Beckmann Sample, near normal, slope_y

Percentage Accurate: 57.3% → 98.4%
Time: 5.6s
Alternatives: 11
Speedup: 4.7×

Specification

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

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

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 11 alternatives:

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

Initial Program: 57.3% accurate, 1.0× speedup?

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

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

Alternative 1: 98.4% accurate, 0.5× speedup?

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

\\
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(\left(\sin \left(\left(-\pi\right) \cdot \left(u2 - 0.5\right)\right) \cdot \sin \left(\pi \cdot u2\right)\right) \cdot 2\right)
\end{array}
Derivation
  1. Initial program 57.3%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(\sin \left(u2 \cdot \pi\right) \cdot \sin \left(\mathsf{fma}\left(-\pi, u2, \pi \cdot \color{blue}{\frac{1}{2}}\right)\right)\right)\right) \]
    13. lower-*.f3298.4

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(\sin \left(u2 \cdot \pi\right) \cdot \sin \left(\mathsf{fma}\left(-\pi, u2, \color{blue}{\pi \cdot 0.5}\right)\right)\right)\right) \]
  7. Applied rewrites98.4%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(\sin \left(u2 \cdot \pi\right) \cdot \color{blue}{\sin \left(\mathsf{fma}\left(-\pi, u2, \pi \cdot 0.5\right)\right)}\right)\right) \]
  8. Step-by-step derivation
    1. lift-*.f32N/A

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\left(\sin \left(u2 \cdot \pi\right) \cdot \sin \left(\mathsf{fma}\left(-\pi, u2, \pi \cdot \frac{1}{2}\right)\right)\right) \cdot 2\right)} \]
    3. lower-*.f3298.4

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\left(\sin \left(u2 \cdot \pi\right) \cdot \sin \left(\mathsf{fma}\left(-\pi, u2, \pi \cdot 0.5\right)\right)\right) \cdot 2\right)} \]
  9. Applied rewrites98.4%

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

Alternative 2: 98.4% 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 57.3%

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
    3. lift-+.f3298.4

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

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

Alternative 3: 97.0% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(1 - u1\right)\\ t_1 := \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \leq -0.0035000001080334187:\\ \;\;\;\;\sqrt{-t\_0} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot t\_1\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (log (- 1.0 u1))) (t_1 (sin (* (+ PI PI) u2))))
   (if (<= t_0 -0.0035000001080334187)
     (* (sqrt (- t_0)) t_1)
     (* (sqrt (* u1 (+ 1.0 (* 0.5 u1)))) t_1))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = logf((1.0f - u1));
	float t_1 = sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	float tmp;
	if (t_0 <= -0.0035000001080334187f) {
		tmp = sqrtf(-t_0) * t_1;
	} else {
		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * t_1;
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = log(Float32(Float32(1.0) - u1))
	t_1 = sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2))
	tmp = Float32(0.0)
	if (t_0 <= Float32(-0.0035000001080334187))
		tmp = Float32(sqrt(Float32(-t_0)) * t_1);
	else
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * t_1);
	end
	return tmp
end
function tmp_2 = code(cosTheta_i, u1, u2)
	t_0 = log((single(1.0) - u1));
	t_1 = sin(((single(pi) + single(pi)) * u2));
	tmp = single(0.0);
	if (t_0 <= single(-0.0035000001080334187))
		tmp = sqrt(-t_0) * t_1;
	else
		tmp = sqrt((u1 * (single(1.0) + (single(0.5) * u1)))) * t_1;
	end
	tmp_2 = 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{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot t\_1\\


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

    1. Initial program 57.3%

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      3. lower-+.f3257.3

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

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

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

    1. Initial program 57.3%

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      3. lift-+.f3298.4

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

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

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

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

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. lower-*.f3288.4

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites88.4%

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

Alternative 4: 94.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.0001900000061141327:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.0001900000061141327)
   (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI)))
   (* (sqrt (* u1 (+ 1.0 (* 0.5 u1)))) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.0001900000061141327f) {
		tmp = sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
	} else {
		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.0001900000061141327))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))));
	else
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.0001900000061141327:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 1.90000006e-4

    1. Initial program 57.3%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3281.7

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites81.7%

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

    if 1.90000006e-4 < u2

    1. Initial program 57.3%

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      3. lift-+.f3298.4

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

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

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

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

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
      3. lower-*.f3288.4

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    8. Applied rewrites88.4%

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

Alternative 5: 90.4% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.0004199999966658652:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.0004199999966658652)
   (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI)))
   (* (sqrt u1) (sin (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.0004199999966658652f) {
		tmp = sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
	} else {
		tmp = sqrtf(u1) * sinf(((((float) M_PI) + ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.0004199999966658652))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))));
	else
		tmp = Float32(sqrt(u1) * sin(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.0004199999966658652:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 4.19999997e-4

    1. Initial program 57.3%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3281.7

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites81.7%

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

    if 4.19999997e-4 < u2

    1. Initial program 57.3%

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      3. lift-+.f3298.4

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

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

      \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(\pi + \pi\right) \cdot u2\right) \]
    7. Step-by-step derivation
      1. Applied rewrites76.9%

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

    Alternative 6: 81.7% accurate, 2.3× speedup?

    \[\begin{array}{l} \\ \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (* (sqrt (- (log1p (- u1)))) (* 2.0 (* u2 PI))))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf(-log1pf(-u1)) * (2.0f * (u2 * ((float) M_PI)));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 57.3%

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
      3. lower-PI.f3281.7

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
    6. Applied rewrites81.7%

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

    Alternative 7: 77.2% accurate, 2.2× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\ \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\ \mathbf{else}:\\ \;\;\;\;\left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 9.999999747378752e-5)
       (* (+ u2 u2) (* (* u1 (sqrt (/ 1.0 u1))) PI))
       (* (* u2 (+ PI PI)) (sqrt (- (log (- 1.0 u1)))))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 9.999999747378752e-5f) {
    		tmp = (u2 + u2) * ((u1 * sqrtf((1.0f / u1))) * ((float) M_PI));
    	} else {
    		tmp = (u2 * (((float) M_PI) + ((float) M_PI))) * sqrtf(-logf((1.0f - u1)));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(9.999999747378752e-5))
    		tmp = Float32(Float32(u2 + u2) * Float32(Float32(u1 * sqrt(Float32(Float32(1.0) / u1))) * Float32(pi)));
    	else
    		tmp = Float32(Float32(u2 * Float32(Float32(pi) + Float32(pi))) * sqrt(Float32(-log(Float32(Float32(1.0) - u1)))));
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	tmp = single(0.0);
    	if (u1 <= single(9.999999747378752e-5))
    		tmp = (u2 + u2) * ((u1 * sqrt((single(1.0) / u1))) * single(pi));
    	else
    		tmp = (u2 * (single(pi) + single(pi))) * sqrt(-log((single(1.0) - u1)));
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\
    \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 9.99999975e-5

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
        3. lower-sqrt.f3266.8

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      7. Applied rewrites66.8%

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

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

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        6. lower-+.f3266.8

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
        9. lower-*.f3266.8

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. Applied rewrites66.8%

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
        3. lower-/.f3266.7

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
      12. Applied rewrites66.7%

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

      if 9.99999975e-5 < u1

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \left(\left(2 \cdot \pi\right) \cdot u2\right) \cdot \sqrt{\color{blue}{-\log \left(1 - u1\right)}} \]
        11. lower-*.f3250.5

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

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

          \[\leadsto \left(u2 \cdot \left(2 \cdot \pi\right)\right) \cdot \sqrt{\color{blue}{-\log \left(1 - u1\right)}} \]
        14. lower-*.f3250.5

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

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

          \[\leadsto \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
        17. lift-+.f3250.5

          \[\leadsto \left(u2 \cdot \left(\pi + \pi\right)\right) \cdot \sqrt{-\log \left(1 - u1\right)} \]
      6. Applied rewrites50.5%

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

    Alternative 8: 77.2% accurate, 2.2× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\ \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(u2 + u2\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot \pi\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 9.999999747378752e-5)
       (* (+ u2 u2) (* (* u1 (sqrt (/ 1.0 u1))) PI))
       (* (* (+ u2 u2) (sqrt (- (log (- 1.0 u1))))) PI)))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 9.999999747378752e-5f) {
    		tmp = (u2 + u2) * ((u1 * sqrtf((1.0f / u1))) * ((float) M_PI));
    	} else {
    		tmp = ((u2 + u2) * sqrtf(-logf((1.0f - u1)))) * ((float) M_PI);
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(9.999999747378752e-5))
    		tmp = Float32(Float32(u2 + u2) * Float32(Float32(u1 * sqrt(Float32(Float32(1.0) / u1))) * Float32(pi)));
    	else
    		tmp = Float32(Float32(Float32(u2 + u2) * sqrt(Float32(-log(Float32(Float32(1.0) - u1))))) * Float32(pi));
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	tmp = single(0.0);
    	if (u1 <= single(9.999999747378752e-5))
    		tmp = (u2 + u2) * ((u1 * sqrt((single(1.0) / u1))) * single(pi));
    	else
    		tmp = ((u2 + u2) * sqrt(-log((single(1.0) - u1)))) * single(pi);
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\
    \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(\left(u2 + u2\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot \pi\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 9.99999975e-5

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
        3. lower-sqrt.f3266.8

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      7. Applied rewrites66.8%

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

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

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        6. lower-+.f3266.8

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
        9. lower-*.f3266.8

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. Applied rewrites66.8%

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
        3. lower-/.f3266.7

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
      12. Applied rewrites66.7%

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

      if 9.99999975e-5 < u1

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

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

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

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

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

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

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

          \[\leadsto \left(\left(u2 + u2\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot \pi \]
        10. lower-+.f3250.5

          \[\leadsto \left(\left(u2 + u2\right) \cdot \sqrt{-\log \left(1 - u1\right)}\right) \cdot \pi \]
      6. Applied rewrites50.5%

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

    Alternative 9: 77.1% accurate, 2.2× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\ \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 9.999999747378752e-5)
       (* (+ u2 u2) (* (* u1 (sqrt (/ 1.0 u1))) PI))
       (* (* (sqrt (- (log (- 1.0 u1)))) (+ PI PI)) u2)))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 9.999999747378752e-5f) {
    		tmp = (u2 + u2) * ((u1 * sqrtf((1.0f / u1))) * ((float) M_PI));
    	} else {
    		tmp = (sqrtf(-logf((1.0f - u1))) * (((float) M_PI) + ((float) M_PI))) * u2;
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(9.999999747378752e-5))
    		tmp = Float32(Float32(u2 + u2) * Float32(Float32(u1 * sqrt(Float32(Float32(1.0) / u1))) * Float32(pi)));
    	else
    		tmp = Float32(Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * Float32(Float32(pi) + Float32(pi))) * u2);
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	tmp = single(0.0);
    	if (u1 <= single(9.999999747378752e-5))
    		tmp = (u2 + u2) * ((u1 * sqrt((single(1.0) / u1))) * single(pi));
    	else
    		tmp = (sqrt(-log((single(1.0) - u1))) * (single(pi) + single(pi))) * u2;
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 9.999999747378752 \cdot 10^{-5}:\\
    \;\;\;\;\left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 9.99999975e-5

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
        3. lower-sqrt.f3266.8

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      7. Applied rewrites66.8%

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

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

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
        6. lower-+.f3266.8

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
        9. lower-*.f3266.8

          \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. Applied rewrites66.8%

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

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

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

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
        3. lower-/.f3266.7

          \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
      12. Applied rewrites66.7%

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

      if 9.99999975e-5 < u1

      1. Initial program 57.3%

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

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

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

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

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

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

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

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

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
        8. lower--.f3250.5

          \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      4. Applied rewrites50.5%

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(2 \cdot \pi\right)\right) \cdot u2 \]
        12. lower-*.f3250.5

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

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

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
        15. lift-+.f3250.5

          \[\leadsto \left(\sqrt{-\log \left(1 - u1\right)} \cdot \left(\pi + \pi\right)\right) \cdot u2 \]
      6. Applied rewrites50.5%

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

    Alternative 10: 66.8% accurate, 3.0× speedup?

    \[\begin{array}{l} \\ \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (* (+ u2 u2) (* (* u1 (sqrt (/ 1.0 u1))) PI)))
    float code(float cosTheta_i, float u1, float u2) {
    	return (u2 + u2) * ((u1 * sqrtf((1.0f / u1))) * ((float) M_PI));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(Float32(u2 + u2) * Float32(Float32(u1 * sqrt(Float32(Float32(1.0) / u1))) * Float32(pi)))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = (u2 + u2) * ((u1 * sqrt((single(1.0) / u1))) * single(pi));
    end
    
    \begin{array}{l}
    
    \\
    \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right)
    \end{array}
    
    Derivation
    1. Initial program 57.3%

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

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

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

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

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

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      8. lower--.f3250.5

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
    4. Applied rewrites50.5%

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      3. lower-sqrt.f3266.8

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
    7. Applied rewrites66.8%

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

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

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

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      6. lower-+.f3266.8

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. lower-*.f3266.8

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
    9. Applied rewrites66.8%

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

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
      3. lower-/.f3266.7

        \[\leadsto \left(u2 + u2\right) \cdot \left(\left(u1 \cdot \sqrt{\frac{1}{u1}}\right) \cdot \pi\right) \]
    12. Applied rewrites66.7%

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

    Alternative 11: 66.7% accurate, 4.7× speedup?

    \[\begin{array}{l} \\ \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (* (+ u2 u2) (* (sqrt u1) PI)))
    float code(float cosTheta_i, float u1, float u2) {
    	return (u2 + u2) * (sqrtf(u1) * ((float) M_PI));
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(Float32(u2 + u2) * Float32(sqrt(u1) * Float32(pi)))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = (u2 + u2) * (sqrt(u1) * single(pi));
    end
    
    \begin{array}{l}
    
    \\
    \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right)
    \end{array}
    
    Derivation
    1. Initial program 57.3%

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

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

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

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

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

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
      8. lower--.f3250.5

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
    4. Applied rewrites50.5%

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

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

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

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
      3. lower-sqrt.f3266.8

        \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
    7. Applied rewrites66.8%

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

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

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

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
      6. lower-+.f3266.8

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

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

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
      9. lower-*.f3266.8

        \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
    9. Applied rewrites66.8%

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

    Reproduce

    ?
    herbie shell --seed 2025159 
    (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))))