Beckmann Sample, near normal, slope_x

Percentage Accurate: 57.5% → 98.7%
Time: 5.8s
Alternatives: 22
Speedup: 11.4×

Specification

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

\\
\sqrt{-\log \left(1 - u1\right)} \cdot \cos \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 22 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: 57.5% accurate, 1.0× speedup?

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

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

Alternative 1: 98.7% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.01899999938905239:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.01899999938905239)
   (*
    (fma
     (fma
      (/ (fma 0.5 (* (- 0.25 (/ 0.0625 u1)) u1) 0.16666666666666666) (sqrt u1))
      u1
      (/ 0.25 (sqrt u1)))
     (* u1 u1)
     (sqrt u1))
    (sin (fma (+ PI PI) (- u2) (/ PI 2.0))))
   (/ (cos (* (+ PI PI) u2)) (pow (- (log (- 1.0 u1))) -0.5))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u1 <= 0.01899999938905239f) {
		tmp = fmaf(fmaf((fmaf(0.5f, ((0.25f - (0.0625f / u1)) * u1), 0.16666666666666666f) / sqrtf(u1)), u1, (0.25f / sqrtf(u1))), (u1 * u1), sqrtf(u1)) * sinf(fmaf((((float) M_PI) + ((float) M_PI)), -u2, (((float) M_PI) / 2.0f)));
	} else {
		tmp = cosf(((((float) M_PI) + ((float) M_PI)) * u2)) / powf(-logf((1.0f - u1)), -0.5f);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u1 <= Float32(0.01899999938905239))
		tmp = Float32(fma(fma(Float32(fma(Float32(0.5), Float32(Float32(Float32(0.25) - Float32(Float32(0.0625) / u1)) * u1), Float32(0.16666666666666666)) / sqrt(u1)), u1, Float32(Float32(0.25) / sqrt(u1))), Float32(u1 * u1), sqrt(u1)) * sin(fma(Float32(Float32(pi) + Float32(pi)), Float32(-u2), Float32(Float32(pi) / Float32(2.0)))));
	else
		tmp = Float32(cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)) / (Float32(-log(Float32(Float32(1.0) - u1))) ^ Float32(-0.5)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.01899999938905239:\\
\;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.0189999994

    1. Initial program 57.5%

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

      \[\leadsto \color{blue}{\left(\sqrt{u1} + {u1}^{2} \cdot \left(u1 \cdot \left(\frac{1}{2} \cdot \frac{u1 \cdot \left(\frac{1}{4} - \frac{1}{16} \cdot \frac{1}{{\left(\sqrt{u1}\right)}^{2}}\right)}{\sqrt{u1}} + \frac{1}{6} \cdot \frac{1}{\sqrt{u1}}\right) + \frac{1}{4} \cdot \frac{1}{\sqrt{u1}}\right)\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Applied rewrites93.3%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. lift-cos.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      2. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      3. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot u2\right) \]
      5. cos-neg-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\mathsf{neg}\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\right)} \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right)\right) \]
      8. sin-+PI/2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
      9. lower-sin.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
      10. lift-/.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\color{blue}{\pi}}{2}\right) \]
      12. lower-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\pi}{2}\right)} \]
    5. Applied rewrites93.4%

      \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
    6. Step-by-step derivation
      1. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
      2. lift-neg.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{neg}\left(\left(\pi + \pi\right) \cdot u2\right)\right)} + \frac{\pi}{2}\right) \]
      3. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(\color{blue}{\left(\pi + \pi\right) \cdot u2}\right)\right) + \frac{\pi}{2}\right) \]
      4. distribute-rgt-neg-inN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\pi + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right)} + \frac{\pi}{2}\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{PI}\left(\right) + \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      7. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      8. count-2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      9. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(2 \cdot \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right)} \]
      10. count-2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      11. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      12. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\pi} + \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      13. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \color{blue}{\pi}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      14. lower-neg.f3293.5

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, \color{blue}{-u2}, \frac{\pi}{2}\right)\right) \]
    7. Applied rewrites93.5%

      \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)} \]

    if 0.0189999994 < u1

    1. Initial program 57.5%

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

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

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

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

        \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. lower-fma.f3288.1

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Applied rewrites88.1%

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

        \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. pow1/2N/A

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

        \[\leadsto {\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\color{blue}{\left(\mathsf{neg}\left(\frac{-1}{2}\right)\right)}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. pow-negN/A

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

        \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\frac{-1}{2}}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. lower-pow.f3287.8

        \[\leadsto \frac{1}{\color{blue}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Applied rewrites87.8%

      \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    7. Taylor expanded in u2 around inf

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

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

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

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

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

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

        \[\leadsto \frac{\cos \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\frac{-1}{2}}} \]
      7. associate-*l*N/A

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

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

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

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

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

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

        \[\leadsto \frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\color{blue}{\frac{-1}{2}}}} \]
    9. Applied rewrites57.5%

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

Alternative 2: 98.7% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.012000000104308128:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\frac{0.13541666666666666}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.012000000104308128)
   (*
    (fma
     (fma (/ 0.13541666666666666 (sqrt u1)) u1 (/ 0.25 (sqrt u1)))
     (* u1 u1)
     (sqrt u1))
    (sin (fma (+ PI PI) (- u2) (/ PI 2.0))))
   (/ (cos (* (+ PI PI) u2)) (pow (- (log (- 1.0 u1))) -0.5))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u1 <= 0.012000000104308128f) {
		tmp = fmaf(fmaf((0.13541666666666666f / sqrtf(u1)), u1, (0.25f / sqrtf(u1))), (u1 * u1), sqrtf(u1)) * sinf(fmaf((((float) M_PI) + ((float) M_PI)), -u2, (((float) M_PI) / 2.0f)));
	} else {
		tmp = cosf(((((float) M_PI) + ((float) M_PI)) * u2)) / powf(-logf((1.0f - u1)), -0.5f);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u1 <= Float32(0.012000000104308128))
		tmp = Float32(fma(fma(Float32(Float32(0.13541666666666666) / sqrt(u1)), u1, Float32(Float32(0.25) / sqrt(u1))), Float32(u1 * u1), sqrt(u1)) * sin(fma(Float32(Float32(pi) + Float32(pi)), Float32(-u2), Float32(Float32(pi) / Float32(2.0)))));
	else
		tmp = Float32(cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)) / (Float32(-log(Float32(Float32(1.0) - u1))) ^ Float32(-0.5)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.012000000104308128:\\
\;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\frac{0.13541666666666666}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.0120000001

    1. Initial program 57.5%

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

      \[\leadsto \color{blue}{\left(\sqrt{u1} + {u1}^{2} \cdot \left(u1 \cdot \left(\frac{1}{2} \cdot \frac{u1 \cdot \left(\frac{1}{4} - \frac{1}{16} \cdot \frac{1}{{\left(\sqrt{u1}\right)}^{2}}\right)}{\sqrt{u1}} + \frac{1}{6} \cdot \frac{1}{\sqrt{u1}}\right) + \frac{1}{4} \cdot \frac{1}{\sqrt{u1}}\right)\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Applied rewrites93.3%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Step-by-step derivation
      1. lift-cos.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      2. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
      3. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) \]
      4. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot u2\right) \]
      5. cos-neg-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\mathsf{neg}\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\right)} \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right)\right) \]
      8. sin-+PI/2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
      9. lower-sin.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
      10. lift-/.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right) \]
      11. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\color{blue}{\pi}}{2}\right) \]
      12. lower-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\pi}{2}\right)} \]
    5. Applied rewrites93.4%

      \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
    6. Step-by-step derivation
      1. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
      2. lift-neg.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{neg}\left(\left(\pi + \pi\right) \cdot u2\right)\right)} + \frac{\pi}{2}\right) \]
      3. lift-*.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(\color{blue}{\left(\pi + \pi\right) \cdot u2}\right)\right) + \frac{\pi}{2}\right) \]
      4. distribute-rgt-neg-inN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\pi + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right)} + \frac{\pi}{2}\right) \]
      5. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      6. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{PI}\left(\right) + \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      7. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      8. count-2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
      9. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(2 \cdot \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right)} \]
      10. count-2-revN/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      11. lift-+.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      12. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\pi} + \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      13. lift-PI.f32N/A

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \color{blue}{\pi}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
      14. lower-neg.f3293.5

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, \color{blue}{-u2}, \frac{\pi}{2}\right)\right) \]
    7. Applied rewrites93.5%

      \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)} \]
    8. Taylor expanded in u1 around 0

      \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\frac{13}{96}}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]
    9. Step-by-step derivation
      1. Applied rewrites92.1%

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{0.13541666666666666}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]

      if 0.0120000001 < u1

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

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

          \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. pow1/2N/A

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

          \[\leadsto {\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\color{blue}{\left(\mathsf{neg}\left(\frac{-1}{2}\right)\right)}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. pow-negN/A

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

          \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\frac{-1}{2}}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        6. lower-pow.f3287.8

          \[\leadsto \frac{1}{\color{blue}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Applied rewrites87.8%

        \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      7. Taylor expanded in u2 around inf

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

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

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

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

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

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

          \[\leadsto \frac{\cos \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\frac{-1}{2}}} \]
        7. associate-*l*N/A

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

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

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

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

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

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

          \[\leadsto \frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\color{blue}{\frac{-1}{2}}}} \]
      9. Applied rewrites57.5%

        \[\leadsto \color{blue}{\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}} \]
    10. Recombined 2 regimes into one program.
    11. Add Preprocessing

    Alternative 3: 98.6% accurate, 0.7× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.029999999329447746:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 0.029999999329447746)
       (*
        (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))
        (cos (* (* 2.0 PI) u2)))
       (/ (cos (* (+ PI PI) u2)) (pow (- (log (- 1.0 u1))) -0.5))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 0.029999999329447746f) {
    		tmp = sqrtf((fmaf(fmaf(fmaf(0.25f, u1, 0.3333333333333333f), u1, 0.5f), u1, 1.0f) * u1)) * cosf(((2.0f * ((float) M_PI)) * u2));
    	} else {
    		tmp = cosf(((((float) M_PI) + ((float) M_PI)) * u2)) / powf(-logf((1.0f - u1)), -0.5f);
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(0.029999999329447746))
    		tmp = Float32(sqrt(Float32(fma(fma(fma(Float32(0.25), u1, Float32(0.3333333333333333)), u1, Float32(0.5)), u1, Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)));
    	else
    		tmp = Float32(cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)) / (Float32(-log(Float32(Float32(1.0) - u1))) ^ Float32(-0.5)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 0.029999999329447746:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 0.0299999993

      1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\frac{1}{4} \cdot u1 + \frac{1}{3}, u1, \frac{1}{2}\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        10. lower-fma.f3293.5

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites93.5%

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

      if 0.0299999993 < u1

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

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

          \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. pow1/2N/A

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

          \[\leadsto {\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\color{blue}{\left(\mathsf{neg}\left(\frac{-1}{2}\right)\right)}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. pow-negN/A

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

          \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1\right)}^{\frac{-1}{2}}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        6. lower-pow.f3287.8

          \[\leadsto \frac{1}{\color{blue}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Applied rewrites87.8%

        \[\leadsto \color{blue}{\frac{1}{{\left(\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1\right)}^{-0.5}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      7. Taylor expanded in u2 around inf

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

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

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

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

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

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

          \[\leadsto \frac{\cos \left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\frac{-1}{2}}} \]
        7. associate-*l*N/A

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

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

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

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

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

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

          \[\leadsto \frac{\cos \left(\left(\pi + \pi\right) \cdot u2\right)}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\color{blue}{\frac{-1}{2}}}} \]
      9. Applied rewrites57.5%

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

    Alternative 4: 98.5% accurate, 0.8× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.029999999329447746:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 0.029999999329447746)
       (*
        (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))
        (cos (* (* 2.0 PI) u2)))
       (* (sqrt (- (log (- 1.0 u1)))) (cos (* (+ PI PI) u2)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 0.029999999329447746f) {
    		tmp = sqrtf((fmaf(fmaf(fmaf(0.25f, u1, 0.3333333333333333f), u1, 0.5f), u1, 1.0f) * u1)) * cosf(((2.0f * ((float) M_PI)) * u2));
    	} else {
    		tmp = sqrtf(-logf((1.0f - u1))) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(0.029999999329447746))
    		tmp = Float32(sqrt(Float32(fma(fma(fma(Float32(0.25), u1, Float32(0.3333333333333333)), u1, Float32(0.5)), u1, Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)));
    	else
    		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 0.029999999329447746:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 0.0299999993

      1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\frac{1}{4} \cdot u1 + \frac{1}{3}, u1, \frac{1}{2}\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        10. lower-fma.f3293.5

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites93.5%

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

      if 0.0299999993 < u1

      1. Initial program 57.5%

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

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lift-PI.f3257.5

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
      3. Applied rewrites57.5%

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

    Alternative 5: 98.4% accurate, 0.9× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{if}\;u1 \leq 0.012000000104308128:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (cos (* (+ PI PI) u2))))
       (if (<= u1 0.012000000104308128)
         (* (sqrt (* (fma (fma 0.3333333333333333 u1 0.5) u1 1.0) u1)) t_0)
         (* (sqrt (- (log (- 1.0 u1)))) t_0))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = cosf(((((float) M_PI) + ((float) M_PI)) * u2));
    	float tmp;
    	if (u1 <= 0.012000000104308128f) {
    		tmp = sqrtf((fmaf(fmaf(0.3333333333333333f, u1, 0.5f), u1, 1.0f) * u1)) * t_0;
    	} else {
    		tmp = sqrtf(-logf((1.0f - u1))) * t_0;
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2))
    	tmp = Float32(0.0)
    	if (u1 <= Float32(0.012000000104308128))
    		tmp = Float32(sqrt(Float32(fma(fma(Float32(0.3333333333333333), u1, Float32(0.5)), u1, Float32(1.0)) * u1)) * t_0);
    	else
    		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * t_0);
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
    \mathbf{if}\;u1 \leq 0.012000000104308128:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot t\_0\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 0.0120000001

      1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\mathsf{fma}\left(u2, \pi + \pi, \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right)\right) \]
        14. lift-PI.f3257.5

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\mathsf{fma}\left(u2, \pi + \pi, \frac{\color{blue}{\pi}}{2}\right)\right) \]
      3. Applied rewrites57.5%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\sin \left(\mathsf{fma}\left(u2, \pi + \pi, \frac{\pi}{2}\right)\right)} \]
      4. Taylor expanded in u1 around 0

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

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

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

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

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

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

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{3} \cdot u1 + \frac{1}{2}, u1, 1\right) \cdot u1} \cdot \sin \left(\mathsf{fma}\left(u2, \pi + \pi, \frac{\pi}{2}\right)\right) \]
        7. lower-fma.f3291.6

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \sin \left(\mathsf{fma}\left(u2, \pi + \pi, \frac{\pi}{2}\right)\right) \]
      6. Applied rewrites91.6%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}} \cdot \sin \left(\mathsf{fma}\left(u2, \pi + \pi, \frac{\pi}{2}\right)\right) \]
      7. Applied rewrites91.8%

        \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)} \]

      if 0.0120000001 < u1

      1. Initial program 57.5%

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

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lift-PI.f3257.5

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
      3. Applied rewrites57.5%

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

    Alternative 6: 97.4% accurate, 0.9× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.0026000000070780516:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u1 0.0026000000070780516)
       (* (sqrt (fma (* u1 u1) 0.5 u1)) (cos (* (* 2.0 PI) u2)))
       (* (sqrt (- (log (- 1.0 u1)))) (cos (* (+ PI PI) u2)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u1 <= 0.0026000000070780516f) {
    		tmp = sqrtf(fmaf((u1 * u1), 0.5f, u1)) * cosf(((2.0f * ((float) M_PI)) * u2));
    	} else {
    		tmp = sqrtf(-logf((1.0f - u1))) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u1 <= Float32(0.0026000000070780516))
    		tmp = Float32(sqrt(fma(Float32(u1 * u1), Float32(0.5), u1)) * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)));
    	else
    		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u1 \leq 0.0026000000070780516:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u1 < 0.00260000001

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. Taylor expanded in u1 around inf

        \[\leadsto \sqrt{{u1}^{2} \cdot \color{blue}{\left(\frac{1}{2} + \frac{1}{u1}\right)}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Step-by-step derivation
        1. distribute-lft-inN/A

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{2} \cdot \color{blue}{\frac{1}{u1}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. inv-powN/A

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{2} \cdot {u1}^{-1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. pow-prod-upN/A

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

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. unpow1N/A

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

          \[\leadsto \sqrt{\mathsf{fma}\left({u1}^{2}, \frac{1}{2}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        7. pow2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, \frac{1}{2}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        8. lift-*.f3288.2

          \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      7. Applied rewrites88.2%

        \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, \color{blue}{0.5}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]

      if 0.00260000001 < u1

      1. Initial program 57.5%

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

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lift-PI.f3257.5

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
      3. Applied rewrites57.5%

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

    Alternative 7: 96.1% accurate, 0.5× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.09399999678134918:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (sqrt (- (log (- 1.0 u1))))) (t_1 (cos (* (* 2.0 PI) u2))))
       (if (<= (* t_0 t_1) 0.09399999678134918)
         (* (sqrt (fma (* u1 u1) 0.5 u1)) t_1)
         (*
          t_0
          (fma
           (fma
            (* 0.6666666666666666 (* u2 u2))
            (* (* PI PI) (* PI PI))
            (* (* PI PI) -2.0))
           (* u2 u2)
           1.0)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = sqrtf(-logf((1.0f - u1)));
    	float t_1 = cosf(((2.0f * ((float) M_PI)) * u2));
    	float tmp;
    	if ((t_0 * t_1) <= 0.09399999678134918f) {
    		tmp = sqrtf(fmaf((u1 * u1), 0.5f, u1)) * t_1;
    	} else {
    		tmp = t_0 * fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
    	t_1 = cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))
    	tmp = Float32(0.0)
    	if (Float32(t_0 * t_1) <= Float32(0.09399999678134918))
    		tmp = Float32(sqrt(fma(Float32(u1 * u1), Float32(0.5), u1)) * t_1);
    	else
    		tmp = Float32(t_0 * fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{-\log \left(1 - u1\right)}\\
    t_1 := \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.09399999678134918:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot t\_1\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0939999968

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. Taylor expanded in u1 around inf

        \[\leadsto \sqrt{{u1}^{2} \cdot \color{blue}{\left(\frac{1}{2} + \frac{1}{u1}\right)}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Step-by-step derivation
        1. distribute-lft-inN/A

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{2} \cdot \color{blue}{\frac{1}{u1}}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. inv-powN/A

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{2} \cdot {u1}^{-1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. pow-prod-upN/A

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

          \[\leadsto \sqrt{{u1}^{2} \cdot \frac{1}{2} + {u1}^{1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. unpow1N/A

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

          \[\leadsto \sqrt{\mathsf{fma}\left({u1}^{2}, \frac{1}{2}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        7. pow2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, \frac{1}{2}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        8. lift-*.f3288.2

          \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, 0.5, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      7. Applied rewrites88.2%

        \[\leadsto \sqrt{\mathsf{fma}\left(u1 \cdot u1, \color{blue}{0.5}, u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]

      if 0.0939999968 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
      4. Applied rewrites54.3%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]
    3. Recombined 2 regimes into one program.
    4. Add Preprocessing

    Alternative 8: 96.0% accurate, 0.5× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.09399999678134918:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
       (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.09399999678134918)
         (* (sqrt (* (fma 0.5 u1 1.0) u1)) (cos (* (+ PI PI) u2)))
         (*
          t_0
          (fma
           (fma
            (* 0.6666666666666666 (* u2 u2))
            (* (* PI PI) (* PI PI))
            (* (* PI PI) -2.0))
           (* u2 u2)
           1.0)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = sqrtf(-logf((1.0f - u1)));
    	float tmp;
    	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.09399999678134918f) {
    		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
    	} else {
    		tmp = t_0 * fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
    	tmp = Float32(0.0)
    	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.09399999678134918))
    		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
    	else
    		tmp = Float32(t_0 * fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{-\log \left(1 - u1\right)}\\
    \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.09399999678134918:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0939999968

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

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

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

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

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

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

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lift-PI.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
      6. Applied rewrites88.1%

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

      if 0.0939999968 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
      4. Applied rewrites54.3%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]
    3. Recombined 2 regimes into one program.
    4. Add Preprocessing

    Alternative 9: 94.2% accurate, 0.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ t_1 := \sqrt{-\log \left(1 - u1\right)}\\ t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\ \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot t\_0\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0
             (fma
              (fma
               (* 0.6666666666666666 (* u2 u2))
               (* (* PI PI) (* PI PI))
               (* (* PI PI) -2.0))
              (* u2 u2)
              1.0))
            (t_1 (sqrt (- (log (- 1.0 u1)))))
            (t_2 (* t_1 (cos (* (* 2.0 PI) u2)))))
       (if (<= t_2 0.0019000000320374966)
         (* (sqrt u1) (sin (fma (+ PI PI) (- u2) (/ PI 2.0))))
         (if (<= t_2 0.052000001072883606)
           (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_0)
           (* t_1 t_0)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
    	float t_1 = sqrtf(-logf((1.0f - u1)));
    	float t_2 = t_1 * cosf(((2.0f * ((float) M_PI)) * u2));
    	float tmp;
    	if (t_2 <= 0.0019000000320374966f) {
    		tmp = sqrtf(u1) * sinf(fmaf((((float) M_PI) + ((float) M_PI)), -u2, (((float) M_PI) / 2.0f)));
    	} else if (t_2 <= 0.052000001072883606f) {
    		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * t_0;
    	} else {
    		tmp = t_1 * t_0;
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0))
    	t_1 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
    	t_2 = Float32(t_1 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
    	tmp = Float32(0.0)
    	if (t_2 <= Float32(0.0019000000320374966))
    		tmp = Float32(sqrt(u1) * sin(fma(Float32(Float32(pi) + Float32(pi)), Float32(-u2), Float32(Float32(pi) / Float32(2.0)))));
    	elseif (t_2 <= Float32(0.052000001072883606))
    		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * 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(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
    t_1 := \sqrt{-\log \left(1 - u1\right)}\\
    t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\
    \;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)\\
    
    \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_1 \cdot t\_0\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 3 regimes
    2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.00190000003

      1. Initial program 57.5%

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

        \[\leadsto \color{blue}{\left(\sqrt{u1} + {u1}^{2} \cdot \left(u1 \cdot \left(\frac{1}{2} \cdot \frac{u1 \cdot \left(\frac{1}{4} - \frac{1}{16} \cdot \frac{1}{{\left(\sqrt{u1}\right)}^{2}}\right)}{\sqrt{u1}} + \frac{1}{6} \cdot \frac{1}{\sqrt{u1}}\right) + \frac{1}{4} \cdot \frac{1}{\sqrt{u1}}\right)\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. Applied rewrites93.3%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Step-by-step derivation
        1. lift-cos.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
        2. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
        3. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) \]
        4. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot u2\right) \]
        5. cos-neg-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\mathsf{neg}\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\right)} \]
        6. associate-*l*N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)}\right)\right) \]
        7. *-commutativeN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right)\right) \]
        8. sin-+PI/2-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
        9. lower-sin.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
        10. lift-/.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right) \]
        11. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\color{blue}{\pi}}{2}\right) \]
        12. lower-+.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\pi}{2}\right)} \]
      5. Applied rewrites93.4%

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
      6. Step-by-step derivation
        1. lift-+.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
        2. lift-neg.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{neg}\left(\left(\pi + \pi\right) \cdot u2\right)\right)} + \frac{\pi}{2}\right) \]
        3. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(\color{blue}{\left(\pi + \pi\right) \cdot u2}\right)\right) + \frac{\pi}{2}\right) \]
        4. distribute-rgt-neg-inN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\pi + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right)} + \frac{\pi}{2}\right) \]
        5. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} + \pi\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
        6. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{PI}\left(\right) + \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
        7. lift-+.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
        8. count-2-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot \left(\mathsf{neg}\left(u2\right)\right) + \frac{\pi}{2}\right) \]
        9. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(2 \cdot \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right)} \]
        10. count-2-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
        11. lift-+.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
        12. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\color{blue}{\pi} + \mathsf{PI}\left(\right), \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
        13. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \color{blue}{\pi}, \mathsf{neg}\left(u2\right), \frac{\pi}{2}\right)\right) \]
        14. lower-neg.f3293.5

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, \color{blue}{-u2}, \frac{\pi}{2}\right)\right) \]
      7. Applied rewrites93.5%

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right)} \]
      8. Taylor expanded in u1 around 0

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]
      9. Step-by-step derivation
        1. flip3--N/A

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

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

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

          \[\leadsto \sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]
        5. diff-logN/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]
        6. lift-sqrt.f3276.6

          \[\leadsto \sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]
      10. Applied rewrites76.6%

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \sin \left(\mathsf{fma}\left(\pi + \pi, -u2, \frac{\pi}{2}\right)\right) \]

      if 0.00190000003 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-fma.f3288.1

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Applied rewrites88.1%

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. Taylor expanded in u2 around 0

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

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

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

          \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
      7. Applied rewrites81.9%

        \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]

      if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

      1. Initial program 57.5%

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

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

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

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

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
      4. Applied rewrites54.3%

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]
    3. Recombined 3 regimes into one program.
    4. Add Preprocessing

    Alternative 10: 94.1% accurate, 0.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ t_1 := \sqrt{-\log \left(1 - u1\right)}\\ t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(-2, \pi \cdot u2, \pi \cdot 0.5\right)\right)\\ \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot t\_0\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0
             (fma
              (fma
               (* 0.6666666666666666 (* u2 u2))
               (* (* PI PI) (* PI PI))
               (* (* PI PI) -2.0))
              (* u2 u2)
              1.0))
            (t_1 (sqrt (- (log (- 1.0 u1)))))
            (t_2 (* t_1 (cos (* (* 2.0 PI) u2)))))
       (if (<= t_2 0.0019000000320374966)
         (* (sqrt u1) (sin (fma -2.0 (* PI u2) (* PI 0.5))))
         (if (<= t_2 0.052000001072883606)
           (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_0)
           (* t_1 t_0)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
    	float t_1 = sqrtf(-logf((1.0f - u1)));
    	float t_2 = t_1 * cosf(((2.0f * ((float) M_PI)) * u2));
    	float tmp;
    	if (t_2 <= 0.0019000000320374966f) {
    		tmp = sqrtf(u1) * sinf(fmaf(-2.0f, (((float) M_PI) * u2), (((float) M_PI) * 0.5f)));
    	} else if (t_2 <= 0.052000001072883606f) {
    		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * t_0;
    	} else {
    		tmp = t_1 * t_0;
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0))
    	t_1 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
    	t_2 = Float32(t_1 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
    	tmp = Float32(0.0)
    	if (t_2 <= Float32(0.0019000000320374966))
    		tmp = Float32(sqrt(u1) * sin(fma(Float32(-2.0), Float32(Float32(pi) * u2), Float32(Float32(pi) * Float32(0.5)))));
    	elseif (t_2 <= Float32(0.052000001072883606))
    		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * 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(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
    t_1 := \sqrt{-\log \left(1 - u1\right)}\\
    t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
    \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\
    \;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(-2, \pi \cdot u2, \pi \cdot 0.5\right)\right)\\
    
    \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_1 \cdot t\_0\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 3 regimes
    2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.00190000003

      1. Initial program 57.5%

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

        \[\leadsto \color{blue}{\left(\sqrt{u1} + {u1}^{2} \cdot \left(u1 \cdot \left(\frac{1}{2} \cdot \frac{u1 \cdot \left(\frac{1}{4} - \frac{1}{16} \cdot \frac{1}{{\left(\sqrt{u1}\right)}^{2}}\right)}{\sqrt{u1}} + \frac{1}{6} \cdot \frac{1}{\sqrt{u1}}\right) + \frac{1}{4} \cdot \frac{1}{\sqrt{u1}}\right)\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. Applied rewrites93.3%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Step-by-step derivation
        1. lift-cos.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
        2. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \color{blue}{\left(\left(2 \cdot \pi\right) \cdot u2\right)} \]
        3. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\left(2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot u2\right) \]
        4. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right)} \cdot u2\right) \]
        5. cos-neg-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\cos \left(\mathsf{neg}\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u2\right)\right)} \]
        6. associate-*l*N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot u2\right)}\right)\right) \]
        7. *-commutativeN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(\mathsf{neg}\left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right)\right) \]
        8. sin-+PI/2-revN/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
        9. lower-sin.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\mathsf{PI}\left(\right)}{2}\right)} \]
        10. lift-/.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right) \]
        11. lift-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\color{blue}{\pi}}{2}\right) \]
        12. lower-+.f32N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{1}{2}, \left(\frac{1}{4} - \frac{\frac{1}{16}}{u1}\right) \cdot u1, \frac{1}{6}\right)}{\sqrt{u1}}, u1, \frac{\frac{1}{4}}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \sin \color{blue}{\left(\left(\mathsf{neg}\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)\right) + \frac{\pi}{2}\right)} \]
      5. Applied rewrites93.4%

        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(0.5, \left(0.25 - \frac{0.0625}{u1}\right) \cdot u1, 0.16666666666666666\right)}{\sqrt{u1}}, u1, \frac{0.25}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\sin \left(\left(-\left(\pi + \pi\right) \cdot u2\right) + \frac{\pi}{2}\right)} \]
      6. Taylor expanded in u1 around 0

        \[\leadsto \color{blue}{\sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) - 2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{u1}} \]
      7. Step-by-step derivation
        1. Applied rewrites76.5%

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

        if 0.00190000003 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
        7. Applied rewrites81.9%

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]

        if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
        4. Applied rewrites54.3%

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]
      8. Recombined 3 regimes into one program.
      9. Add Preprocessing

      Alternative 11: 94.1% accurate, 0.3× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ t_1 := \sqrt{-\log \left(1 - u1\right)}\\ t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\ \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot t\_0\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0
               (fma
                (fma
                 (* 0.6666666666666666 (* u2 u2))
                 (* (* PI PI) (* PI PI))
                 (* (* PI PI) -2.0))
                (* u2 u2)
                1.0))
              (t_1 (sqrt (- (log (- 1.0 u1)))))
              (t_2 (* t_1 (cos (* (* 2.0 PI) u2)))))
         (if (<= t_2 0.0019000000320374966)
           (* (sqrt u1) (cos (* u2 (+ PI PI))))
           (if (<= t_2 0.052000001072883606)
             (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_0)
             (* t_1 t_0)))))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
      	float t_1 = sqrtf(-logf((1.0f - u1)));
      	float t_2 = t_1 * cosf(((2.0f * ((float) M_PI)) * u2));
      	float tmp;
      	if (t_2 <= 0.0019000000320374966f) {
      		tmp = sqrtf(u1) * cosf((u2 * (((float) M_PI) + ((float) M_PI))));
      	} else if (t_2 <= 0.052000001072883606f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * t_0;
      	} else {
      		tmp = t_1 * t_0;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0))
      	t_1 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	t_2 = Float32(t_1 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
      	tmp = Float32(0.0)
      	if (t_2 <= Float32(0.0019000000320374966))
      		tmp = Float32(sqrt(u1) * cos(Float32(u2 * Float32(Float32(pi) + Float32(pi)))));
      	elseif (t_2 <= Float32(0.052000001072883606))
      		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * 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(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
      t_1 := \sqrt{-\log \left(1 - u1\right)}\\
      t_2 := t\_1 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
      \mathbf{if}\;t\_2 \leq 0.0019000000320374966:\\
      \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\
      
      \mathbf{elif}\;t\_2 \leq 0.052000001072883606:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_0\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_1 \cdot t\_0\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 3 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.00190000003

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          9. lift-cos.f3276.5

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(2 \cdot \pi\right)\right) \]
          12. lower-*.f3276.5

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \]
          18. lift-PI.f3276.5

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \]
        4. Applied rewrites76.5%

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

        if 0.00190000003 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
        7. Applied rewrites81.9%

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]

        if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
        4. Applied rewrites54.3%

          \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]
      3. Recombined 3 regimes into one program.
      4. Add Preprocessing

      Alternative 12: 93.3% accurate, 0.3× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := -\log \left(1 - u1\right)\\ t_1 := \sqrt{t\_0} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\ \mathbf{if}\;t\_1 \leq 0.0019000000320374966:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\ \mathbf{elif}\;t\_1 \leq 0.09399999678134918:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\ \mathbf{else}:\\ \;\;\;\;e^{\log t\_0 \cdot 0.5} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (- (log (- 1.0 u1))))
              (t_1 (* (sqrt t_0) (cos (* (* 2.0 PI) u2)))))
         (if (<= t_1 0.0019000000320374966)
           (* (sqrt u1) (cos (* u2 (+ PI PI))))
           (if (<= t_1 0.09399999678134918)
             (*
              (sqrt (* (fma 0.5 u1 1.0) u1))
              (fma
               (fma
                (* 0.6666666666666666 (* u2 u2))
                (* (* PI PI) (* PI PI))
                (* (* PI PI) -2.0))
               (* u2 u2)
               1.0))
             (* (exp (* (log t_0) 0.5)) (fma (* -2.0 (* u2 u2)) (* PI PI) 1.0))))))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = -logf((1.0f - u1));
      	float t_1 = sqrtf(t_0) * cosf(((2.0f * ((float) M_PI)) * u2));
      	float tmp;
      	if (t_1 <= 0.0019000000320374966f) {
      		tmp = sqrtf(u1) * cosf((u2 * (((float) M_PI) + ((float) M_PI))));
      	} else if (t_1 <= 0.09399999678134918f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * fmaf(fmaf((0.6666666666666666f * (u2 * u2)), ((((float) M_PI) * ((float) M_PI)) * (((float) M_PI) * ((float) M_PI))), ((((float) M_PI) * ((float) M_PI)) * -2.0f)), (u2 * u2), 1.0f);
      	} else {
      		tmp = expf((logf(t_0) * 0.5f)) * fmaf((-2.0f * (u2 * u2)), (((float) M_PI) * ((float) M_PI)), 1.0f);
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = Float32(-log(Float32(Float32(1.0) - u1)))
      	t_1 = Float32(sqrt(t_0) * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
      	tmp = Float32(0.0)
      	if (t_1 <= Float32(0.0019000000320374966))
      		tmp = Float32(sqrt(u1) * cos(Float32(u2 * Float32(Float32(pi) + Float32(pi)))));
      	elseif (t_1 <= Float32(0.09399999678134918))
      		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * fma(fma(Float32(Float32(0.6666666666666666) * Float32(u2 * u2)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(Float32(pi) * Float32(pi))), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0))), Float32(u2 * u2), Float32(1.0)));
      	else
      		tmp = Float32(exp(Float32(log(t_0) * Float32(0.5))) * fma(Float32(Float32(-2.0) * Float32(u2 * u2)), Float32(Float32(pi) * Float32(pi)), Float32(1.0)));
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := -\log \left(1 - u1\right)\\
      t_1 := \sqrt{t\_0} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right)\\
      \mathbf{if}\;t\_1 \leq 0.0019000000320374966:\\
      \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\
      
      \mathbf{elif}\;t\_1 \leq 0.09399999678134918:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;e^{\log t\_0 \cdot 0.5} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 3 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.00190000003

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          9. lift-cos.f3276.5

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(2 \cdot \pi\right)\right) \]
          12. lower-*.f3276.5

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \]
          18. lift-PI.f3276.5

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \]
        4. Applied rewrites76.5%

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

        if 0.00190000003 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0939999968

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right), \color{blue}{{u2}^{2}}, 1\right) \]
        7. Applied rewrites81.9%

          \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right), \left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right), \left(\pi \cdot \pi\right) \cdot -2\right), u2 \cdot u2, 1\right)} \]

        if 0.0939999968 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

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

            \[\leadsto e^{\log \left(\mathsf{neg}\left(\log \color{blue}{\left(1 - u1\right)}\right)\right) \cdot \frac{1}{2}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          12. lift-neg.f3257.5

            \[\leadsto e^{\log \color{blue}{\left(-\log \left(1 - u1\right)\right)} \cdot 0.5} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. Applied rewrites57.5%

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

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

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

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

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

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

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

            \[\leadsto e^{\log \left(-\log \left(1 - u1\right)\right) \cdot \frac{1}{2}} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), {\mathsf{PI}\left(\right)}^{2}, 1\right) \]
          7. unpow2N/A

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

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

            \[\leadsto e^{\log \left(-\log \left(1 - u1\right)\right) \cdot \frac{1}{2}} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3253.1

            \[\leadsto e^{\log \left(-\log \left(1 - u1\right)\right) \cdot 0.5} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        6. Applied rewrites53.1%

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

      Alternative 13: 90.7% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.9999849796295166:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{{\left(-\mathsf{log1p}\left(-u1\right)\right)}^{-0.5}}\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (if (<= (cos (* (* 2.0 PI) u2)) 0.9999849796295166)
         (* (sqrt u1) (cos (* u2 (+ PI PI))))
         (/ 1.0 (pow (- (log1p (- u1))) -0.5))))
      float code(float cosTheta_i, float u1, float u2) {
      	float tmp;
      	if (cosf(((2.0f * ((float) M_PI)) * u2)) <= 0.9999849796295166f) {
      		tmp = sqrtf(u1) * cosf((u2 * (((float) M_PI) + ((float) M_PI))));
      	} else {
      		tmp = 1.0f / powf(-log1pf(-u1), -0.5f);
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	tmp = Float32(0.0)
      	if (cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)) <= Float32(0.9999849796295166))
      		tmp = Float32(sqrt(u1) * cos(Float32(u2 * Float32(Float32(pi) + Float32(pi)))));
      	else
      		tmp = Float32(Float32(1.0) / (Float32(-log1p(Float32(-u1))) ^ Float32(-0.5)));
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      \mathbf{if}\;\cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.9999849796295166:\\
      \;\;\;\;\sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\frac{1}{{\left(-\mathsf{log1p}\left(-u1\right)\right)}^{-0.5}}\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)) < 0.99998498

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          9. lift-cos.f3276.5

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(2 \cdot \pi\right)\right) \]
          12. lower-*.f3276.5

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

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

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

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

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

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \mathsf{PI}\left(\right)\right)\right) \]
          18. lift-PI.f3276.5

            \[\leadsto \sqrt{u1} \cdot \cos \left(u2 \cdot \left(\pi + \pi\right)\right) \]
        4. Applied rewrites76.5%

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

        if 0.99998498 < (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift--.f32N/A

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          4. lift-log.f32N/A

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          5. pow1/2N/A

            \[\leadsto {\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\color{blue}{\frac{1}{2}}} \]
          6. metadata-evalN/A

            \[\leadsto {\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\left(\mathsf{neg}\left(\frac{-1}{2}\right)\right)} \]
          7. pow-negN/A

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

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

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

            \[\leadsto \frac{1}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\frac{-1}{2}}} \]
          11. lift--.f32N/A

            \[\leadsto \frac{1}{{\left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}^{\frac{-1}{2}}} \]
          12. lift-neg.f3249.8

            \[\leadsto \frac{1}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}} \]
        6. Applied rewrites49.8%

          \[\leadsto \frac{1}{\color{blue}{{\left(-\log \left(1 - u1\right)\right)}^{-0.5}}} \]
        7. Step-by-step derivation
          1. lift--.f32N/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 - u1\right)\right)}^{\frac{-1}{2}}} \]
          2. lift-log.f32N/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 - u1\right)\right)}^{\frac{-1}{2}}} \]
          3. *-lft-identityN/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 - 1 \cdot u1\right)\right)}^{\frac{-1}{2}}} \]
          4. metadata-evalN/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 - \left(\mathsf{neg}\left(-1\right)\right) \cdot u1\right)\right)}^{\frac{-1}{2}}} \]
          5. fp-cancel-sign-sub-invN/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 + -1 \cdot u1\right)\right)}^{\frac{-1}{2}}} \]
          6. mul-1-negN/A

            \[\leadsto \frac{1}{{\left(-\log \left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)\right)}^{\frac{-1}{2}}} \]
          7. lower-log1p.f32N/A

            \[\leadsto \frac{1}{{\left(-\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)\right)}^{\frac{-1}{2}}} \]
          8. lower-neg.f3280.0

            \[\leadsto \frac{1}{{\left(-\mathsf{log1p}\left(-u1\right)\right)}^{-0.5}} \]
        8. Applied rewrites80.0%

          \[\leadsto \frac{1}{{\left(-\mathsf{log1p}\left(-u1\right)\right)}^{-0.5}} \]
      3. Recombined 2 regimes into one program.
      4. Add Preprocessing

      Alternative 14: 87.1% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot t\_1\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1)))))
              (t_1 (fma (* -2.0 (* u2 u2)) (* PI PI) 1.0)))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.052000001072883606)
           (* (sqrt (* (* (+ (/ 1.0 u1) 0.5) u1) u1)) t_1)
           (* t_0 t_1))))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float t_1 = fmaf((-2.0f * (u2 * u2)), (((float) M_PI) * ((float) M_PI)), 1.0f);
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.052000001072883606f) {
      		tmp = sqrtf(((((1.0f / u1) + 0.5f) * u1) * u1)) * t_1;
      	} else {
      		tmp = t_0 * t_1;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	t_1 = fma(Float32(Float32(-2.0) * Float32(u2 * u2)), Float32(Float32(pi) * Float32(pi)), Float32(1.0))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.052000001072883606))
      		tmp = Float32(sqrt(Float32(Float32(Float32(Float32(Float32(1.0) / u1) + Float32(0.5)) * u1) * u1)) * t_1);
      	else
      		tmp = Float32(t_0 * t_1);
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      t_1 := \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\
      \;\;\;\;\sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot t\_1\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0 \cdot t\_1\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + {u1}^{0}\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. metadata-evalN/A

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + \frac{1}{u1} \cdot u1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          6. distribute-rgt-inN/A

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

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

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

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

            \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + \frac{1}{2}\right) \cdot u1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          11. lower-/.f3288.0

            \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        6. Applied rewrites88.0%

          \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        7. Taylor expanded in u2 around 0

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + \frac{1}{2}\right) \cdot u1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3279.2

            \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        9. Applied rewrites79.2%

          \[\leadsto \sqrt{\left(\left(\frac{1}{u1} + 0.5\right) \cdot u1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)} \]

        if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3253.1

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        4. Applied rewrites53.1%

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

      Alternative 15: 87.0% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ t_1 := \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot t\_1\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1)))))
              (t_1 (fma (* -2.0 (* u2 u2)) (* PI PI) 1.0)))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.052000001072883606)
           (* (sqrt (* (fma 0.5 u1 1.0) u1)) t_1)
           (* t_0 t_1))))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float t_1 = fmaf((-2.0f * (u2 * u2)), (((float) M_PI) * ((float) M_PI)), 1.0f);
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.052000001072883606f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * t_1;
      	} else {
      		tmp = t_0 * t_1;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	t_1 = fma(Float32(Float32(-2.0) * Float32(u2 * u2)), Float32(Float32(pi) * Float32(pi)), Float32(1.0))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.052000001072883606))
      		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * t_1);
      	else
      		tmp = Float32(t_0 * t_1);
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      t_1 := \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot t\_1\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0 \cdot t\_1\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3279.3

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        7. Applied rewrites79.3%

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

        if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3253.1

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        4. Applied rewrites53.1%

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

      Alternative 16: 85.6% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := -\log \left(1 - u1\right)\\ \mathbf{if}\;\sqrt{t\_0} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.07599999755620956:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{e^{\log t\_0}}\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (- (log (- 1.0 u1)))))
         (if (<= (* (sqrt t_0) (cos (* (* 2.0 PI) u2))) 0.07599999755620956)
           (* (sqrt (* (fma 0.5 u1 1.0) u1)) (fma (* -2.0 (* u2 u2)) (* PI PI) 1.0))
           (sqrt (exp (log t_0))))))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = -logf((1.0f - u1));
      	float tmp;
      	if ((sqrtf(t_0) * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.07599999755620956f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * fmaf((-2.0f * (u2 * u2)), (((float) M_PI) * ((float) M_PI)), 1.0f);
      	} else {
      		tmp = sqrtf(expf(logf(t_0)));
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = Float32(-log(Float32(Float32(1.0) - u1)))
      	tmp = Float32(0.0)
      	if (Float32(sqrt(t_0) * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.07599999755620956))
      		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * fma(Float32(Float32(-2.0) * Float32(u2 * u2)), Float32(Float32(pi) * Float32(pi)), Float32(1.0)));
      	else
      		tmp = sqrt(exp(log(t_0)));
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := -\log \left(1 - u1\right)\\
      \mathbf{if}\;\sqrt{t\_0} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.07599999755620956:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\sqrt{e^{\log t\_0}}\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0759999976

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3279.3

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        7. Applied rewrites79.3%

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

        if 0.0759999976 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-log.f32N/A

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          4. rem-exp-logN/A

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

            \[\leadsto \sqrt{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}} \]
          6. lift-log.f32N/A

            \[\leadsto \sqrt{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}} \]
          7. lift--.f32N/A

            \[\leadsto \sqrt{e^{\log \left(\mathsf{neg}\left(\log \left(1 - u1\right)\right)\right)}} \]
          8. lift-neg.f32N/A

            \[\leadsto \sqrt{e^{\log \left(-\log \left(1 - u1\right)\right)}} \]
          9. lift-log.f3249.8

            \[\leadsto \sqrt{e^{\log \left(-\log \left(1 - u1\right)\right)}} \]
        6. Applied rewrites49.8%

          \[\leadsto \sqrt{e^{\log \left(-\log \left(1 - u1\right)\right)}} \]
      3. Recombined 2 regimes into one program.
      4. Add Preprocessing

      Alternative 17: 85.6% accurate, 0.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.07599999755620956:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.07599999755620956)
           (* (sqrt (* (fma 0.5 u1 1.0) u1)) (fma (* -2.0 (* u2 u2)) (* PI PI) 1.0))
           t_0)))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.07599999755620956f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * fmaf((-2.0f * (u2 * u2)), (((float) M_PI) * ((float) M_PI)), 1.0f);
      	} else {
      		tmp = t_0;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.07599999755620956))
      		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * fma(Float32(Float32(-2.0) * Float32(u2 * u2)), Float32(Float32(pi) * Float32(pi)), Float32(1.0)));
      	else
      		tmp = t_0;
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.07599999755620956:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0759999976

        1. Initial program 57.5%

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

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

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

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

            \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-fma.f3288.1

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Applied rewrites88.1%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

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

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

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

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

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

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

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \mathsf{PI}\left(\right), 1\right) \]
          10. lift-PI.f3279.3

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(-2 \cdot \left(u2 \cdot u2\right), \pi \cdot \pi, 1\right) \]
        7. Applied rewrites79.3%

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

        if 0.0759999976 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

      Alternative 18: 80.1% accurate, 0.7× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.20000000298023224:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.20000000298023224)
           (sqrt (* (fma (fma (fma 0.25 u1 0.3333333333333333) u1 0.5) u1 1.0) u1))
           t_0)))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.20000000298023224f) {
      		tmp = sqrtf((fmaf(fmaf(fmaf(0.25f, u1, 0.3333333333333333f), u1, 0.5f), u1, 1.0f) * u1));
      	} else {
      		tmp = t_0;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.20000000298023224))
      		tmp = sqrt(Float32(fma(fma(fma(Float32(0.25), u1, Float32(0.3333333333333333)), u1, Float32(0.5)), u1, Float32(1.0)) * u1));
      	else
      		tmp = t_0;
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.20000000298023224:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1}\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.200000003

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

          \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right)} \]
        6. Step-by-step derivation
          1. *-commutativeN/A

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

            \[\leadsto \sqrt{\left(1 + u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right)\right) \cdot u1} \]
          3. +-commutativeN/A

            \[\leadsto \sqrt{\left(u1 \cdot \left(\frac{1}{2} + u1 \cdot \left(\frac{1}{3} + \frac{1}{4} \cdot u1\right)\right) + 1\right) \cdot u1} \]
          4. *-commutativeN/A

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

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

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

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\frac{1}{4} \cdot u1 + \frac{1}{3}, u1, \frac{1}{2}\right), u1, 1\right) \cdot u1} \]
          10. lower-fma.f3276.5

            \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]
        7. Applied rewrites76.5%

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.25, u1, 0.3333333333333333\right), u1, 0.5\right), u1, 1\right) \cdot u1} \]

        if 0.200000003 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

      Alternative 19: 79.9% accurate, 0.7× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.10199999809265137:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.10199999809265137)
           (sqrt (* (fma (fma 0.3333333333333333 u1 0.5) u1 1.0) u1))
           t_0)))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.10199999809265137f) {
      		tmp = sqrtf((fmaf(fmaf(0.3333333333333333f, u1, 0.5f), u1, 1.0f) * u1));
      	} else {
      		tmp = t_0;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.10199999809265137))
      		tmp = sqrt(Float32(fma(fma(Float32(0.3333333333333333), u1, Float32(0.5)), u1, Float32(1.0)) * u1));
      	else
      		tmp = t_0;
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.10199999809265137:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1}\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.102

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

          \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)} \]
        6. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \sqrt{\left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right) \cdot u1} \]
          2. lower-*.f32N/A

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

            \[\leadsto \sqrt{\left(u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right) + 1\right) \cdot u1} \]
          4. *-commutativeN/A

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

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

            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{3} \cdot u1 + \frac{1}{2}, u1, 1\right) \cdot u1} \]
          7. lower-fma.f3275.3

            \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \]
        7. Applied rewrites75.3%

          \[\leadsto \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(0.3333333333333333, u1, 0.5\right), u1, 1\right) \cdot u1} \]

        if 0.102 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

      Alternative 20: 79.3% accurate, 0.8× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{-\log \left(1 - u1\right)}\\ \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (let* ((t_0 (sqrt (- (log (- 1.0 u1))))))
         (if (<= (* t_0 (cos (* (* 2.0 PI) u2))) 0.052000001072883606)
           (sqrt (* (fma 0.5 u1 1.0) u1))
           t_0)))
      float code(float cosTheta_i, float u1, float u2) {
      	float t_0 = sqrtf(-logf((1.0f - u1)));
      	float tmp;
      	if ((t_0 * cosf(((2.0f * ((float) M_PI)) * u2))) <= 0.052000001072883606f) {
      		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1));
      	} else {
      		tmp = t_0;
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	t_0 = sqrt(Float32(-log(Float32(Float32(1.0) - u1))))
      	tmp = Float32(0.0)
      	if (Float32(t_0 * cos(Float32(Float32(Float32(2.0) * Float32(pi)) * u2))) <= Float32(0.052000001072883606))
      		tmp = sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1));
      	else
      		tmp = t_0;
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \sqrt{-\log \left(1 - u1\right)}\\
      \mathbf{if}\;t\_0 \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \leq 0.052000001072883606:\\
      \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}\\
      
      \mathbf{else}:\\
      \;\;\;\;t\_0\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2))) < 0.0520000011

        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

          \[\leadsto \sqrt{-\log 1} \]
        6. Step-by-step derivation
          1. Applied rewrites6.6%

            \[\leadsto \sqrt{-\log 1} \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
          3. Step-by-step derivation
            1. flip3--N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            2. metadata-evalN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            3. pow3N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            5. diff-logN/A

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

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

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

              \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \]
            9. lower-fma.f3272.7

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \]
          4. Applied rewrites72.7%

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \]

          if 0.0520000011 < (*.f32 (sqrt.f32 (neg.f32 (log.f32 (-.f32 #s(literal 1 binary32) u1)))) (cos.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) u2)))

          1. Initial program 57.5%

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

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

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

              \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
            3. lift-neg.f32N/A

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
            4. lift-sqrt.f3249.8

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. Applied rewrites49.8%

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

        Alternative 21: 72.7% accurate, 5.0× speedup?

        \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \end{array} \]
        (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (* (fma 0.5 u1 1.0) u1)))
        float code(float cosTheta_i, float u1, float u2) {
        	return sqrtf((fmaf(0.5f, u1, 1.0f) * u1));
        }
        
        function code(cosTheta_i, u1, u2)
        	return sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1))
        end
        
        \begin{array}{l}
        
        \\
        \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1}
        \end{array}
        
        Derivation
        1. Initial program 57.5%

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

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

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

            \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
          3. lift-neg.f32N/A

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. lift-sqrt.f3249.8

            \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
        4. Applied rewrites49.8%

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

          \[\leadsto \sqrt{-\log 1} \]
        6. Step-by-step derivation
          1. Applied rewrites6.6%

            \[\leadsto \sqrt{-\log 1} \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
          3. Step-by-step derivation
            1. flip3--N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            2. metadata-evalN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            3. pow3N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \]
            5. diff-logN/A

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

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

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

              \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \]
            9. lower-fma.f3272.7

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \]
          4. Applied rewrites72.7%

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

          Alternative 22: 64.8% accurate, 11.4× speedup?

          \[\begin{array}{l} \\ \sqrt{-\left(-u1\right)} \end{array} \]
          (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (- (- u1))))
          float code(float cosTheta_i, float u1, float u2) {
          	return sqrtf(-(-u1));
          }
          
          module fmin_fmax_functions
              implicit none
              private
              public fmax
              public fmin
          
              interface fmax
                  module procedure fmax88
                  module procedure fmax44
                  module procedure fmax84
                  module procedure fmax48
              end interface
              interface fmin
                  module procedure fmin88
                  module procedure fmin44
                  module procedure fmin84
                  module procedure fmin48
              end interface
          contains
              real(8) function fmax88(x, y) result (res)
                  real(8), intent (in) :: x
                  real(8), intent (in) :: y
                  res = merge(y, merge(x, max(x, y), y /= y), x /= x)
              end function
              real(4) function fmax44(x, y) result (res)
                  real(4), intent (in) :: x
                  real(4), intent (in) :: y
                  res = merge(y, merge(x, max(x, y), y /= y), x /= x)
              end function
              real(8) function fmax84(x, y) result(res)
                  real(8), intent (in) :: x
                  real(4), intent (in) :: y
                  res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
              end function
              real(8) function fmax48(x, y) result(res)
                  real(4), intent (in) :: x
                  real(8), intent (in) :: y
                  res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
              end function
              real(8) function fmin88(x, y) result (res)
                  real(8), intent (in) :: x
                  real(8), intent (in) :: y
                  res = merge(y, merge(x, min(x, y), y /= y), x /= x)
              end function
              real(4) function fmin44(x, y) result (res)
                  real(4), intent (in) :: x
                  real(4), intent (in) :: y
                  res = merge(y, merge(x, min(x, y), y /= y), x /= x)
              end function
              real(8) function fmin84(x, y) result(res)
                  real(8), intent (in) :: x
                  real(4), intent (in) :: y
                  res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
              end function
              real(8) function fmin48(x, y) result(res)
                  real(4), intent (in) :: x
                  real(8), intent (in) :: y
                  res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
              end function
          end module
          
          real(4) function code(costheta_i, u1, u2)
          use fmin_fmax_functions
              real(4), intent (in) :: costheta_i
              real(4), intent (in) :: u1
              real(4), intent (in) :: u2
              code = sqrt(-(-u1))
          end function
          
          function code(cosTheta_i, u1, u2)
          	return sqrt(Float32(-Float32(-u1)))
          end
          
          function tmp = code(cosTheta_i, u1, u2)
          	tmp = sqrt(-(-u1));
          end
          
          \begin{array}{l}
          
          \\
          \sqrt{-\left(-u1\right)}
          \end{array}
          
          Derivation
          1. Initial program 57.5%

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

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

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

              \[\leadsto \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)} \]
            3. lift-neg.f32N/A

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
            4. lift-sqrt.f3249.8

              \[\leadsto \sqrt{-\log \left(1 - u1\right)} \]
          4. Applied rewrites49.8%

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

            \[\leadsto \sqrt{--1 \cdot u1} \]
          6. Step-by-step derivation
            1. mul-1-negN/A

              \[\leadsto \sqrt{-\left(\mathsf{neg}\left(u1\right)\right)} \]
            2. lower-neg.f3264.8

              \[\leadsto \sqrt{-\left(-u1\right)} \]
          7. Applied rewrites64.8%

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

          Reproduce

          ?
          herbie shell --seed 2025138 
          (FPCore (cosTheta_i u1 u2)
            :name "Beckmann Sample, near normal, slope_x"
            :precision binary32
            :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
            (* (sqrt (- (log (- 1.0 u1)))) (cos (* (* 2.0 PI) u2))))