Beckmann Sample, near normal, slope_x

Percentage Accurate: 57.8% → 98.7%
Time: 5.2s
Alternatives: 13
Speedup: 21.0×

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}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 13 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: 57.8% 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, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u1 \leq 0.03500000014901161:\\ \;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\pi \cdot 0.5 - -2 \cdot \left(\pi \cdot u2\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u1 0.03500000014901161)
   (*
    (sqrt
     (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
    (cos (* (+ PI PI) u2)))
   (* (sqrt (- (log (- 1.0 u1)))) (sin (- (* PI 0.5) (* -2.0 (* PI u2)))))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u1 <= 0.03500000014901161f) {
		tmp = sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
	} else {
		tmp = sqrtf(-logf((1.0f - u1))) * sinf(((((float) M_PI) * 0.5f) - (-2.0f * (((float) M_PI) * u2))));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u1 <= Float32(0.03500000014901161))
		tmp = Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	else
		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * sin(Float32(Float32(Float32(pi) * Float32(0.5)) - Float32(Float32(-2.0) * Float32(Float32(pi) * u2)))));
	end
	return tmp
end
function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if (u1 <= single(0.03500000014901161))
		tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * cos(((single(pi) + single(pi)) * u2));
	else
		tmp = sqrt(-log((single(1.0) - u1))) * sin(((single(pi) * single(0.5)) - (single(-2.0) * (single(pi) * u2))));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u1 \leq 0.03500000014901161:\\
\;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\pi \cdot 0.5 - -2 \cdot \left(\pi \cdot u2\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.0350000001

    1. Initial program 54.7%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3298.9

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites98.9%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Step-by-step derivation
      1. lift-PI.f32N/A

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3298.9

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    7. Applied rewrites98.9%

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

    if 0.0350000001 < u1

    1. Initial program 97.0%

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(u2 \cdot \left(\pi \cdot 2\right) + \color{blue}{\frac{\mathsf{PI}\left(\right)}{2}}\right) \]
      14. lift-PI.f3297.2

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(u2 \cdot \left(\pi \cdot 2\right) + \frac{\color{blue}{\pi}}{2}\right) \]
    4. Applied rewrites97.2%

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

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    6. Step-by-step derivation
      1. fp-cancel-sign-sub-invN/A

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\pi \cdot \frac{1}{2} - -2 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{u2}\right)\right) \]
      10. lift-PI.f3297.2

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\pi \cdot 0.5 - -2 \cdot \left(\pi \cdot u2\right)\right) \]
    7. Applied rewrites97.2%

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

Alternative 2: 98.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \mathbf{if}\;u1 \leq 0.03500000014901161:\\ \;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (cos (* (+ PI PI) u2))))
   (if (<= u1 0.03500000014901161)
     (*
      (sqrt
       (* (+ (* (+ (* (+ (* 0.25 u1) 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 <= 0.03500000014901161f) {
		tmp = sqrtf((((((((0.25f * u1) + 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(0.03500000014901161))
		tmp = Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + 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
function tmp_2 = code(cosTheta_i, u1, u2)
	t_0 = cos(((single(pi) + single(pi)) * u2));
	tmp = single(0.0);
	if (u1 <= single(0.03500000014901161))
		tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * t_0;
	else
		tmp = sqrt(-log((single(1.0) - u1))) * t_0;
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
\mathbf{if}\;u1 \leq 0.03500000014901161:\\
\;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot 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 < 0.0350000001

    1. Initial program 54.7%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3298.9

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites98.9%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Step-by-step derivation
      1. lift-PI.f32N/A

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3298.9

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    7. Applied rewrites98.9%

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

    if 0.0350000001 < u1

    1. Initial program 97.0%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Add Preprocessing
    3. 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.f3297.0

        \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    4. Applied rewrites97.0%

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

Alternative 3: 93.8% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt
   (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
  (cos (* (+ PI PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * cos(((single(pi) + single(pi)) * u2));
end
\begin{array}{l}

\\
\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 62.1%

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    13. lower-*.f3293.8

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  5. Applied rewrites93.8%

    \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  6. Step-by-step derivation
    1. lift-PI.f32N/A

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

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

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

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

      \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lift-PI.f3293.8

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
  7. Applied rewrites93.8%

    \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
  8. Add Preprocessing

Alternative 4: 92.0% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (* (+ (* (+ (* 0.3333333333333333 u1) 0.5) u1) 1.0) u1))
  (cos (* (+ PI PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((((((0.3333333333333333f * u1) + 0.5f) * u1) + 1.0f) * u1)) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(0.3333333333333333) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((((((single(0.3333333333333333) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * cos(((single(pi) + single(pi)) * u2));
end
\begin{array}{l}

\\
\sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)
\end{array}
Derivation
  1. Initial program 62.1%

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\left(\left(\frac{1}{3} \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    9. lower-*.f3291.3

      \[\leadsto \sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  5. Applied rewrites91.3%

    \[\leadsto \sqrt{\color{blue}{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  6. Step-by-step derivation
    1. lift-PI.f32N/A

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

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

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

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

      \[\leadsto \sqrt{\left(\left(\frac{1}{3} \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
    6. lift-PI.f3291.3

      \[\leadsto \sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
  7. Applied rewrites91.3%

    \[\leadsto \sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
  8. Add Preprocessing

Alternative 5: 93.0% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.04500000178813934:\\ \;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.04500000178813934)
   (*
    (sqrt
     (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
    (+
     (*
      (+
       (* (* 0.6666666666666666 (* u2 u2)) (* (* PI PI) (* PI PI)))
       (* (* PI PI) -2.0))
      (* u2 u2))
     1.0))
   (* (sqrt (* (+ (* 0.5 u1) 1.0) u1)) (cos (* (+ PI PI) u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.04500000178813934f) {
		tmp = sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * (((((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 = sqrtf((((0.5f * u1) + 1.0f) * u1)) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.04500000178813934))
		tmp = Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * Float32(Float32(Float32(Float32(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(sqrt(Float32(Float32(Float32(Float32(0.5) * u1) + Float32(1.0)) * u1)) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
	end
	return tmp
end
function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if (u2 <= single(0.04500000178813934))
		tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * (((((single(0.6666666666666666) * (u2 * u2)) * ((single(pi) * single(pi)) * (single(pi) * single(pi)))) + ((single(pi) * single(pi)) * single(-2.0))) * (u2 * u2)) + single(1.0));
	else
		tmp = sqrt((((single(0.5) * u1) + single(1.0)) * u1)) * cos(((single(pi) + single(pi)) * u2));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.04500000178813934:\\
\;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 0.0450000018

    1. Initial program 62.9%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3294.5

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites94.5%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Taylor expanded in u2 around 0

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left({u2}^{2} \cdot \left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) + \color{blue}{1}\right) \]
    8. Applied rewrites94.5%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \color{blue}{\left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot {\pi}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)} \]
    9. Step-by-step derivation
      1. lift-PI.f32N/A

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot {\mathsf{PI}\left(\right)}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      3. sqr-powN/A

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      12. lift-*.f32N/A

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      14. lift-PI.f3294.5

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
    10. Applied rewrites94.5%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]

    if 0.0450000018 < u2

    1. Initial program 58.4%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3290.3

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites90.3%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Step-by-step derivation
      1. lift-PI.f32N/A

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
      6. lift-PI.f3290.3

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
    7. Applied rewrites90.3%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
    8. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
    9. Step-by-step derivation
      1. Applied rewrites84.3%

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

    Alternative 6: 91.3% accurate, 1.8× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.11500000208616257:\\ \;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u2 0.11500000208616257)
       (*
        (sqrt
         (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
        (+
         (*
          (+
           (* (* 0.6666666666666666 (* u2 u2)) (* (* PI PI) (* PI PI)))
           (* (* PI PI) -2.0))
          (* u2 u2))
         1.0))
       (* (sqrt u1) (cos (* (+ PI PI) u2)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u2 <= 0.11500000208616257f) {
    		tmp = sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * (((((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 = sqrtf(u1) * cosf(((((float) M_PI) + ((float) M_PI)) * u2));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u2 <= Float32(0.11500000208616257))
    		tmp = Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * Float32(Float32(Float32(Float32(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(sqrt(u1) * cos(Float32(Float32(Float32(pi) + Float32(pi)) * u2)));
    	end
    	return tmp
    end
    
    function tmp_2 = code(cosTheta_i, u1, u2)
    	tmp = single(0.0);
    	if (u2 <= single(0.11500000208616257))
    		tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * (((((single(0.6666666666666666) * (u2 * u2)) * ((single(pi) * single(pi)) * (single(pi) * single(pi)))) + ((single(pi) * single(pi)) * single(-2.0))) * (u2 * u2)) + single(1.0));
    	else
    		tmp = sqrt(u1) * cos(((single(pi) + single(pi)) * u2));
    	end
    	tmp_2 = tmp;
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u2 \leq 0.11500000208616257:\\
    \;\;\;\;\sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u2 < 0.115000002

      1. Initial program 62.6%

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        13. lower-*.f3294.3

          \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. Applied rewrites94.3%

        \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Taylor expanded in u2 around 0

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left({u2}^{2} \cdot \left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) + \color{blue}{1}\right) \]
      8. Applied rewrites93.8%

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \color{blue}{\left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot {\pi}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)} \]
      9. Step-by-step derivation
        1. lift-PI.f32N/A

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot {\mathsf{PI}\left(\right)}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
        3. sqr-powN/A

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
        12. lift-*.f32N/A

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
        14. lift-PI.f3293.8

          \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      10. Applied rewrites93.8%

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]

      if 0.115000002 < u2

      1. Initial program 59.0%

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        13. lower-*.f3290.2

          \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. Applied rewrites90.2%

        \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      6. Step-by-step derivation
        1. lift-PI.f32N/A

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\color{blue}{\pi} + \mathsf{PI}\left(\right)\right) \cdot u2\right) \]
        6. lift-PI.f3290.2

          \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(\pi + \color{blue}{\pi}\right) \cdot u2\right) \]
      7. Applied rewrites90.2%

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\color{blue}{\left(\pi + \pi\right)} \cdot u2\right) \]
      8. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
      9. Step-by-step derivation
        1. neg-log73.2

          \[\leadsto \sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
        2. flip3--73.2

          \[\leadsto \sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
        3. metadata-eval73.2

          \[\leadsto \sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
        4. metadata-eval73.2

          \[\leadsto \sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
        5. neg-log73.2

          \[\leadsto \sqrt{u1} \cdot \cos \left(\left(\pi + \pi\right) \cdot u2\right) \]
      10. Applied rewrites73.2%

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

    Alternative 7: 86.9% accurate, 2.3× speedup?

    \[\begin{array}{l} \\ \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt
       (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
      (+
       (*
        (+
         (* (* 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) {
    	return sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * (((((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);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * Float32(Float32(Float32(Float32(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
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * (((((single(0.6666666666666666) * (u2 * u2)) * ((single(pi) * single(pi)) * (single(pi) * single(pi)))) + ((single(pi) * single(pi)) * single(-2.0))) * (u2 * u2)) + single(1.0));
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)
    \end{array}
    
    Derivation
    1. Initial program 62.1%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3293.8

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites93.8%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Taylor expanded in u2 around 0

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left({u2}^{2} \cdot \left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) + \color{blue}{1}\right) \]
    8. Applied rewrites85.3%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \color{blue}{\left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot {\pi}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)} \]
    9. Step-by-step derivation
      1. lift-PI.f32N/A

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot {\mathsf{PI}\left(\right)}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      3. sqr-powN/A

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      12. lift-*.f32N/A

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\frac{2}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \mathsf{PI}\left(\right)\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      14. lift-PI.f3285.3

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
    10. Applied rewrites85.3%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \left(\pi \cdot \pi\right)\right) + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
    11. Add Preprocessing

    Alternative 8: 83.9% accurate, 3.4× speedup?

    \[\begin{array}{l} \\ \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt
       (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1))
      (+ (* (* (* PI PI) -2.0) (* u2 u2)) 1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * u1)) * ((((((float) M_PI) * ((float) M_PI)) * -2.0f) * (u2 * u2)) + 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1)) * Float32(Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(-2.0)) * Float32(u2 * u2)) + Float32(1.0)))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1)) * ((((single(pi) * single(pi)) * single(-2.0)) * (u2 * u2)) + single(1.0));
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)
    \end{array}
    
    Derivation
    1. Initial program 62.1%

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      13. lower-*.f3293.8

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Applied rewrites93.8%

      \[\leadsto \sqrt{\color{blue}{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}} \cdot \cos \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    6. Taylor expanded in u2 around 0

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left({u2}^{2} \cdot \left(-2 \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{2}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{4}\right)\right) + \color{blue}{1}\right) \]
    8. Applied rewrites85.3%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \color{blue}{\left(\left(\left(0.6666666666666666 \cdot \left(u2 \cdot u2\right)\right) \cdot {\pi}^{4} + \left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right)} \]
    9. Taylor expanded in u2 around 0

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
      6. lift-*.f3282.3

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
    11. Applied rewrites82.3%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \cdot \left(\left(\left(\pi \cdot \pi\right) \cdot -2\right) \cdot \left(u2 \cdot u2\right) + 1\right) \]
    12. Add Preprocessing

    Alternative 9: 76.5% accurate, 5.8× speedup?

    \[\begin{array}{l} \\ \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (sqrt
      (* (+ (* (+ (* (+ (* 0.25 u1) 0.3333333333333333) u1) 0.5) u1) 1.0) u1)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((((((((0.25f * u1) + 0.3333333333333333f) * u1) + 0.5f) * u1) + 1.0f) * 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((((((((0.25e0 * u1) + 0.3333333333333333e0) * u1) + 0.5e0) * u1) + 1.0e0) * u1))
    end function
    
    function code(cosTheta_i, u1, u2)
    	return sqrt(Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(0.25) * u1) + Float32(0.3333333333333333)) * u1) + Float32(0.5)) * u1) + Float32(1.0)) * u1))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt((((((((single(0.25) * u1) + single(0.3333333333333333)) * u1) + single(0.5)) * u1) + single(1.0)) * u1));
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1}
    \end{array}
    
    Derivation
    1. Initial program 62.1%

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

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

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

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

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

        \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
      5. lift--.f3252.0

        \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
    5. Applied rewrites52.0%

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(\left(\frac{1}{4} \cdot u1 + \frac{1}{3}\right) \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \]
      13. lift-*.f3275.6

        \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \]
    8. Applied rewrites75.6%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \]
    9. Final simplification75.6%

      \[\leadsto \sqrt{\left(\left(\left(0.25 \cdot u1 + 0.3333333333333333\right) \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \]
    10. Add Preprocessing

    Alternative 10: 75.3% accurate, 7.2× speedup?

    \[\begin{array}{l} \\ \sqrt{u1 + u1 \cdot \left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1\right)} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (sqrt (+ u1 (* u1 (* (- 0.5 (* -0.3333333333333333 u1)) u1)))))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 + (u1 * ((0.5f - (-0.3333333333333333f * u1)) * 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 + (u1 * ((0.5e0 - ((-0.3333333333333333e0) * u1)) * u1))))
    end function
    
    function code(cosTheta_i, u1, u2)
    	return sqrt(Float32(u1 + Float32(u1 * Float32(Float32(Float32(0.5) - Float32(Float32(-0.3333333333333333) * u1)) * u1))))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt((u1 + (u1 * ((single(0.5) - (single(-0.3333333333333333) * u1)) * u1))));
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{u1 + u1 \cdot \left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1\right)}
    \end{array}
    
    Derivation
    1. Initial program 62.1%

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

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

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

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

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

        \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
      5. lift--.f3252.0

        \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
    5. Applied rewrites52.0%

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

      \[\leadsto \sqrt{u1} \]
    7. Step-by-step derivation
      1. Applied rewrites61.7%

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

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

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

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

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

          \[\leadsto \sqrt{u1 + u1 \cdot \left(u1 \cdot \left(\frac{1}{2} - \left(\mathsf{neg}\left(\frac{1}{3}\right)\right) \cdot u1\right)\right)} \]
        5. metadata-evalN/A

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

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

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

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

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

          \[\leadsto \sqrt{u1 + u1 \cdot \left(\left(\frac{1}{2} - \frac{-1}{3} \cdot u1\right) \cdot u1\right)} \]
        11. lift-*.f3274.2

          \[\leadsto \sqrt{u1 + u1 \cdot \left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1\right)} \]
      4. Applied rewrites74.2%

        \[\leadsto \sqrt{u1 + u1 \cdot \left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1\right)} \]
      5. Final simplification74.2%

        \[\leadsto \sqrt{u1 + u1 \cdot \left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1\right)} \]
      6. Add Preprocessing

      Alternative 11: 75.3% accurate, 7.2× speedup?

      \[\begin{array}{l} \\ \sqrt{\left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (sqrt (* (+ (* (- 0.5 (* -0.3333333333333333 u1)) u1) 1.0) u1)))
      float code(float cosTheta_i, float u1, float u2) {
      	return sqrtf(((((0.5f - (-0.3333333333333333f * u1)) * u1) + 1.0f) * 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(((((0.5e0 - ((-0.3333333333333333e0) * u1)) * u1) + 1.0e0) * u1))
      end function
      
      function code(cosTheta_i, u1, u2)
      	return sqrt(Float32(Float32(Float32(Float32(Float32(0.5) - Float32(Float32(-0.3333333333333333) * u1)) * u1) + Float32(1.0)) * u1))
      end
      
      function tmp = code(cosTheta_i, u1, u2)
      	tmp = sqrt(((((single(0.5) - (single(-0.3333333333333333) * u1)) * u1) + single(1.0)) * u1));
      end
      
      \begin{array}{l}
      
      \\
      \sqrt{\left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1 + 1\right) \cdot u1}
      \end{array}
      
      Derivation
      1. Initial program 62.1%

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

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

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

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

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

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
        5. lift--.f3252.0

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
      5. Applied rewrites52.0%

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

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

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

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(\frac{1}{3} \cdot u1 + \frac{1}{2}\right) \cdot u1 + 1\right) \cdot u1} \]
        9. lift-*.f3274.2

          \[\leadsto \sqrt{\left(\left(0.3333333333333333 \cdot u1 + 0.5\right) \cdot u1 + 1\right) \cdot u1} \]
        10. lift-+.f32N/A

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

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

          \[\leadsto \sqrt{\left(\left(\frac{1}{2} + \frac{1}{3} \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
        13. fp-cancel-sign-sub-invN/A

          \[\leadsto \sqrt{\left(\left(\frac{1}{2} - \left(\mathsf{neg}\left(\frac{1}{3}\right)\right) \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
        14. metadata-evalN/A

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

          \[\leadsto \sqrt{\left(\left(\frac{1}{2} - \frac{-1}{3} \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
        16. lower-*.f3274.2

          \[\leadsto \sqrt{\left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
      8. Applied rewrites74.2%

        \[\leadsto \sqrt{\left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
      9. Final simplification74.2%

        \[\leadsto \sqrt{\left(\left(0.5 - -0.3333333333333333 \cdot u1\right) \cdot u1 + 1\right) \cdot u1} \]
      10. Add Preprocessing

      Alternative 12: 72.7% accurate, 9.6× speedup?

      \[\begin{array}{l} \\ \sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1} \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (sqrt (* (+ (* 0.5 u1) 1.0) u1)))
      float code(float cosTheta_i, float u1, float u2) {
      	return sqrtf((((0.5f * u1) + 1.0f) * 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((((0.5e0 * u1) + 1.0e0) * u1))
      end function
      
      function code(cosTheta_i, u1, u2)
      	return sqrt(Float32(Float32(Float32(Float32(0.5) * u1) + Float32(1.0)) * u1))
      end
      
      function tmp = code(cosTheta_i, u1, u2)
      	tmp = sqrt((((single(0.5) * u1) + single(1.0)) * u1));
      end
      
      \begin{array}{l}
      
      \\
      \sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1}
      \end{array}
      
      Derivation
      1. Initial program 62.1%

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

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

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

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

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

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
        5. lift--.f3252.0

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
      5. Applied rewrites52.0%

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

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

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

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

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

          \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1 + 1\right) \cdot u1} \]
        5. lower-*.f3271.3

          \[\leadsto \sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1} \]
      8. Applied rewrites71.3%

        \[\leadsto \sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1} \]
      9. Final simplification71.3%

        \[\leadsto \sqrt{\left(0.5 \cdot u1 + 1\right) \cdot u1} \]
      10. Add Preprocessing

      Alternative 13: 64.7% accurate, 21.0× speedup?

      \[\begin{array}{l} \\ \sqrt{u1} \end{array} \]
      (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(u1)
      end
      
      function tmp = code(cosTheta_i, u1, u2)
      	tmp = sqrt(u1);
      end
      
      \begin{array}{l}
      
      \\
      \sqrt{u1}
      \end{array}
      
      Derivation
      1. Initial program 62.1%

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

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

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

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

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

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
        5. lift--.f3252.0

          \[\leadsto \sqrt{\log \left(1 - u1\right) \cdot -1} \]
      5. Applied rewrites52.0%

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

        \[\leadsto \sqrt{u1} \]
      7. Step-by-step derivation
        1. Applied rewrites61.7%

          \[\leadsto \sqrt{u1} \]
        2. Final simplification61.7%

          \[\leadsto \sqrt{u1} \]
        3. Add Preprocessing

        Reproduce

        ?
        herbie shell --seed 2025065 
        (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))))