Beckmann Sample, near normal, slope_y

Percentage Accurate: 58.4% → 98.4%
Time: 6.6s
Alternatives: 10
Speedup: 4.7×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (sin (* (* 2.0 PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-logf((1.0f - u1))) * sinf(((2.0f * ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * sin(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt(-log((single(1.0) - u1))) * sin(((single(2.0) * single(pi)) * u2));
end
\begin{array}{l}

\\
\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)
\end{array}

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 10 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: 58.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (sin (* (* 2.0 PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-logf((1.0f - u1))) * sinf(((2.0f * ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * sin(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt(-log((single(1.0) - u1))) * sin(((single(2.0) * single(pi)) * u2));
end
\begin{array}{l}

\\
\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)
\end{array}

Alternative 1: 98.4% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \pi \cdot 0.5\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (- (log1p (- u1))))
  (* (* (sin (fma (- u2) PI (* PI 0.5))) (sin (* u2 PI))) 2.0)))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * ((sinf(fmaf(-u2, ((float) M_PI), (((float) M_PI) * 0.5f))) * sinf((u2 * ((float) M_PI)))) * 2.0f);
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(sin(fma(Float32(-u2), Float32(pi), Float32(Float32(pi) * Float32(0.5)))) * sin(Float32(u2 * Float32(pi)))) * Float32(2.0)))
end
\begin{array}{l}

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \pi \cdot 0.5\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right)
\end{array}
Derivation
  1. Initial program 58.4%

    \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  2. Step-by-step derivation
    1. lift-log.f32N/A

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

      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. sub-flipN/A

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

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. lower-neg.f3298.4

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

    \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  4. Step-by-step derivation
    1. lift-sin.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\sin \left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
    2. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
    3. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\left(2 \cdot \pi\right)} \cdot u2\right) \]
    4. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) \]
    5. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(2 \cdot \color{blue}{\pi}\right) \cdot u2\right) \]
    6. associate-*l*N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(2 \cdot \left(\pi \cdot u2\right)\right)} \]
    7. sin-2N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(\sin \left(\pi \cdot u2\right) \cdot \cos \left(\pi \cdot u2\right)\right)\right)} \]
    8. *-commutativeN/A

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\left(\sin \left(\pi \cdot u2\right) \cdot \cos \left(\pi \cdot u2\right)\right) \cdot 2\right)} \]
    10. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\color{blue}{\left(\cos \left(\pi \cdot u2\right) \cdot \sin \left(\pi \cdot u2\right)\right)} \cdot 2\right) \]
    11. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\color{blue}{\left(\cos \left(\pi \cdot u2\right) \cdot \sin \left(\pi \cdot u2\right)\right)} \cdot 2\right) \]
    12. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\cos \color{blue}{\left(u2 \cdot \pi\right)} \cdot \sin \left(\pi \cdot u2\right)\right) \cdot 2\right) \]
    13. lower-cos.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\cos \left(u2 \cdot \pi\right)} \cdot \sin \left(\pi \cdot u2\right)\right) \cdot 2\right) \]
    14. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\cos \color{blue}{\left(u2 \cdot \pi\right)} \cdot \sin \left(\pi \cdot u2\right)\right) \cdot 2\right) \]
    15. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\cos \left(u2 \cdot \pi\right) \cdot \sin \color{blue}{\left(u2 \cdot \pi\right)}\right) \cdot 2\right) \]
    16. lower-sin.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\cos \left(u2 \cdot \pi\right) \cdot \color{blue}{\sin \left(u2 \cdot \pi\right)}\right) \cdot 2\right) \]
    17. lower-*.f3298.3

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\left(\cos \left(u2 \cdot \pi\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right)} \]
  6. Step-by-step derivation
    1. lift-cos.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\cos \left(u2 \cdot \pi\right)} \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    2. cos-neg-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\cos \left(\mathsf{neg}\left(u2 \cdot \pi\right)\right)} \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    3. sin-+PI/2-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\sin \left(\left(\mathsf{neg}\left(u2 \cdot \pi\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    4. lower-sin.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\sin \left(\left(\mathsf{neg}\left(u2 \cdot \pi\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    5. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\left(\mathsf{neg}\left(\color{blue}{u2 \cdot \pi}\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    6. distribute-lft-neg-inN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\color{blue}{\left(\mathsf{neg}\left(u2\right)\right) \cdot \pi} + \frac{\mathsf{PI}\left(\right)}{2}\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    7. lower-fma.f32N/A

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \frac{\color{blue}{\pi}}{2}\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    10. mult-flipN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \color{blue}{\pi \cdot \frac{1}{2}}\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    11. metadata-evalN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \pi \cdot \color{blue}{\frac{1}{2}}\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
    12. lower-*.f3298.3

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\mathsf{fma}\left(-u2, \pi, \color{blue}{\pi \cdot 0.5}\right)\right) \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
  7. Applied rewrites98.3%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\color{blue}{\sin \left(\mathsf{fma}\left(-u2, \pi, \pi \cdot 0.5\right)\right)} \cdot \sin \left(u2 \cdot \pi\right)\right) \cdot 2\right) \]
  8. Add Preprocessing

Alternative 2: 98.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log1p (- u1)))) (sin (* (+ PI PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)))
end
\begin{array}{l}

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 58.4%

    \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  2. Step-by-step derivation
    1. lift-log.f32N/A

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

      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. sub-flipN/A

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

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. lower-neg.f3298.4

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

    \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  4. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
    2. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(u2 \cdot \left(2 \cdot \pi\right)\right)} \]
    3. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(2 \cdot \pi\right)}\right) \]
    4. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\pi \cdot 2\right)}\right) \]
    5. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 2\right)\right) \]
    6. add-cube-cbrtN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right)} \cdot 2\right)\right) \]
    7. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot 2\right)\right) \]
    8. lift-cbrt.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot 2\right)\right) \]
    9. associate-*l*N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)}\right) \]
    10. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\color{blue}{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
    11. lift-cbrt.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\color{blue}{\sqrt[3]{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
    12. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
    13. lift-cbrt.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
    14. lift-*.f32N/A

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(\pi + \pi\right) \cdot u2\right)} \]
  6. Add Preprocessing

Alternative 3: 96.9% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \leq -0.0034000000450760126:\\ \;\;\;\;\sqrt{-t\_0} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot t\_1\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (log (- 1.0 u1))) (t_1 (sin (* (+ PI PI) u2))))
   (if (<= t_0 -0.0034000000450760126)
     (* (sqrt (- t_0)) t_1)
     (* (sqrt (fma (* u1 u1) 0.5 u1)) t_1))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = logf((1.0f - u1));
	float t_1 = sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	float tmp;
	if (t_0 <= -0.0034000000450760126f) {
		tmp = sqrtf(-t_0) * t_1;
	} else {
		tmp = sqrtf(fmaf((u1 * u1), 0.5f, u1)) * t_1;
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = log(Float32(Float32(1.0) - u1))
	t_1 = sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2))
	tmp = Float32(0.0)
	if (t_0 <= Float32(-0.0034000000450760126))
		tmp = Float32(sqrt(Float32(-t_0)) * t_1);
	else
		tmp = Float32(sqrt(fma(Float32(u1 * u1), Float32(0.5), u1)) * t_1);
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \log \left(1 - u1\right)\\
t_1 := \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\
\mathbf{if}\;t\_0 \leq -0.0034000000450760126:\\
\;\;\;\;\sqrt{-t\_0} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot t\_1\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -0.00340000005

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\color{blue}{\left(2 \cdot \pi\right)} \cdot u2\right) \]
      2. count-2-revN/A

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      3. lower-+.f3258.4

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
    3. Applied rewrites58.4%

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \color{blue}{\left(\left(\pi + \pi\right) \cdot u2\right)} \]

    if -0.00340000005 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(u2 \cdot \left(2 \cdot \pi\right)\right)} \]
      3. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(2 \cdot \pi\right)}\right) \]
      4. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\pi \cdot 2\right)}\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 2\right)\right) \]
      6. add-cube-cbrtN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right)} \cdot 2\right)\right) \]
      7. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot 2\right)\right) \]
      8. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot 2\right)\right) \]
      9. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)}\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\color{blue}{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      11. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\color{blue}{\sqrt[3]{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      12. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      13. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      14. lift-*.f32N/A

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(\pi + \pi\right) \cdot u2\right)} \]
    6. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    7. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      2. lower-+.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. lower-*.f3287.8

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites87.8%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    9. Step-by-step derivation
      1. lift-*.f32N/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. +-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      4. distribute-lft-inN/A

        \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1\right) + \color{blue}{u1 \cdot 1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      5. *-rgt-identityN/A

        \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1\right) + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      6. lift-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1\right) + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      7. *-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \left(u1 \cdot \frac{1}{2}\right) + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      8. associate-*r*N/A

        \[\leadsto \sqrt{\left(u1 \cdot u1\right) \cdot \frac{1}{2} + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      10. lift-pow.f32N/A

        \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      11. lower-fma.f3287.8

        \[\leadsto \sqrt{\mathsf{fma}\left({u1}^{2}, \color{blue}{0.5}, u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      12. lift-pow.f32N/A

        \[\leadsto \sqrt{\mathsf{fma}\left({u1}^{2}, \frac{1}{2}, u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, \frac{1}{2}, u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      14. lower-*.f3287.8

        \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    10. Applied rewrites87.8%

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

Alternative 4: 94.1% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.00046999999904073775:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.00046999999904073775)
   (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI)))
   (* (sqrt (* (fma 0.5 u1 1.0) u1)) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.00046999999904073775f) {
		tmp = sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
	} else {
		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.00046999999904073775))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))));
	else
		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.00046999999904073775:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 4.69999999e-4

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. lower-*.f32N/A

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3280.9

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites80.9%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \pi\right)\right)} \]

    if 4.69999999e-4 < u2

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(u2 \cdot \left(2 \cdot \pi\right)\right)} \]
      3. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(2 \cdot \pi\right)}\right) \]
      4. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\pi \cdot 2\right)}\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 2\right)\right) \]
      6. add-cube-cbrtN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right)} \cdot 2\right)\right) \]
      7. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot 2\right)\right) \]
      8. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot 2\right)\right) \]
      9. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)}\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\color{blue}{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      11. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\color{blue}{\sqrt[3]{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      12. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      13. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      14. lift-*.f32N/A

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(\pi + \pi\right) \cdot u2\right)} \]
    6. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    7. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      2. lower-+.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. lower-*.f3287.8

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites87.8%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    9. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\left(1 + \frac{1}{2} \cdot u1\right) \cdot \color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. lower-*.f3287.8

        \[\leadsto \sqrt{\left(1 + 0.5 \cdot u1\right) \cdot \color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      4. lift-+.f32N/A

        \[\leadsto \sqrt{\left(1 + \frac{1}{2} \cdot u1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      5. +-commutativeN/A

        \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      6. lift-*.f32N/A

        \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      7. lower-fma.f3287.8

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    10. Applied rewrites87.8%

      \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 5: 90.2% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.0006000000284984708:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.0006000000284984708)
   (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI)))
   (* (sqrt u1) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.0006000000284984708f) {
		tmp = sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
	} else {
		tmp = sqrtf(u1) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.0006000000284984708))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))));
	else
		tmp = Float32(sqrt(u1) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.0006000000284984708:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 6.00000028e-4

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. lower-*.f32N/A

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3280.9

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites80.9%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \pi\right)\right)} \]

    if 6.00000028e-4 < u2

    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(u2 \cdot \left(2 \cdot \pi\right)\right)} \]
      3. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(2 \cdot \pi\right)}\right) \]
      4. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\pi \cdot 2\right)}\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 2\right)\right) \]
      6. add-cube-cbrtN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right)} \cdot 2\right)\right) \]
      7. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot 2\right)\right) \]
      8. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot 2\right)\right) \]
      9. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \color{blue}{\left(\left(\sqrt[3]{\mathsf{PI}\left(\right)} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)}\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\color{blue}{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      11. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\color{blue}{\sqrt[3]{\pi}} \cdot \sqrt[3]{\mathsf{PI}\left(\right)}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      12. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \sqrt[3]{\color{blue}{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      13. lift-cbrt.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(u2 \cdot \left(\left(\sqrt[3]{\pi} \cdot \color{blue}{\sqrt[3]{\pi}}\right) \cdot \left(\sqrt[3]{\pi} \cdot 2\right)\right)\right) \]
      14. lift-*.f32N/A

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \color{blue}{\left(\left(\pi + \pi\right) \cdot u2\right)} \]
    6. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    7. Step-by-step derivation
      1. Applied rewrites76.1%

        \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Recombined 2 regimes into one program.
    9. Add Preprocessing

    Alternative 6: 80.9% accurate, 2.3× speedup?

    \[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI))))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

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

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.4

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. lower-*.f32N/A

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3280.9

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites80.9%

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

    Alternative 7: 76.4% accurate, 1.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ \mathbf{if}\;t\_0 \leq -0.0001900000061141327:\\ \;\;\;\;\left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-t\_0}\\ \mathbf{else}:\\ \;\;\;\;\left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (log (- 1.0 u1))))
       (if (<= t_0 -0.0001900000061141327)
         (* (* u2 (+ PI PI)) (sqrt (- t_0)))
         (* (+ u2 u2) (* u1 (* PI (sqrt (/ 1.0 u1))))))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = logf((1.0f - u1));
    	float tmp;
    	if (t_0 <= -0.0001900000061141327f) {
    		tmp = (u2 * (((float) M_PI) + ((float) M_PI))) * sqrtf(-t_0);
    	} else {
    		tmp = (u2 + u2) * (u1 * (((float) M_PI) * sqrtf((1.0f / u1))));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = log(Float32(Float32(1.0) - u1))
    	tmp = Float32(0.0)
    	if (t_0 <= Float32(-0.0001900000061141327))
    		tmp = Float32(Float32(u2 * Float32(Float32(pi) + Float32(pi))) * sqrt(Float32(-t_0)));
    	else
    		tmp = Float32(Float32(u2 + u2) * Float32(u1 * Float32(Float32(pi) * sqrt(Float32(Float32(1.0) / u1)))));
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	t_0 = log((single(1.0) - u1));
    	tmp = single(0.0);
    	if (t_0 <= single(-0.0001900000061141327))
    		tmp = (u2 * (single(pi) + single(pi))) * sqrt(-t_0);
    	else
    		tmp = (u2 + u2) * (u1 * (single(pi) * sqrt((single(1.0) / u1))));
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \log \left(1 - u1\right)\\
    \mathbf{if}\;t\_0 \leq -0.0001900000061141327:\\
    \;\;\;\;\left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-t\_0}\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -1.90000006e-4

      1. Initial program 58.4%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Taylor expanded in u2 around 0

        \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
      3. Step-by-step derivation
        1. lower-*.f32N/A

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
        6. lower-neg.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        7. lower-log.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3251.0

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites51.0%

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

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

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

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

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

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

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

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

          \[\leadsto \left(u2 \cdot \left(2 \cdot \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
        9. *-commutativeN/A

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

          \[\leadsto \left(\left(2 \cdot \pi\right) \cdot u2\right) \cdot \sqrt{\color{blue}{-\log \left(1 - u1\right)}} \]
        11. lower-*.f3251.0

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

          \[\leadsto \left(\left(2 \cdot \pi\right) \cdot u2\right) \cdot \sqrt{\color{blue}{-\log \left(1 - u1\right)}} \]
        13. *-commutativeN/A

          \[\leadsto \left(u2 \cdot \left(2 \cdot \pi\right)\right) \cdot \sqrt{\color{blue}{-\log \left(1 - u1\right)}} \]
        14. lower-*.f3251.0

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

          \[\leadsto \left(u2 \cdot \left(2 \cdot \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
        16. count-2-revN/A

          \[\leadsto \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
        17. lower-+.f3251.0

          \[\leadsto \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
      6. Applied rewrites51.0%

        \[\leadsto \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \color{blue}{\sqrt{-\log \left(1 - u1\right)}} \]

      if -1.90000006e-4 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

      1. Initial program 58.4%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Taylor expanded in u2 around 0

        \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
      3. Step-by-step derivation
        1. lower-*.f32N/A

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
        6. lower-neg.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        7. lower-log.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3251.0

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites51.0%

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{u1}\right)\right) \]
        2. lower-PI.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
        3. lower-sqrt.f3265.6

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      7. Applied rewrites65.6%

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
      8. Step-by-step derivation
        1. lift-*.f32N/A

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

          \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)}\right) \]
        3. associate-*r*N/A

          \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        4. count-2N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
        5. lift-+.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
        6. lower-*.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        7. lift-*.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\pi \cdot \sqrt{u1}\right) \]
        8. *-commutativeN/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
        9. lower-*.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. Applied rewrites65.6%

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\sqrt{u1} \cdot \pi\right)} \]
      10. Taylor expanded in u1 around inf

        \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{\frac{1}{u1}}}\right)\right) \]
      11. Step-by-step derivation
        1. lower-*.f32N/A

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
        4. lower-sqrt.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
        5. lower-/.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
      12. Applied rewrites65.6%

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

    Alternative 8: 76.4% accurate, 1.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ \mathbf{if}\;t\_0 \leq -0.0001900000061141327:\\ \;\;\;\;\left(\sqrt{-t\_0} \cdot \left(\pi + \pi\right)\right) \cdot u2\\ \mathbf{else}:\\ \;\;\;\;\left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (log (- 1.0 u1))))
       (if (<= t_0 -0.0001900000061141327)
         (* (* (sqrt (- t_0)) (+ PI PI)) u2)
         (* (+ u2 u2) (* u1 (* PI (sqrt (/ 1.0 u1))))))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = logf((1.0f - u1));
    	float tmp;
    	if (t_0 <= -0.0001900000061141327f) {
    		tmp = (sqrtf(-t_0) * (((float) M_PI) + ((float) M_PI))) * u2;
    	} else {
    		tmp = (u2 + u2) * (u1 * (((float) M_PI) * sqrtf((1.0f / u1))));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = log(Float32(Float32(1.0) - u1))
    	tmp = Float32(0.0)
    	if (t_0 <= Float32(-0.0001900000061141327))
    		tmp = Float32(Float32(sqrt(Float32(-t_0)) * Float32(Float32(pi) + Float32(pi))) * u2);
    	else
    		tmp = Float32(Float32(u2 + u2) * Float32(u1 * Float32(Float32(pi) * sqrt(Float32(Float32(1.0) / u1)))));
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	t_0 = log((single(1.0) - u1));
    	tmp = single(0.0);
    	if (t_0 <= single(-0.0001900000061141327))
    		tmp = (sqrt(-t_0) * (single(pi) + single(pi))) * u2;
    	else
    		tmp = (u2 + u2) * (u1 * (single(pi) * sqrt((single(1.0) / u1))));
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \log \left(1 - u1\right)\\
    \mathbf{if}\;t\_0 \leq -0.0001900000061141327:\\
    \;\;\;\;\left(\sqrt{-t\_0} \cdot \left(\pi + \pi\right)\right) \cdot u2\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -1.90000006e-4

      1. Initial program 58.4%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Taylor expanded in u2 around 0

        \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
      3. Step-by-step derivation
        1. lower-*.f32N/A

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
        6. lower-neg.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        7. lower-log.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3251.0

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites51.0%

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)}\right) \]
        3. *-commutativeN/A

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

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

          \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \cdot \color{blue}{u2} \]
        6. count-2-revN/A

          \[\leadsto \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)} + \pi \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2 \]
        7. lift-*.f32N/A

          \[\leadsto \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)} + \pi \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2 \]
        8. lift-*.f32N/A

          \[\leadsto \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)} + \pi \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2 \]
        9. distribute-rgt-outN/A

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
        10. count-2-revN/A

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(2 \cdot \pi\right)\right) \cdot u2 \]
        11. lift-*.f32N/A

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(2 \cdot \pi\right)\right) \cdot u2 \]
        12. lower-*.f3251.0

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(2 \cdot \pi\right)\right) \cdot u2 \]
        13. lift-*.f32N/A

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(2 \cdot \pi\right)\right) \cdot u2 \]
        14. count-2-revN/A

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
        15. lower-+.f3251.0

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
      6. Applied rewrites51.0%

        \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot \color{blue}{u2} \]

      if -1.90000006e-4 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

      1. Initial program 58.4%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Taylor expanded in u2 around 0

        \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
      3. Step-by-step derivation
        1. lower-*.f32N/A

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
        6. lower-neg.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        7. lower-log.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3251.0

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites51.0%

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{u1}\right)\right) \]
        2. lower-PI.f32N/A

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
        3. lower-sqrt.f3265.6

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      7. Applied rewrites65.6%

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
      8. Step-by-step derivation
        1. lift-*.f32N/A

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

          \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)}\right) \]
        3. associate-*r*N/A

          \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        4. count-2N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
        5. lift-+.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
        6. lower-*.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        7. lift-*.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\pi \cdot \sqrt{u1}\right) \]
        8. *-commutativeN/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
        9. lower-*.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. Applied rewrites65.6%

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\sqrt{u1} \cdot \pi\right)} \]
      10. Taylor expanded in u1 around inf

        \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{\frac{1}{u1}}}\right)\right) \]
      11. Step-by-step derivation
        1. lower-*.f32N/A

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
        4. lower-sqrt.f32N/A

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
        5. lower-/.f3265.6

          \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
      12. Applied rewrites65.6%

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

    Alternative 9: 65.6% accurate, 3.0× speedup?

    \[\begin{array}{l} \\ \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (* (+ u2 u2) (* u1 (* PI (sqrt (/ 1.0 u1))))))
    float code(float cosTheta_i, float u1, float u2) {
    	return (u2 + u2) * (u1 * (((float) M_PI) * sqrtf((1.0f / u1))));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(Float32(u2 + u2) * Float32(u1 * Float32(Float32(pi) * sqrt(Float32(Float32(1.0) / u1)))))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = (u2 + u2) * (u1 * (single(pi) * sqrt((single(1.0) / u1))));
    end
    
    \begin{array}{l}
    
    \\
    \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
    3. Step-by-step derivation
      1. lower-*.f32N/A

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

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
      6. lower-neg.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      7. lower-log.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      8. lower--.f3251.0

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
    4. Applied rewrites51.0%

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{u1}\right)\right) \]
      2. lower-PI.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      3. lower-sqrt.f3265.6

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
    7. Applied rewrites65.6%

      \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
    8. Step-by-step derivation
      1. lift-*.f32N/A

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

        \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)}\right) \]
      3. associate-*r*N/A

        \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      4. count-2N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
      5. lift-+.f32N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
      6. lower-*.f3265.6

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      7. lift-*.f32N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\pi \cdot \sqrt{u1}\right) \]
      8. *-commutativeN/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. lower-*.f3265.6

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
    9. Applied rewrites65.6%

      \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\sqrt{u1} \cdot \pi\right)} \]
    10. Taylor expanded in u1 around inf

      \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{\frac{1}{u1}}}\right)\right) \]
    11. Step-by-step derivation
      1. lower-*.f32N/A

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
      4. lower-sqrt.f32N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
      5. lower-/.f3265.6

        \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \sqrt{\frac{1}{u1}}\right)\right) \]
    12. Applied rewrites65.6%

      \[\leadsto \left(u2 + u2\right) \cdot \left(u1 \cdot \left(\pi \cdot \color{blue}{\sqrt{\frac{1}{u1}}}\right)\right) \]
    13. Add Preprocessing

    Alternative 10: 65.6% accurate, 4.7× speedup?

    \[\begin{array}{l} \\ \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (* (+ u2 u2) (* (sqrt u1) PI)))
    float code(float cosTheta_i, float u1, float u2) {
    	return (u2 + u2) * (sqrtf(u1) * ((float) M_PI));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(Float32(u2 + u2) * Float32(sqrt(u1) * Float32(pi)))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = (u2 + u2) * (sqrt(u1) * single(pi));
    end
    
    \begin{array}{l}
    
    \\
    \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right)
    \end{array}
    
    Derivation
    1. Initial program 58.4%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
    3. Step-by-step derivation
      1. lower-*.f32N/A

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

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
      6. lower-neg.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      7. lower-log.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      8. lower--.f3251.0

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
    4. Applied rewrites51.0%

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{u1}\right)\right) \]
      2. lower-PI.f32N/A

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      3. lower-sqrt.f3265.6

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
    7. Applied rewrites65.6%

      \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
    8. Step-by-step derivation
      1. lift-*.f32N/A

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

        \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)}\right) \]
      3. associate-*r*N/A

        \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      4. count-2N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
      5. lift-+.f32N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
      6. lower-*.f3265.6

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      7. lift-*.f32N/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\pi \cdot \sqrt{u1}\right) \]
      8. *-commutativeN/A

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. lower-*.f3265.6

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
    9. Applied rewrites65.6%

      \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\sqrt{u1} \cdot \pi\right)} \]
    10. Add Preprocessing

    Reproduce

    ?
    herbie shell --seed 2025155 
    (FPCore (cosTheta_i u1 u2)
      :name "Beckmann Sample, near normal, slope_y"
      :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)))) (sin (* (* 2.0 PI) u2))))