Beckmann Sample, near normal, slope_x

Percentage Accurate: 57.9% → 91.4%
Time: 10.9s
Alternatives: 8
Speedup: 10.5×

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 8 alternatives:

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

Initial Program: 57.9% 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: 91.4% accurate, 0.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\\ t_1 := \sin t\_0\\ t_2 := \cos t\_0\\ \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;\frac{\left(t\_2 + 1\right) - \frac{t\_1}{\frac{-1}{t\_2 - 1}} \cdot \frac{t\_1}{{t\_1}^{2}}}{2} \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot t\_2\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (* (* 2.0 (PI)) u2)) (t_1 (sin t_0)) (t_2 (cos t_0)))
   (if (<= (- 1.0 u1) 0.9998149871826172)
     (*
      (/
       (- (+ t_2 1.0) (* (/ t_1 (/ -1.0 (- t_2 1.0))) (/ t_1 (pow t_1 2.0))))
       2.0)
      (sqrt (- (log (- 1.0 u1)))))
     (* (sqrt u1) t_2))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\\
t_1 := \sin t\_0\\
t_2 := \cos t\_0\\
\mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\
\;\;\;\;\frac{\left(t\_2 + 1\right) - \frac{t\_1}{\frac{-1}{t\_2 - 1}} \cdot \frac{t\_1}{{t\_1}^{2}}}{2} \cdot \sqrt{-\log \left(1 - u1\right)}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{u1} \cdot t\_2\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (-.f32 #s(literal 1 binary32) u1) < 0.99981499

    1. Initial program 87.9%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\frac{\left(\cos \left(\mathsf{PI}\left(\right) \cdot u2 + \mathsf{PI}\left(\right) \cdot u2\right) + \cos \left(\mathsf{PI}\left(\right) \cdot u2 - \mathsf{PI}\left(\right) \cdot u2\right)\right) - \left(\cos \left(\mathsf{PI}\left(\right) \cdot u2 - \mathsf{PI}\left(\right) \cdot u2\right) - \cos \left(\mathsf{PI}\left(\right) \cdot u2 + \mathsf{PI}\left(\right) \cdot u2\right)\right)}{2}} \]
    4. Applied rewrites88.0%

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\frac{\left(\cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) + 1\right) - \left(1 - \cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right)}{2}} \]
    5. Applied rewrites88.1%

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \frac{\left(\cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) + 1\right) - \color{blue}{\frac{\sin \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)}{-{\sin \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)}^{2}} \cdot \frac{\sin \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)}{\frac{1}{\cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) - 1}}}}{2} \]

    if 0.99981499 < (-.f32 #s(literal 1 binary32) u1)

    1. Initial program 38.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. Add Preprocessing
    3. Applied rewrites52.0%

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

      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. Step-by-step derivation
      1. lower-sqrt.f3292.3

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. Applied rewrites92.3%

      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification90.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;\frac{\left(\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) + 1\right) - \frac{\sin \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)}{\frac{-1}{\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) - 1}} \cdot \frac{\sin \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)}{{\sin \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)}^{2}}}{2} \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 2: 91.4% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;\left(\left(t\_0 - 1\right) \cdot 0.5 - \left(-1 - t\_0\right) \cdot 0.5\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot t\_0\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (cos (* (* 2.0 (PI)) u2))))
   (if (<= (- 1.0 u1) 0.9998149871826172)
     (*
      (- (* (- t_0 1.0) 0.5) (* (- -1.0 t_0) 0.5))
      (sqrt (- (log (- 1.0 u1)))))
     (* (sqrt 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}\;1 - u1 \leq 0.9998149871826172:\\
\;\;\;\;\left(\left(t\_0 - 1\right) \cdot 0.5 - \left(-1 - t\_0\right) \cdot 0.5\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{u1} \cdot t\_0\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (-.f32 #s(literal 1 binary32) u1) < 0.99981499

    1. Initial program 87.9%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\frac{\left(\cos \left(\mathsf{PI}\left(\right) \cdot u2 + \mathsf{PI}\left(\right) \cdot u2\right) + \cos \left(\mathsf{PI}\left(\right) \cdot u2 - \mathsf{PI}\left(\right) \cdot u2\right)\right) - \left(\cos \left(\mathsf{PI}\left(\right) \cdot u2 - \mathsf{PI}\left(\right) \cdot u2\right) - \cos \left(\mathsf{PI}\left(\right) \cdot u2 + \mathsf{PI}\left(\right) \cdot u2\right)\right)}{2}} \]
    4. Applied rewrites88.0%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(\left(\cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) + 1\right) \cdot \frac{1}{2} - \left(1 - \cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \color{blue}{\frac{1}{2}}\right) \]
      10. lower-*.f3288.0

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(\left(\cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) + 1\right) \cdot 0.5 - \color{blue}{\left(1 - \cos \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot 0.5}\right) \]
    6. Applied rewrites88.0%

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

    if 0.99981499 < (-.f32 #s(literal 1 binary32) u1)

    1. Initial program 38.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. Add Preprocessing
    3. Applied rewrites52.6%

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

      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. Step-by-step derivation
      1. lower-sqrt.f3292.3

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. Applied rewrites92.3%

      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification90.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;\left(\left(\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) - 1\right) \cdot 0.5 - \left(-1 - \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\right) \cdot 0.5\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 86.4% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ t_1 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.013500000350177288:\\ \;\;\;\;\sqrt{u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;1 \cdot t\_1\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (cos (* (* 2.0 (PI)) u2))) (t_1 (sqrt (- (log (- 1.0 u1))))))
   (if (<= (* t_0 t_1) 0.013500000350177288) (* (sqrt u1) t_0) (* 1.0 t_1))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\
t_1 := \sqrt{-\log \left(1 - u1\right)}\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.013500000350177288:\\
\;\;\;\;\sqrt{u1} \cdot t\_0\\

\mathbf{else}:\\
\;\;\;\;1 \cdot t\_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))) < 0.0135000004

    1. Initial program 40.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    2. Add Preprocessing
    3. Applied rewrites49.4%

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

      \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    5. Step-by-step derivation
      1. lower-sqrt.f3290.6

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. Applied rewrites90.6%

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

    if 0.0135000004 < (*.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 87.5%

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

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
    4. Step-by-step derivation
      1. Applied rewrites75.8%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
    5. Recombined 2 regimes into one program.
    6. Final simplification85.6%

      \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot \sqrt{-\log \left(1 - u1\right)} \leq 0.013500000350177288:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \sqrt{-\log \left(1 - u1\right)}\\ \end{array} \]
    7. Add Preprocessing

    Alternative 4: 68.9% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot t\_0 \leq 0.013500000350177288:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, -0.5 \cdot u1, u1\right)}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot t\_0\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
       (if (<= (* (cos (* (* 2.0 (PI)) u2)) t_0) 0.013500000350177288)
         (sqrt (fma u1 (* -0.5 u1) u1))
         (* 1.0 t_0))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{-\log \left(1 - u1\right)}\\
    \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot t\_0 \leq 0.013500000350177288:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(u1, -0.5 \cdot u1, u1\right)}\\
    
    \mathbf{else}:\\
    \;\;\;\;1 \cdot t\_0\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0135000004

      1. Initial program 40.2%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      2. Add Preprocessing
      3. Applied rewrites49.4%

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

        \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
      5. Step-by-step derivation
        1. lower-sqrt.f32N/A

          \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
        2. lower-log1p.f3274.2

          \[\leadsto \sqrt{\color{blue}{\mathsf{log1p}\left(u1\right)}} \]
      6. Applied rewrites74.2%

        \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(u1\right)}} \]
      7. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{-1}{2} \cdot u1\right)} \]
      8. Step-by-step derivation
        1. Applied rewrites73.7%

          \[\leadsto \sqrt{\mathsf{fma}\left(-0.5, u1, 1\right) \cdot u1} \]
        2. Step-by-step derivation
          1. Applied rewrites73.6%

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

          if 0.0135000004 < (*.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 87.5%

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
          4. Step-by-step derivation
            1. Applied rewrites75.8%

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{1} \]
          5. Recombined 2 regimes into one program.
          6. Final simplification66.8%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot \sqrt{-\log \left(1 - u1\right)} \leq 0.013500000350177288:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, -0.5 \cdot u1, u1\right)}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \sqrt{-\log \left(1 - u1\right)}\\ \end{array} \]
          7. Add Preprocessing

          Alternative 5: 91.4% accurate, 1.0× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;t\_0 \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot t\_0\\ \end{array} \end{array} \]
          (FPCore (cosTheta_i u1 u2)
           :precision binary32
           (let* ((t_0 (cos (* (* 2.0 (PI)) u2))))
             (if (<= (- 1.0 u1) 0.9998149871826172)
               (* t_0 (sqrt (- (log (- 1.0 u1)))))
               (* (sqrt 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}\;1 - u1 \leq 0.9998149871826172:\\
          \;\;\;\;t\_0 \cdot \sqrt{-\log \left(1 - u1\right)}\\
          
          \mathbf{else}:\\
          \;\;\;\;\sqrt{u1} \cdot t\_0\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 2 regimes
          2. if (-.f32 #s(literal 1 binary32) u1) < 0.99981499

            1. Initial program 87.9%

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

            if 0.99981499 < (-.f32 #s(literal 1 binary32) u1)

            1. Initial program 38.2%

              \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            2. Add Preprocessing
            3. Applied rewrites52.8%

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

              \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            5. Step-by-step derivation
              1. lower-sqrt.f3292.3

                \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
            6. Applied rewrites92.3%

              \[\leadsto \color{blue}{\sqrt{u1}} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          3. Recombined 2 regimes into one program.
          4. Final simplification90.7%

            \[\leadsto \begin{array}{l} \mathbf{if}\;1 - u1 \leq 0.9998149871826172:\\ \;\;\;\;\cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\\ \end{array} \]
          5. Add Preprocessing

          Alternative 6: 53.7% accurate, 10.5× speedup?

          \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(u1, -0.5 \cdot u1, u1\right)} \end{array} \]
          (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (fma u1 (* -0.5 u1) u1)))
          float code(float cosTheta_i, float u1, float u2) {
          	return sqrtf(fmaf(u1, (-0.5f * u1), u1));
          }
          
          function code(cosTheta_i, u1, u2)
          	return sqrt(fma(u1, Float32(Float32(-0.5) * u1), u1))
          end
          
          \begin{array}{l}
          
          \\
          \sqrt{\mathsf{fma}\left(u1, -0.5 \cdot u1, u1\right)}
          \end{array}
          
          Derivation
          1. Initial program 56.3%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
          2. Add Preprocessing
          3. Applied rewrites42.4%

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

            \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
          5. Step-by-step derivation
            1. lower-sqrt.f32N/A

              \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
            2. lower-log1p.f3266.6

              \[\leadsto \sqrt{\color{blue}{\mathsf{log1p}\left(u1\right)}} \]
          6. Applied rewrites66.6%

            \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(u1\right)}} \]
          7. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{-1}{2} \cdot u1\right)} \]
          8. Step-by-step derivation
            1. Applied rewrites66.6%

              \[\leadsto \sqrt{\mathsf{fma}\left(-0.5, u1, 1\right) \cdot u1} \]
            2. Step-by-step derivation
              1. Applied rewrites66.6%

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

              Alternative 7: 64.7% accurate, 10.5× speedup?

              \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(u1, -0.5, 1\right) \cdot u1} \end{array} \]
              (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (* (fma u1 -0.5 1.0) u1)))
              float code(float cosTheta_i, float u1, float u2) {
              	return sqrtf((fmaf(u1, -0.5f, 1.0f) * u1));
              }
              
              function code(cosTheta_i, u1, u2)
              	return sqrt(Float32(fma(u1, Float32(-0.5), Float32(1.0)) * u1))
              end
              
              \begin{array}{l}
              
              \\
              \sqrt{\mathsf{fma}\left(u1, -0.5, 1\right) \cdot u1}
              \end{array}
              
              Derivation
              1. Initial program 56.3%

                \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
              2. Add Preprocessing
              3. Applied rewrites42.7%

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

                \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
              5. Step-by-step derivation
                1. lower-sqrt.f32N/A

                  \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
                2. lower-log1p.f3266.6

                  \[\leadsto \sqrt{\color{blue}{\mathsf{log1p}\left(u1\right)}} \]
              6. Applied rewrites66.6%

                \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(u1\right)}} \]
              7. Taylor expanded in u1 around 0

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

                  \[\leadsto \sqrt{\mathsf{fma}\left(-0.5, u1, 1\right) \cdot u1} \]
                2. Step-by-step derivation
                  1. Applied rewrites66.2%

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

                  Alternative 8: -0.0% accurate, 11.0× speedup?

                  \[\begin{array}{l} \\ \sqrt{\left(-0.5 \cdot u1\right) \cdot u1} \end{array} \]
                  (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (* (* -0.5 u1) u1)))
                  float code(float cosTheta_i, float u1, float u2) {
                  	return sqrtf(((-0.5f * u1) * u1));
                  }
                  
                  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((((-0.5e0) * u1) * u1))
                  end function
                  
                  function code(cosTheta_i, u1, u2)
                  	return sqrt(Float32(Float32(Float32(-0.5) * u1) * u1))
                  end
                  
                  function tmp = code(cosTheta_i, u1, u2)
                  	tmp = sqrt(((single(-0.5) * u1) * u1));
                  end
                  
                  \begin{array}{l}
                  
                  \\
                  \sqrt{\left(-0.5 \cdot u1\right) \cdot u1}
                  \end{array}
                  
                  Derivation
                  1. Initial program 56.3%

                    \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
                  2. Add Preprocessing
                  3. Applied rewrites42.5%

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

                    \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
                  5. Step-by-step derivation
                    1. lower-sqrt.f32N/A

                      \[\leadsto \color{blue}{\sqrt{\log \left(1 + u1\right)}} \]
                    2. lower-log1p.f3266.6

                      \[\leadsto \sqrt{\color{blue}{\mathsf{log1p}\left(u1\right)}} \]
                  6. Applied rewrites66.6%

                    \[\leadsto \color{blue}{\sqrt{\mathsf{log1p}\left(u1\right)}} \]
                  7. Taylor expanded in u1 around 0

                    \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{-1}{2} \cdot u1\right)} \]
                  8. Step-by-step derivation
                    1. Applied rewrites66.6%

                      \[\leadsto \sqrt{\mathsf{fma}\left(-0.5, u1, 1\right) \cdot u1} \]
                    2. Taylor expanded in u1 around inf

                      \[\leadsto \sqrt{\left(\frac{-1}{2} \cdot u1\right) \cdot u1} \]
                    3. Step-by-step derivation
                      1. Applied rewrites-0.0%

                        \[\leadsto \sqrt{\left(-0.5 \cdot u1\right) \cdot u1} \]
                      2. Add Preprocessing

                      Reproduce

                      ?
                      herbie shell --seed 2024294 
                      (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))))