Beckmann Sample, near normal, slope_y

Percentage Accurate: 57.9% → 98.3%
Time: 5.4s
Alternatives: 15
Speedup: 4.5×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \end{array} \]
(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 15 alternatives:

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

Initial Program: 57.9% 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: 98.3% 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 57.9%

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

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

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    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.f3298.3

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

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

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

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

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lift-PI.f3298.3

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

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

Alternative 2: 97.0% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ \mathbf{if}\;t\_0 \leq -0.0035000001080334187:\\ \;\;\;\;\sqrt{-t\_0} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sqrt{u1} \cdot u1, 0.25, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (log (- 1.0 u1))))
   (if (<= t_0 -0.0035000001080334187)
     (* (sqrt (- t_0)) (sin (* (+ PI PI) u2)))
     (* (fma (* (sqrt u1) u1) 0.25 (sqrt u1)) (sin (* (* 2.0 PI) u2))))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = logf((1.0f - u1));
	float tmp;
	if (t_0 <= -0.0035000001080334187f) {
		tmp = sqrtf(-t_0) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	} else {
		tmp = fmaf((sqrtf(u1) * u1), 0.25f, sqrtf(u1)) * sinf(((2.0f * ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = log(Float32(Float32(1.0) - u1))
	tmp = Float32(0.0)
	if (t_0 <= Float32(-0.0035000001080334187))
		tmp = Float32(sqrt(Float32(-t_0)) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	else
		tmp = Float32(fma(Float32(sqrt(u1) * u1), Float32(0.25), sqrt(u1)) * sin(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \log \left(1 - u1\right)\\
\mathbf{if}\;t\_0 \leq -0.0035000001080334187:\\
\;\;\;\;\sqrt{-t\_0} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{u1} \cdot u1, 0.25, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -0.00350000011

    1. Initial program 57.9%

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3257.9

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    3. Applied rewrites57.9%

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

    if -0.00350000011 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

    1. Initial program 57.9%

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

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

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

        \[\leadsto \left(\frac{{u1}^{2}}{\sqrt{u1}} \cdot \frac{1}{4} + \sqrt{\color{blue}{u1}}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. pow1/2N/A

        \[\leadsto \left(\frac{{u1}^{2}}{{u1}^{\frac{1}{2}}} \cdot \frac{1}{4} + \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. pow-divN/A

        \[\leadsto \left({u1}^{\left(2 - \frac{1}{2}\right)} \cdot \frac{1}{4} + \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. metadata-evalN/A

        \[\leadsto \left({u1}^{\frac{3}{2}} \cdot \frac{1}{4} + \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. metadata-evalN/A

        \[\leadsto \left({u1}^{\left(\frac{3}{2}\right)} \cdot \frac{1}{4} + \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      7. sqrt-pow2N/A

        \[\leadsto \left({\left(\sqrt{u1}\right)}^{3} \cdot \frac{1}{4} + \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left({\left(\sqrt{u1}\right)}^{3}, \color{blue}{\frac{1}{4}}, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      9. cube-multN/A

        \[\leadsto \mathsf{fma}\left(\sqrt{u1} \cdot \left(\sqrt{u1} \cdot \sqrt{u1}\right), \frac{1}{4}, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      10. rem-square-sqrtN/A

        \[\leadsto \mathsf{fma}\left(\sqrt{u1} \cdot u1, \frac{1}{4}, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      11. lower-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\sqrt{u1} \cdot u1, \frac{1}{4}, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      12. lower-sqrt.f32N/A

        \[\leadsto \mathsf{fma}\left(\sqrt{u1} \cdot u1, \frac{1}{4}, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-sqrt.f3287.9

        \[\leadsto \mathsf{fma}\left(\sqrt{u1} \cdot u1, 0.25, \sqrt{u1}\right) \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Applied rewrites87.9%

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

Alternative 3: 97.0% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \leq -0.0035000001080334187:\\ \;\;\;\;\sqrt{-t\_0} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (log (- 1.0 u1))) (t_1 (sin (* (+ PI PI) u2))))
   (if (<= t_0 -0.0035000001080334187)
     (* (sqrt (- t_0)) t_1)
     (* (sqrt (* (fma 0.5 u1 1.0) 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 <= -0.0035000001080334187f) {
		tmp = sqrtf(-t_0) * t_1;
	} else {
		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * 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(-0.0035000001080334187))
		tmp = Float32(sqrt(Float32(-t_0)) * t_1);
	else
		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * 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 -0.0035000001080334187:\\
\;\;\;\;\sqrt{-t\_0} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -0.00350000011

    1. Initial program 57.9%

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3257.9

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    3. Applied rewrites57.9%

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

    if -0.00350000011 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3298.3

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

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

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

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

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites87.7%

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

Alternative 4: 95.3% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\log \left(1 - u1\right) \leq -0.003599999938160181:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (log (- 1.0 u1)) -0.003599999938160181)
   (*
    (sqrt (- (log1p (- u1))))
    (* (fma (* u2 (* u2 (* (* PI PI) PI))) -1.3333333333333333 (+ PI PI)) u2))
   (* (sqrt (* (fma 0.5 u1 1.0) u1)) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (logf((1.0f - u1)) <= -0.003599999938160181f) {
		tmp = sqrtf(-log1pf(-u1)) * (fmaf((u2 * (u2 * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)))), -1.3333333333333333f, (((float) M_PI) + ((float) M_PI))) * u2);
	} 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 (log(Float32(Float32(1.0) - u1)) <= Float32(-0.003599999938160181))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(fma(Float32(u2 * Float32(u2 * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)))), Float32(-1.3333333333333333), Float32(Float32(pi) + Float32(pi))) * u2));
	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}\;\log \left(1 - u1\right) \leq -0.003599999938160181:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\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 (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -0.00359999994

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot {\mathsf{PI}\left(\right)}^{3}\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot {\mathsf{PI}\left(\right)}^{3}\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      11. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot {\mathsf{PI}\left(\right)}^{3}\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      12. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      13. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      14. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      15. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      16. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      17. lift-PI.f3289.0

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if -0.00359999994 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3298.3

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

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

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

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

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites87.7%

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

Alternative 5: 94.3% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.03999999910593033:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.03999999910593033)
   (*
    (sqrt (- (log1p (- u1))))
    (* (fma (* u2 u2) (* (* (* PI PI) PI) -1.3333333333333333) (+ PI PI)) u2))
   (* (sqrt u1) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.03999999910593033f) {
		tmp = sqrtf(-log1pf(-u1)) * (fmaf((u2 * u2), (((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * -1.3333333333333333f), (((float) M_PI) + ((float) M_PI))) * u2);
	} 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(0.03999999910593033))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(fma(Float32(u2 * u2), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * Float32(-1.3333333333333333)), Float32(Float32(pi) + Float32(pi))) * u2));
	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 0.03999999910593033:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\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 < 0.0399999991

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      16. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      17. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if 0.0399999991 < u2

    1. Initial program 57.9%

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

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

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

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

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

        \[\leadsto \sqrt{u1} \cdot \sin \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right) \]
      5. associate-*l*N/A

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

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

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

        \[\leadsto \sqrt{u1} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      9. lift-sin.f3276.4

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

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

        \[\leadsto \sqrt{u1} \cdot \sin \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. count-2-revN/A

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

        \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lift-PI.f32N/A

        \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\pi + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. lift-PI.f3276.4

        \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    4. Applied rewrites76.4%

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

Alternative 6: 89.0% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333\right) + \left(\pi + \pi\right)\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (- (log1p (- u1))))
  (* (+ (* (* u2 u2) (* (* (* PI PI) PI) -1.3333333333333333)) (+ PI PI)) u2)))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * ((((u2 * u2) * (((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * -1.3333333333333333f)) + (((float) M_PI) + ((float) M_PI))) * u2);
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(Float32(Float32(u2 * u2) * Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * Float32(-1.3333333333333333))) + Float32(Float32(pi) + Float32(pi))) * u2))
end
\begin{array}{l}

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333\right) + \left(\pi + \pi\right)\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 57.9%

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

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

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    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.f3298.3

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

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
  5. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    2. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
  6. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
  7. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    2. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    3. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    4. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    5. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    6. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    7. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    8. pow2N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    9. pow3N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    10. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
    11. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    12. lift-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    13. count-2-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    14. lower-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    15. associate-*l*N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    16. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    17. lower-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  8. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
  9. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    2. lift-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\pi + \pi\right)\right) \cdot u2\right) \]
    3. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\mathsf{PI}\left(\right) + \pi\right)\right) \cdot u2\right) \]
    4. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    5. lift-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    6. count-2-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    7. lower-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. pow2N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    9. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    10. pow2N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    11. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    12. count-2-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    13. lift-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    14. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}\right) + \left(\pi + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    15. lift-PI.f3289.0

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333\right) + \left(\pi + \pi\right)\right) \cdot u2\right) \]
  10. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333\right) + \left(\pi + \pi\right)\right) \cdot u2\right) \]
  11. Add Preprocessing

Alternative 7: 89.0% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (- (log1p (- u1))))
  (* (fma (* u2 u2) (* (* (* PI PI) PI) -1.3333333333333333) (+ PI PI)) u2)))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * (fmaf((u2 * u2), (((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * -1.3333333333333333f), (((float) M_PI) + ((float) M_PI))) * u2);
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(fma(Float32(u2 * u2), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * Float32(-1.3333333333333333)), Float32(Float32(pi) + Float32(pi))) * u2))
end
\begin{array}{l}

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 57.9%

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

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

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    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.f3298.3

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

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
  5. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    2. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
  6. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
  7. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    2. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    3. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    4. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    5. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    6. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    7. lift-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    8. pow2N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    9. pow3N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    10. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
    11. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    12. lift-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    13. count-2-revN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    14. lower-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    15. associate-*l*N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    16. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    17. lower-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  8. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
  9. Add Preprocessing

Alternative 8: 89.0% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi\right) + \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (- (log1p (- u1))))
  (* (+ (fma (* (* u2 u2) (* (* PI PI) PI)) -1.3333333333333333 PI) PI) u2)))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * ((fmaf(((u2 * u2) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), -1.3333333333333333f, ((float) M_PI)) + ((float) M_PI)) * u2);
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(fma(Float32(Float32(u2 * u2) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(-1.3333333333333333), Float32(pi)) + Float32(pi)) * u2))
end
\begin{array}{l}

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi\right) + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 57.9%

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

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

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    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.f3298.3

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

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
  5. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    2. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
  6. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \left(\pi + \pi\right)\right) \cdot u2\right) \]
    2. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \left(\mathsf{PI}\left(\right) + \pi\right)\right) \cdot u2\right) \]
    3. lift-PI.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    4. lift-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot u2\right) \]
    5. associate-+r+N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \mathsf{PI}\left(\right)\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lower-+.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right)\right) \cdot \frac{-4}{3} + \mathsf{PI}\left(\right)\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  8. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi\right) + \pi\right) \cdot u2\right) \]
  9. Add Preprocessing

Alternative 9: 87.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\\ t_1 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_1 \leq 0.06499999761581421:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot t\_0\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0
         (*
          (fma (* u2 u2) (* (* (* PI PI) PI) -1.3333333333333333) (+ PI PI))
          u2))
        (t_1 (sqrt (- (log (- 1.0 u1))))))
   (if (<= t_1 0.06499999761581421)
     (* (sqrt (* u1 (- 1.0 (* -0.5 u1)))) t_0)
     (* t_1 t_0))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = fmaf((u2 * u2), (((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * -1.3333333333333333f), (((float) M_PI) + ((float) M_PI))) * u2;
	float t_1 = sqrtf(-logf((1.0f - u1)));
	float tmp;
	if (t_1 <= 0.06499999761581421f) {
		tmp = sqrtf((u1 * (1.0f - (-0.5f * u1)))) * t_0;
	} else {
		tmp = t_1 * t_0;
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = Float32(fma(Float32(u2 * u2), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * Float32(-1.3333333333333333)), Float32(Float32(pi) + Float32(pi))) * u2)
	t_1 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
	tmp = Float32(0.0)
	if (t_1 <= Float32(0.06499999761581421))
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) - Float32(Float32(-0.5) * u1)))) * t_0);
	else
		tmp = Float32(t_1 * t_0);
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\\
t_1 := \sqrt{-\log \left(1 - u1\right)}\\
\mathbf{if}\;t\_1 \leq 0.06499999761581421:\\
\;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot t\_0\\

\mathbf{else}:\\
\;\;\;\;t\_1 \cdot t\_0\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) < 0.0649999976

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      16. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      17. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    9. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    10. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. fp-cancel-sign-sub-invN/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 - \frac{-1}{2} \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(1 - \color{blue}{\frac{-1}{2} \cdot u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lower-*.f3280.0

        \[\leadsto \sqrt{u1 \cdot \left(1 - -0.5 \cdot \color{blue}{u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    11. Applied rewrites80.0%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 - -0.5 \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if 0.0649999976 < (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1))))

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      16. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      17. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    9. Step-by-step derivation
      1. lift-log1p.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 + \left(-u1\right)\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-neg.f32N/A

        \[\leadsto \sqrt{-\log \left(1 + \color{blue}{\left(\mathsf{neg}\left(u1\right)\right)}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. sub-flip-reverseN/A

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-log.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift--.f3253.8

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    10. Applied rewrites53.8%

      \[\leadsto \color{blue}{\sqrt{-\log \left(1 - u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 10: 87.9% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\pi \cdot \pi\right) \cdot \pi\\ \mathbf{if}\;u1 \leq 0.004000000189989805:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, t\_0 \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot t\_0, -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (* (* PI PI) PI)))
   (if (<= u1 0.004000000189989805)
     (*
      (sqrt (* u1 (- 1.0 (* -0.5 u1))))
      (* (fma (* u2 u2) (* t_0 -1.3333333333333333) (+ PI PI)) u2))
     (*
      (sqrt (- (log (- 1.0 u1))))
      (* (fma (* (* u2 u2) t_0) -1.3333333333333333 (+ PI PI)) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = (((float) M_PI) * ((float) M_PI)) * ((float) M_PI);
	float tmp;
	if (u1 <= 0.004000000189989805f) {
		tmp = sqrtf((u1 * (1.0f - (-0.5f * u1)))) * (fmaf((u2 * u2), (t_0 * -1.3333333333333333f), (((float) M_PI) + ((float) M_PI))) * u2);
	} else {
		tmp = sqrtf(-logf((1.0f - u1))) * (fmaf(((u2 * u2) * t_0), -1.3333333333333333f, (((float) M_PI) + ((float) M_PI))) * u2);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))
	tmp = Float32(0.0)
	if (u1 <= Float32(0.004000000189989805))
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) - Float32(Float32(-0.5) * u1)))) * Float32(fma(Float32(u2 * u2), Float32(t_0 * Float32(-1.3333333333333333)), Float32(Float32(pi) + Float32(pi))) * u2));
	else
		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * Float32(fma(Float32(Float32(u2 * u2) * t_0), Float32(-1.3333333333333333), Float32(Float32(pi) + Float32(pi))) * u2));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\pi \cdot \pi\right) \cdot \pi\\
\mathbf{if}\;u1 \leq 0.004000000189989805:\\
\;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, t\_0 \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot t\_0, -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.00400000019

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      16. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      17. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    9. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    10. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. fp-cancel-sign-sub-invN/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 - \frac{-1}{2} \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(1 - \color{blue}{\frac{-1}{2} \cdot u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lower-*.f3280.0

        \[\leadsto \sqrt{u1 \cdot \left(1 - -0.5 \cdot \color{blue}{u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    11. Applied rewrites80.0%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 - -0.5 \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if 0.00400000019 < u1

    1. Initial program 57.9%

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    4. Applied rewrites53.8%

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 11: 86.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.001500000013038516:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.001500000013038516)
   (*
    (sqrt (* u1 (- 1.0 (* -0.5 u1))))
    (* (fma (* u2 u2) (* (* (* PI PI) PI) -1.3333333333333333) (+ PI PI)) u2))
   (* (sqrt (- (log1p (- u1)))) (* (/ (+ PI PI) (* u2 u2)) (* (* u2 u2) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u1 <= 0.001500000013038516f) {
		tmp = sqrtf((u1 * (1.0f - (-0.5f * u1)))) * (fmaf((u2 * u2), (((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * -1.3333333333333333f), (((float) M_PI) + ((float) M_PI))) * u2);
	} else {
		tmp = sqrtf(-log1pf(-u1)) * (((((float) M_PI) + ((float) M_PI)) / (u2 * u2)) * ((u2 * u2) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u1 <= Float32(0.001500000013038516))
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) - Float32(Float32(-0.5) * u1)))) * Float32(fma(Float32(u2 * u2), Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * Float32(-1.3333333333333333)), Float32(Float32(pi) + Float32(pi))) * u2));
	else
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(Float32(Float32(pi) + Float32(pi)) / Float32(u2 * u2)) * Float32(Float32(u2 * u2) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.001500000013038516:\\
\;\;\;\;\sqrt{u1 \cdot \left(1 - -0.5 \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.00150000001

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      7. lift-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      8. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      9. pow3N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      10. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \pi\right) \cdot u2\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      12. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, \mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      13. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}, \frac{-4}{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      14. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) \cdot \frac{-4}{3} + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      15. associate-*l*N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \frac{-4}{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      16. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left({u2}^{2} \cdot \left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      17. lower-fma.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left({u2}^{2}, \frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    8. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    9. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
    10. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      2. fp-cancel-sign-sub-invN/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 - \frac{-1}{2} \cdot u1\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{u1 \cdot \left(1 - \color{blue}{\frac{-1}{2} \cdot u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      5. lower-*.f3280.0

        \[\leadsto \sqrt{u1 \cdot \left(1 - -0.5 \cdot \color{blue}{u1}\right)} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    11. Applied rewrites80.0%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 - -0.5 \cdot u1\right)}} \cdot \left(\mathsf{fma}\left(u2 \cdot u2, \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if 0.00150000001 < u1

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Taylor expanded in u2 around inf

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left({u2}^{3} \cdot \color{blue}{\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right)}\right) \]
    8. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot {u2}^{\color{blue}{3}}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot {u2}^{\color{blue}{3}}\right) \]
    9. Applied rewrites88.8%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(\pi \cdot \pi\right) \cdot \pi, -1.3333333333333333, \frac{\pi + \pi}{u2 \cdot u2}\right) \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot u2\right)}\right) \]
    10. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
    11. Step-by-step derivation
      1. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{\mathsf{PI}\left(\right)}{{u2}^{2}} + \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      2. div-addN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      3. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      4. lift-PI.f32N/A

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      6. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      7. lift-/.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      8. lift-*.f3281.3

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
    12. Applied rewrites81.3%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 12: 86.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.001500000013038516:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.001500000013038516)
   (*
    (sqrt (* (fma 0.5 u1 1.0) u1))
    (* (fma (* (* u2 u2) (* (* PI PI) PI)) -1.3333333333333333 (+ PI PI)) u2))
   (* (sqrt (- (log1p (- u1)))) (* (/ (+ PI PI) (* u2 u2)) (* (* u2 u2) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u1 <= 0.001500000013038516f) {
		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * (fmaf(((u2 * u2) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), -1.3333333333333333f, (((float) M_PI) + ((float) M_PI))) * u2);
	} else {
		tmp = sqrtf(-log1pf(-u1)) * (((((float) M_PI) + ((float) M_PI)) / (u2 * u2)) * ((u2 * u2) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u1 <= Float32(0.001500000013038516))
		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * Float32(fma(Float32(Float32(u2 * u2) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(-1.3333333333333333), Float32(Float32(pi) + Float32(pi))) * u2));
	else
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(Float32(Float32(pi) + Float32(pi)) / Float32(u2 * u2)) * Float32(Float32(u2 * u2) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.001500000013038516:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.00150000001

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Taylor expanded in u1 around 0

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

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

        \[\leadsto \sqrt{\left(1 + \frac{1}{2} \cdot u1\right) \cdot \color{blue}{u1}} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      3. +-commutativeN/A

        \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), \frac{-4}{3}, \pi + \pi\right) \cdot u2\right) \]
      4. lower-fma.f3280.0

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]
    9. Applied rewrites80.0%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right) \]

    if 0.00150000001 < u1

    1. Initial program 57.9%

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

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

        \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      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.f3298.3

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    5. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    6. Applied rewrites89.0%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
    7. Taylor expanded in u2 around inf

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left({u2}^{3} \cdot \color{blue}{\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right)}\right) \]
    8. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot {u2}^{\color{blue}{3}}\right) \]
      2. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot {\mathsf{PI}\left(\right)}^{3} + 2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot {u2}^{\color{blue}{3}}\right) \]
    9. Applied rewrites88.8%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\mathsf{fma}\left(\left(\pi \cdot \pi\right) \cdot \pi, -1.3333333333333333, \frac{\pi + \pi}{u2 \cdot u2}\right) \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot u2\right)}\right) \]
    10. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(2 \cdot \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
    11. Step-by-step derivation
      1. count-2-revN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{\mathsf{PI}\left(\right)}{{u2}^{2}} + \frac{\mathsf{PI}\left(\right)}{{u2}^{2}}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      2. div-addN/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      3. lift-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      4. lift-PI.f32N/A

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{{u2}^{2}} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      6. pow2N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      7. lift-/.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
      8. lift-*.f3281.3

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
    12. Applied rewrites81.3%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\frac{\pi + \pi}{u2 \cdot u2} \cdot \left(\left(u2 \cdot u2\right) \cdot u2\right)\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 13: 81.4% accurate, 2.3× speedup?

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

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\pi + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 57.9%

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

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

      \[\leadsto \sqrt{-\color{blue}{\log \left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    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.f3298.3

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

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

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
  5. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
    2. lower-*.f32N/A

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{u2}\right) \]
  6. Applied rewrites89.0%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot u2\right)} \]
  7. Taylor expanded in u2 around 0

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
  8. Step-by-step derivation
    1. count-2-revN/A

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\pi + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    4. lift-PI.f3281.4

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\pi + \pi\right) \cdot u2\right) \]
  9. Applied rewrites81.4%

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

Alternative 14: 77.0% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ \mathbf{if}\;t\_0 \leq -0.00011100000119768083:\\ \;\;\;\;\left(\sqrt{-t\_0} \cdot \left(\pi + \pi\right)\right) \cdot u2\\ \mathbf{else}:\\ \;\;\;\;\left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (log (- 1.0 u1))))
   (if (<= t_0 -0.00011100000119768083)
     (* (* (sqrt (- t_0)) (+ PI PI)) u2)
     (* (* 2.0 (* PI (sqrt u1))) u2))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = logf((1.0f - u1));
	float tmp;
	if (t_0 <= -0.00011100000119768083f) {
		tmp = (sqrtf(-t_0) * (((float) M_PI) + ((float) M_PI))) * u2;
	} else {
		tmp = (2.0f * (((float) M_PI) * sqrtf(u1))) * u2;
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = log(Float32(Float32(1.0) - u1))
	tmp = Float32(0.0)
	if (t_0 <= Float32(-0.00011100000119768083))
		tmp = Float32(Float32(sqrt(Float32(-t_0)) * Float32(Float32(pi) + Float32(pi))) * u2);
	else
		tmp = Float32(Float32(Float32(2.0) * Float32(Float32(pi) * sqrt(u1))) * u2);
	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(-0.00011100000119768083))
		tmp = (sqrt(-t_0) * (single(pi) + single(pi))) * u2;
	else
		tmp = (single(2.0) * (single(pi) * sqrt(u1))) * u2;
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \log \left(1 - u1\right)\\
\mathbf{if}\;t\_0 \leq -0.00011100000119768083:\\
\;\;\;\;\left(\sqrt{-t\_0} \cdot \left(\pi + \pi\right)\right) \cdot u2\\

\mathbf{else}:\\
\;\;\;\;\left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -1.11000001e-4

    1. Initial program 57.9%

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

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

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

        \[\leadsto \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) + 2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot \color{blue}{u2} \]
    4. Applied rewrites53.7%

      \[\leadsto \color{blue}{\mathsf{fma}\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right), \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}, \left(\pi + \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2} \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot u2 \]
    6. Step-by-step derivation
      1. associate-*r*N/A

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \cdot u2 \]
      13. lift-PI.f3250.7

        \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
    7. Applied rewrites50.7%

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

    if -1.11000001e-4 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

    1. Initial program 57.9%

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

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

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

        \[\leadsto \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) + 2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot \color{blue}{u2} \]
    4. Applied rewrites53.7%

      \[\leadsto \color{blue}{\mathsf{fma}\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right), \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}, \left(\pi + \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2} \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot u2 \]
    6. Step-by-step derivation
      1. associate-*r*N/A

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \cdot u2 \]
      13. lift-PI.f3250.7

        \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
    7. Applied rewrites50.7%

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

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

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

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

        \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2 \]
      4. lift-sqrt.f3266.3

        \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2 \]
    10. Applied rewrites66.3%

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

Alternative 15: 66.3% accurate, 4.5× speedup?

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

\\
\left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2
\end{array}
Derivation
  1. Initial program 57.9%

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

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

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

      \[\leadsto \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot \left({\mathsf{PI}\left(\right)}^{3} \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) + 2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot \color{blue}{u2} \]
  4. Applied rewrites53.7%

    \[\leadsto \color{blue}{\mathsf{fma}\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right), \left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}, \left(\pi + \pi\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot u2} \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \cdot u2 \]
  6. Step-by-step derivation
    1. associate-*r*N/A

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \cdot u2 \]
    13. lift-PI.f3250.7

      \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
  7. Applied rewrites50.7%

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

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

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

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

      \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2 \]
    4. lift-sqrt.f3266.3

      \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2 \]
  10. Applied rewrites66.3%

    \[\leadsto \left(2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \cdot u2 \]
  11. Add Preprocessing

Reproduce

?
herbie shell --seed 2025139 
(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))))