e^{-\log u1}}\right)}}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    10. Taylor expanded in u2 around inf

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

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

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

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

                        \[\leadsto \sqrt{\color{blue}{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \cdot \cos \left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
                      5. exp-negN/A

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

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

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

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

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

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

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

                        \[\leadsto \sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \color{blue}{\cos \left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
                      13. distribute-lft-neg-inN/A

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

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

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

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

                      \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)} \]
                  3. Recombined 2 regimes into one program.
                  4. Final simplification98.5%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;{\left({\left(\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1\right)}^{4}\right)}^{0.125} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \]
                  5. Add Preprocessing

                  Alternative 10: 98.7% accurate, 0.9× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \end{array} \]
                  (FPCore (cosTheta_i u1 u2)
                   :precision binary32
                   (if (<= u1 0.030500000342726707)
                     (*
                      (sqrt
                       (-
                        (*
                         (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0)
                         u1)))
                      (cos (* (* 2.0 (PI)) u2)))
                     (* (sqrt (/ -1.0 (/ 1.0 (log (- 1.0 u1))))) (cos (* -2.0 (* (PI) u2))))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  \mathbf{if}\;u1 \leq 0.030500000342726707:\\
                  \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if u1 < 0.0305000003

                    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

                      \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Step-by-step derivation
                      1. *-commutativeN/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. lower-*.f32N/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      3. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      5. lower-*.f32N/A

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      6. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lower-*.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      10. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      11. lower--.f32N/A

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. metadata-evalN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      14. lower-*.f3298.7

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{-0.25 \cdot u1} - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Applied rewrites98.7%

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

                    if 0.0305000003 < u1

                    1. Initial program 97.1%

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

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

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

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

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

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

                        \[\leadsto {\color{blue}{\left(e^{\log \left(-\log \left(1 - u1\right)\right)}\right)}}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      7. lower-log.f3297.0

                        \[\leadsto {\left(e^{\color{blue}{\log \left(-\log \left(1 - u1\right)\right)}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lift-log.f32N/A

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

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

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

                        \[\leadsto {\left(e^{\log \left(-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(1\right)\right) \cdot u1\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto {\left(e^{\log \left(-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(1 \cdot u1\right)\right)}\right)\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. *-lft-identityN/A

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

                        \[\leadsto {\left(e^{\log \left(-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}\right)}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      15. lower-neg.f3226.1

                        \[\leadsto {\left(e^{\log \left(-\mathsf{log1p}\left(\color{blue}{-u1}\right)\right)}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Applied rewrites25.0%

                      \[\leadsto \color{blue}{{\left(e^{\log \left(-\mathsf{log1p}\left(-u1\right)\right)}\right)}^{0.5}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Taylor expanded in u1 around 0

                      \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    6. Step-by-step derivation
                      1. lower-log.f3238.7

                        \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    7. Applied rewrites38.7%

                      \[\leadsto {\left(e^{\color{blue}{\log u1}}\right)}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    8. Step-by-step derivation
                      1. lift-exp.f32N/A

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

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

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

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

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

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

                        \[\leadsto {\left(\frac{1}{\color{blue}{e^{\mathsf{neg}\left(\log u1\right)}}}\right)}^{\frac{1}{2}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    9. Applied rewrites38.7%

                      \[\leadsto {\color{blue}{\left(\frac{1}{e^{-\log u1}}\right)}}^{0.5} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    10. Taylor expanded in u2 around inf

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

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

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

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

                        \[\leadsto \sqrt{\color{blue}{\frac{1}{e^{\mathsf{neg}\left(\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)\right)}}}} \cdot \cos \left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
                      5. exp-negN/A

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

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

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

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

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

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

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

                        \[\leadsto \sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \color{blue}{\cos \left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
                      13. distribute-lft-neg-inN/A

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

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

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

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

                      \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{1}{-\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)} \]
                  3. Recombined 2 regimes into one program.
                  4. Final simplification98.5%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{-1}{\frac{1}{\log \left(1 - u1\right)}}} \cdot \cos \left(-2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)\\ \end{array} \]
                  5. Add Preprocessing

                  Alternative 11: 98.6% accurate, 0.9× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;u1 \leq 0.03500000014901161:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\log \left(\frac{1}{1 - u1}\right)} \cdot t\_0\\ \end{array} \end{array} \]
                  (FPCore (cosTheta_i u1 u2)
                   :precision binary32
                   (let* ((t_0 (cos (* (* 2.0 (PI)) u2))))
                     (if (<= u1 0.03500000014901161)
                       (*
                        (sqrt
                         (-
                          (*
                           (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0)
                           u1)))
                        t_0)
                       (* (sqrt (log (/ 1.0 (- 1.0 u1)))) t_0))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                  \mathbf{if}\;u1 \leq 0.03500000014901161:\\
                  \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_0\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\sqrt{\log \left(\frac{1}{1 - u1}\right)} \cdot t\_0\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if u1 < 0.0350000001

                    1. Initial program 53.0%

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

                      \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Step-by-step derivation
                      1. *-commutativeN/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. lower-*.f32N/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      3. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      5. lower-*.f32N/A

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      6. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lower-*.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      10. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      11. lower--.f32N/A

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. metadata-evalN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      14. lower-*.f3298.7

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{-0.25 \cdot u1} - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Applied rewrites98.7%

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

                    if 0.0350000001 < u1

                    1. Initial program 97.0%

                      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    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-/.f3297.1

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

                      \[\leadsto \sqrt{\color{blue}{\log \left(\frac{1}{1 - u1}\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  3. Recombined 2 regimes into one program.
                  4. Add Preprocessing

                  Alternative 12: 98.7% accurate, 1.0× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;u1 \leq 0.030500000342726707:\\ \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\ \end{array} \end{array} \]
                  (FPCore (cosTheta_i u1 u2)
                   :precision binary32
                   (let* ((t_0 (cos (* (* 2.0 (PI)) u2))))
                     (if (<= u1 0.030500000342726707)
                       (*
                        (sqrt
                         (-
                          (*
                           (- (* (- (* (- (* -0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0)
                           u1)))
                        t_0)
                       (* (sqrt (- (log (- 1.0 u1)))) t_0))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
                  \mathbf{if}\;u1 \leq 0.030500000342726707:\\
                  \;\;\;\;\sqrt{-\left(\left(\left(-0.25 \cdot u1 - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot t\_0\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if u1 < 0.0305000003

                    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

                      \[\leadsto \sqrt{-\color{blue}{u1 \cdot \left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right)}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    4. Step-by-step derivation
                      1. *-commutativeN/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      2. lower-*.f32N/A

                        \[\leadsto \sqrt{-\color{blue}{\left(u1 \cdot \left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) - 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      3. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      5. lower-*.f32N/A

                        \[\leadsto \sqrt{-\left(\color{blue}{\left(u1 \cdot \left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) - \frac{1}{2}\right) \cdot u1} - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      6. lower--.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\frac{-1}{4} \cdot u1 - \frac{1}{3}\right) \cdot u1} - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      8. lower-*.f32N/A

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

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right)} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      10. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right)} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      11. lower--.f32N/A

                        \[\leadsto \sqrt{-\left(\left(\color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{4} \cdot u1\right)\right) - \frac{1}{3}\right)} \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      12. distribute-lft-neg-inN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot u1} - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      13. metadata-evalN/A

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{\frac{-1}{4}} \cdot u1 - \frac{1}{3}\right) \cdot u1 - \frac{1}{2}\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      14. lower-*.f3298.7

                        \[\leadsto \sqrt{-\left(\left(\left(\color{blue}{-0.25 \cdot u1} - 0.3333333333333333\right) \cdot u1 - 0.5\right) \cdot u1 - 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    5. Applied rewrites98.7%

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

                    if 0.0305000003 < u1

                    1. Initial program 97.1%

                      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                    2. Add Preprocessing
                  3. Recombined 2 regimes into one program.
                  4. Add Preprocessing

                  Alternative 13: 65.3% accurate, 2.1× speedup?

                  \[\begin{array}{l} \\ {\left(u1 \cdot u1\right)}^{0.25} \cdot 1 \end{array} \]
                  (FPCore (cosTheta_i u1 u2) :precision binary32 (* (pow (* u1 u1) 0.25) 1.0))
                  float code(float cosTheta_i, float u1, float u2) {
                  	return powf((u1 * u1), 0.25f) * 1.0f;
                  }
                  
                  real(4) function code(costheta_i, u1, u2)
                      real(4), intent (in) :: costheta_i
                      real(4), intent (in) :: u1
                      real(4), intent (in) :: u2
                      code = ((u1 * u1) ** 0.25e0) * 1.0e0
                  end function
                  
                  function code(cosTheta_i, u1, u2)
                  	return Float32((Float32(u1 * u1) ^ Float32(0.25)) * Float32(1.0))
                  end
                  
                  function tmp = code(cosTheta_i, u1, u2)
                  	tmp = ((u1 * u1) ^ single(0.25)) * single(1.0);
                  end
                  
                  \begin{array}{l}
                  
                  \\
                  {\left(u1 \cdot u1\right)}^{0.25} \cdot 1
                  \end{array}
                  
                  Derivation
                  1. Initial program 60.2%

                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  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. 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.f3242.6

                      \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  4. Applied rewrites43.2%

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

                    \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  6. Step-by-step derivation
                    1. lower-sqrt.f3275.2

                      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  7. Applied rewrites75.2%

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

                    \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                  9. Step-by-step derivation
                    1. Applied rewrites61.6%

                      \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                    2. Step-by-step derivation
                      1. Applied rewrites61.7%

                        \[\leadsto {\left(u1 \cdot u1\right)}^{\color{blue}{0.25}} \cdot 1 \]
                      2. Add Preprocessing

                      Alternative 14: 65.3% accurate, 2.2× speedup?

                      \[\begin{array}{l} \\ {u1}^{0.5} \cdot 1 \end{array} \]
                      (FPCore (cosTheta_i u1 u2) :precision binary32 (* (pow u1 0.5) 1.0))
                      float code(float cosTheta_i, float u1, float u2) {
                      	return powf(u1, 0.5f) * 1.0f;
                      }
                      
                      real(4) function code(costheta_i, u1, u2)
                          real(4), intent (in) :: costheta_i
                          real(4), intent (in) :: u1
                          real(4), intent (in) :: u2
                          code = (u1 ** 0.5e0) * 1.0e0
                      end function
                      
                      function code(cosTheta_i, u1, u2)
                      	return Float32((u1 ^ Float32(0.5)) * Float32(1.0))
                      end
                      
                      function tmp = code(cosTheta_i, u1, u2)
                      	tmp = (u1 ^ single(0.5)) * single(1.0);
                      end
                      
                      \begin{array}{l}
                      
                      \\
                      {u1}^{0.5} \cdot 1
                      \end{array}
                      
                      Derivation
                      1. Initial program 60.2%

                        \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      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. 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.f3243.6

                          \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      4. Applied rewrites43.2%

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

                        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      6. Step-by-step derivation
                        1. lower-sqrt.f3275.2

                          \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                      7. Applied rewrites75.2%

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

                        \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                      9. Step-by-step derivation
                        1. Applied rewrites61.6%

                          \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                        2. Step-by-step derivation
                          1. Applied rewrites61.6%

                            \[\leadsto {u1}^{\color{blue}{0.5}} \cdot 1 \]
                          2. Add Preprocessing

                          Alternative 15: 65.3% accurate, 14.4× speedup?

                          \[\begin{array}{l} \\ \sqrt{u1} \cdot 1 \end{array} \]
                          (FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt u1) 1.0))
                          float code(float cosTheta_i, float u1, float u2) {
                          	return sqrtf(u1) * 1.0f;
                          }
                          
                          real(4) function code(costheta_i, u1, u2)
                              real(4), intent (in) :: costheta_i
                              real(4), intent (in) :: u1
                              real(4), intent (in) :: u2
                              code = sqrt(u1) * 1.0e0
                          end function
                          
                          function code(cosTheta_i, u1, u2)
                          	return Float32(sqrt(u1) * Float32(1.0))
                          end
                          
                          function tmp = code(cosTheta_i, u1, u2)
                          	tmp = sqrt(u1) * single(1.0);
                          end
                          
                          \begin{array}{l}
                          
                          \\
                          \sqrt{u1} \cdot 1
                          \end{array}
                          
                          Derivation
                          1. Initial program 60.2%

                            \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          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. 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.f3242.4

                              \[\leadsto \sqrt{-\left(\mathsf{log1p}\left(\left(-u1\right) \cdot u1\right) - \color{blue}{\mathsf{log1p}\left(u1\right)}\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          4. Applied rewrites42.3%

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

                            \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          6. Step-by-step derivation
                            1. lower-sqrt.f3275.2

                              \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                          7. Applied rewrites75.2%

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

                            \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                          9. Step-by-step derivation
                            1. Applied rewrites61.6%

                              \[\leadsto \sqrt{u1} \cdot \color{blue}{1} \]
                            2. Add Preprocessing

                            Reproduce

                            ?
                            herbie shell --seed 2024337 
                            (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))))