UniformSampleCone, y

Percentage Accurate: 57.7% → 98.3%
Time: 6.5s
Alternatives: 17
Speedup: 4.4×

Specification

?
\[\left(\left(2.328306437 \cdot 10^{-10} \leq ux \land ux \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq uy \land uy \leq 1\right)\right) \land \left(0 \leq maxCos \land maxCos \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - ux\right) + ux \cdot maxCos\\ \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0} \end{array} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos))))
   (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* t_0 t_0))))))
float code(float ux, float uy, float maxCos) {
	float t_0 = (1.0f - ux) + (ux * maxCos);
	return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf((1.0f - (t_0 * t_0)));
}
function code(ux, uy, maxCos)
	t_0 = Float32(Float32(Float32(1.0) - ux) + Float32(ux * maxCos))
	return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0))))
end
function tmp = code(ux, uy, maxCos)
	t_0 = (single(1.0) - ux) + (ux * maxCos);
	tmp = sin(((uy * single(2.0)) * single(pi))) * sqrt((single(1.0) - (t_0 * t_0)));
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}
\end{array}
\end{array}

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 17 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: 57.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - ux\right) + ux \cdot maxCos\\ \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0} \end{array} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos))))
   (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* t_0 t_0))))))
float code(float ux, float uy, float maxCos) {
	float t_0 = (1.0f - ux) + (ux * maxCos);
	return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf((1.0f - (t_0 * t_0)));
}
function code(ux, uy, maxCos)
	t_0 = Float32(Float32(Float32(1.0) - ux) + Float32(ux * maxCos))
	return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0))))
end
function tmp = code(ux, uy, maxCos)
	t_0 = (single(1.0) - ux) + (ux * maxCos);
	tmp = sin(((uy * single(2.0)) * single(pi))) * sqrt((single(1.0) - (t_0 * t_0)));
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}
\end{array}
\end{array}

Alternative 1: 98.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (*
  (sin (* (* uy 2.0) PI))
  (sqrt
   (*
    (- (- (fma (* (- ux) (- maxCos 1.0)) (- maxCos 1.0) 2.0) maxCos) maxCos)
    ux))))
float code(float ux, float uy, float maxCos) {
	return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf((((fmaf((-ux * (maxCos - 1.0f)), (maxCos - 1.0f), 2.0f) - maxCos) - maxCos) * ux));
}
function code(ux, uy, maxCos)
	return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(maxCos - Float32(1.0))), Float32(maxCos - Float32(1.0)), Float32(2.0)) - maxCos) - maxCos) * ux)))
end
\begin{array}{l}

\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}
\end{array}
Derivation
  1. Initial program 57.7%

    \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
  2. Taylor expanded in ux around 0

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
  3. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
    2. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
    3. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
    4. +-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    5. associate-*r*N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    6. mul-1-negN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    7. lower-fma.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    8. lower-neg.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    9. unpow2N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    10. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    11. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    12. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    13. count-2-revN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
    14. lower-+.f3298.3

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
  4. Applied rewrites98.3%

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
  5. Taylor expanded in maxCos around 0

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
  6. Step-by-step derivation
    1. lower-fma.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    2. lower-fma.f32N/A

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

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    4. unpow2N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    5. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    6. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    7. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    8. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    9. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    10. lower-+.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
    11. lower-*.f3298.3

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
  7. Applied rewrites98.3%

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
  8. Taylor expanded in ux around 0

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
  9. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
    2. mul-1-negN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
    3. distribute-lft-neg-outN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2}\right) - 2 \cdot maxCos\right) \cdot ux} \]
    4. pow2N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
    5. +-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    6. count-2-revN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
    7. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot \color{blue}{ux}} \]
  10. Applied rewrites98.3%

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}} \]
  11. Add Preprocessing

Alternative 2: 98.3% accurate, 1.0× speedup?

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

\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(\left(-maxCos\right) + 2\right) \cdot ux - 2, maxCos, -ux\right) + 2\right) \cdot ux}
\end{array}
Derivation
  1. Initial program 57.7%

    \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
  2. Taylor expanded in ux around 0

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
  3. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
    2. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
    3. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
    4. +-commutativeN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    5. associate-*r*N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    6. mul-1-negN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    7. lower-fma.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    8. lower-neg.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    9. unpow2N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    10. lower-*.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    11. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    12. lower--.f32N/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
    13. count-2-revN/A

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
    14. lower-+.f3298.3

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
  4. Applied rewrites98.3%

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
  5. Taylor expanded in maxCos around 0

    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
  6. Step-by-step derivation
    1. Applied rewrites97.0%

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
    2. Taylor expanded in maxCos around 0

      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
    3. Step-by-step derivation
      1. Applied rewrites96.8%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
      2. Taylor expanded in maxCos around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + \left(-1 \cdot ux + maxCos \cdot \left(\left(-1 \cdot \left(maxCos \cdot ux\right) + 2 \cdot ux\right) - 2\right)\right)\right) \cdot ux} \]
      3. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot ux + maxCos \cdot \left(\left(-1 \cdot \left(maxCos \cdot ux\right) + 2 \cdot ux\right) - 2\right)\right) + 2\right) \cdot ux} \]
        2. lower-+.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot ux + maxCos \cdot \left(\left(-1 \cdot \left(maxCos \cdot ux\right) + 2 \cdot ux\right) - 2\right)\right) + 2\right) \cdot ux} \]
      4. Applied rewrites98.3%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(\left(-maxCos\right) + 2\right) \cdot ux - 2, maxCos, -ux\right) + 2\right) \cdot ux} \]
      5. Add Preprocessing

      Alternative 3: 97.6% accurate, 1.0× speedup?

      \[\begin{array}{l} \\ \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(\left(ux + ux\right) - 2\right) \cdot ux\right) \cdot maxCos\right)} \end{array} \]
      (FPCore (ux uy maxCos)
       :precision binary32
       (*
        (sin (* (* uy 2.0) PI))
        (sqrt (fma (+ (- ux) 2.0) ux (* (* (- (+ ux ux) 2.0) ux) maxCos)))))
      float code(float ux, float uy, float maxCos) {
      	return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf(fmaf((-ux + 2.0f), ux, ((((ux + ux) - 2.0f) * ux) * maxCos)));
      }
      
      function code(ux, uy, maxCos)
      	return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(fma(Float32(Float32(-ux) + Float32(2.0)), ux, Float32(Float32(Float32(Float32(ux + ux) - Float32(2.0)) * ux) * maxCos))))
      end
      
      \begin{array}{l}
      
      \\
      \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(\left(ux + ux\right) - 2\right) \cdot ux\right) \cdot maxCos\right)}
      \end{array}
      
      Derivation
      1. Initial program 57.7%

        \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
      2. Taylor expanded in ux around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
      3. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
        2. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
        3. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
        4. +-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        5. associate-*r*N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        6. mul-1-negN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        7. lower-fma.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        8. lower-neg.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        9. unpow2N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        10. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        11. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        12. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        13. count-2-revN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
        14. lower-+.f3298.3

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
      4. Applied rewrites98.3%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
      5. Taylor expanded in maxCos around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
      6. Step-by-step derivation
        1. lower-fma.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        2. lower-fma.f32N/A

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

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        4. unpow2N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        5. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        6. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        7. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        8. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        9. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        10. lower-+.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
        11. lower-*.f3298.3

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
      7. Applied rewrites98.3%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
      8. Taylor expanded in maxCos around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
      9. Step-by-step derivation
        1. +-commutativeN/A

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

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux + maxCos \cdot \left(\color{blue}{ux} \cdot \left(2 \cdot ux - 2\right)\right)} \]
        3. lower-fma.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(2 + -1 \cdot ux, ux, maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right)\right)} \]
        4. +-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(-1 \cdot ux + 2, ux, maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right)\right)} \]
        5. lower-+.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(-1 \cdot ux + 2, ux, maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right)\right)} \]
        6. mul-1-negN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(\mathsf{neg}\left(ux\right)\right) + 2, ux, maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right)\right)} \]
        7. lift-neg.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, maxCos \cdot \left(ux \cdot \left(2 \cdot ux - 2\right)\right)\right)} \]
        8. *-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(ux \cdot \left(2 \cdot ux - 2\right)\right) \cdot maxCos\right)} \]
        9. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(ux \cdot \left(2 \cdot ux - 2\right)\right) \cdot maxCos\right)} \]
        10. *-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(2 \cdot ux - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
        11. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(2 \cdot ux - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
        12. lift--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(2 \cdot ux - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
        13. count-2-revN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(\left(ux + ux\right) - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
        14. lower-+.f3297.6

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, ux, \left(\left(\left(ux + ux\right) - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
      10. Applied rewrites97.6%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(\left(-ux\right) + 2, \color{blue}{ux}, \left(\left(\left(ux + ux\right) - 2\right) \cdot ux\right) \cdot maxCos\right)} \]
      11. Add Preprocessing

      Alternative 4: 97.6% accurate, 1.1× speedup?

      \[\begin{array}{l} \\ \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -ux\right) + 2\right) \cdot ux} \end{array} \]
      (FPCore (ux uy maxCos)
       :precision binary32
       (*
        (sin (* (* uy 2.0) PI))
        (sqrt (* (+ (fma (- (+ ux ux) 2.0) maxCos (- ux)) 2.0) ux))))
      float code(float ux, float uy, float maxCos) {
      	return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf(((fmaf(((ux + ux) - 2.0f), maxCos, -ux) + 2.0f) * ux));
      }
      
      function code(ux, uy, maxCos)
      	return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(fma(Float32(Float32(ux + ux) - Float32(2.0)), maxCos, Float32(-ux)) + Float32(2.0)) * ux)))
      end
      
      \begin{array}{l}
      
      \\
      \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -ux\right) + 2\right) \cdot ux}
      \end{array}
      
      Derivation
      1. Initial program 57.7%

        \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
      2. Taylor expanded in ux around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
      3. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
        2. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
        3. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
        4. +-commutativeN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        5. associate-*r*N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        6. mul-1-negN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        7. lower-fma.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        8. lower-neg.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        9. unpow2N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        10. lower-*.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        11. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        12. lower--.f32N/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
        13. count-2-revN/A

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
        14. lower-+.f3298.3

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
      4. Applied rewrites98.3%

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
      5. Taylor expanded in maxCos around 0

        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
      6. Step-by-step derivation
        1. Applied rewrites97.0%

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
        2. Taylor expanded in maxCos around 0

          \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
        3. Step-by-step derivation
          1. Applied rewrites96.8%

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
          2. Taylor expanded in maxCos around 0

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + \left(-1 \cdot ux + maxCos \cdot \left(2 \cdot ux - 2\right)\right)\right) \cdot ux} \]
          3. Step-by-step derivation
            1. +-commutativeN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot ux + maxCos \cdot \left(2 \cdot ux - 2\right)\right) + 2\right) \cdot ux} \]
            2. lower-+.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot ux + maxCos \cdot \left(2 \cdot ux - 2\right)\right) + 2\right) \cdot ux} \]
            3. +-commutativeN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(maxCos \cdot \left(2 \cdot ux - 2\right) + -1 \cdot ux\right) + 2\right) \cdot ux} \]
            4. *-commutativeN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(2 \cdot ux - 2\right) \cdot maxCos + -1 \cdot ux\right) + 2\right) \cdot ux} \]
            5. lower-fma.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(2 \cdot ux - 2, maxCos, -1 \cdot ux\right) + 2\right) \cdot ux} \]
            6. lift--.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(2 \cdot ux - 2, maxCos, -1 \cdot ux\right) + 2\right) \cdot ux} \]
            7. count-2-revN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -1 \cdot ux\right) + 2\right) \cdot ux} \]
            8. lower-+.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -1 \cdot ux\right) + 2\right) \cdot ux} \]
            9. mul-1-negN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, \mathsf{neg}\left(ux\right)\right) + 2\right) \cdot ux} \]
            10. lift-neg.f3297.6

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -ux\right) + 2\right) \cdot ux} \]
          4. Applied rewrites97.6%

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\left(ux + ux\right) - 2, maxCos, -ux\right) + 2\right) \cdot ux} \]
          5. Add Preprocessing

          Alternative 5: 96.8% accurate, 1.2× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;uy \leq 0.004000000189989805:\\ \;\;\;\;\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux}\\ \end{array} \end{array} \]
          (FPCore (ux uy maxCos)
           :precision binary32
           (if (<= uy 0.004000000189989805)
             (*
              (* uy (fma -1.3333333333333333 (* (* uy uy) (* (* PI PI) PI)) (* 2.0 PI)))
              (sqrt
               (*
                (- (- (fma (* (- ux) (- maxCos 1.0)) (- maxCos 1.0) 2.0) maxCos) maxCos)
                ux)))
             (* (sin (* (* uy 2.0) PI)) (sqrt (* (+ 2.0 (* -1.0 ux)) ux)))))
          float code(float ux, float uy, float maxCos) {
          	float tmp;
          	if (uy <= 0.004000000189989805f) {
          		tmp = (uy * fmaf(-1.3333333333333333f, ((uy * uy) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), (2.0f * ((float) M_PI)))) * sqrtf((((fmaf((-ux * (maxCos - 1.0f)), (maxCos - 1.0f), 2.0f) - maxCos) - maxCos) * ux));
          	} else {
          		tmp = sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf(((2.0f + (-1.0f * ux)) * ux));
          	}
          	return tmp;
          }
          
          function code(ux, uy, maxCos)
          	tmp = Float32(0.0)
          	if (uy <= Float32(0.004000000189989805))
          		tmp = Float32(Float32(uy * fma(Float32(-1.3333333333333333), Float32(Float32(uy * uy) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(Float32(2.0) * Float32(pi)))) * sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(maxCos - Float32(1.0))), Float32(maxCos - Float32(1.0)), Float32(2.0)) - maxCos) - maxCos) * ux)));
          	else
          		tmp = Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(Float32(2.0) + Float32(Float32(-1.0) * ux)) * ux)));
          	end
          	return tmp
          end
          
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          \mathbf{if}\;uy \leq 0.004000000189989805:\\
          \;\;\;\;\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}\\
          
          \mathbf{else}:\\
          \;\;\;\;\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux}\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 2 regimes
          2. if uy < 0.00400000019

            1. Initial program 57.7%

              \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            2. Taylor expanded in ux around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
            3. Step-by-step derivation
              1. *-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
              2. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
              3. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
              4. +-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              5. associate-*r*N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              6. mul-1-negN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              7. lower-fma.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              8. lower-neg.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              9. unpow2N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              10. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              11. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              12. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              13. count-2-revN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              14. lower-+.f3298.3

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
            4. Applied rewrites98.3%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
            5. Taylor expanded in maxCos around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
            6. Step-by-step derivation
              1. lower-fma.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              2. lower-fma.f32N/A

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

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              4. unpow2N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              5. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              6. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              7. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              8. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              9. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              10. lower-+.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              11. lower-*.f3298.3

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
            7. Applied rewrites98.3%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
            8. Taylor expanded in ux around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
            9. Step-by-step derivation
              1. *-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
              2. mul-1-negN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
              3. distribute-lft-neg-outN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2}\right) - 2 \cdot maxCos\right) \cdot ux} \]
              4. pow2N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
              5. +-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              6. count-2-revN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              7. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot \color{blue}{ux}} \]
            10. Applied rewrites98.3%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}} \]
            11. Taylor expanded in uy around 0

              \[\leadsto \color{blue}{\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
            12. Step-by-step derivation
              1. lower-*.f32N/A

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

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              3. pow2N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              4. pow3N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              5. lift-*.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              6. lift-*.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              7. lift-PI.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              8. lift-PI.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              9. lift-*.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              10. lift-PI.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              11. lift-*.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \color{blue}{\left(\left(\pi \cdot \pi\right) \cdot \pi\right)}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              12. lower-*.f32N/A

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              13. lift-PI.f3289.2

                \[\leadsto \left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
            13. Applied rewrites89.2%

              \[\leadsto \color{blue}{\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]

            if 0.00400000019 < uy

            1. Initial program 57.7%

              \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            2. Taylor expanded in ux around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
            3. Step-by-step derivation
              1. *-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
              2. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
              3. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
              4. +-commutativeN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              5. associate-*r*N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              6. mul-1-negN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              7. lower-fma.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              8. lower-neg.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              9. unpow2N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              10. lower-*.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              11. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              12. lower--.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
              13. count-2-revN/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              14. lower-+.f3298.3

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
            4. Applied rewrites98.3%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
            5. Taylor expanded in maxCos around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux} \]
            6. Step-by-step derivation
              1. lower-+.f32N/A

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux} \]
              2. lower-*.f3292.1

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux} \]
            7. Applied rewrites92.1%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(2 + -1 \cdot ux\right) \cdot ux} \]
          3. Recombined 2 regimes into one program.
          4. Add Preprocessing

          Alternative 6: 96.7% accurate, 1.1× speedup?

          \[\begin{array}{l} \\ \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot -1, -1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \cdot \sin \left(\left(uy + uy\right) \cdot \pi\right) \end{array} \]
          (FPCore (ux uy maxCos)
           :precision binary32
           (*
            (sqrt (* (- (- (fma (* (- ux) -1.0) -1.0 2.0) maxCos) maxCos) ux))
            (sin (* (+ uy uy) PI))))
          float code(float ux, float uy, float maxCos) {
          	return sqrtf((((fmaf((-ux * -1.0f), -1.0f, 2.0f) - maxCos) - maxCos) * ux)) * sinf(((uy + uy) * ((float) M_PI)));
          }
          
          function code(ux, uy, maxCos)
          	return Float32(sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(-1.0)), Float32(-1.0), Float32(2.0)) - maxCos) - maxCos) * ux)) * sin(Float32(Float32(uy + uy) * Float32(pi))))
          end
          
          \begin{array}{l}
          
          \\
          \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot -1, -1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \cdot \sin \left(\left(uy + uy\right) \cdot \pi\right)
          \end{array}
          
          Derivation
          1. Initial program 57.7%

            \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          2. Taylor expanded in ux around 0

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
          3. Step-by-step derivation
            1. *-commutativeN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
            2. lower-*.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
            3. lower--.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
            4. +-commutativeN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            5. associate-*r*N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            6. mul-1-negN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            7. lower-fma.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            8. lower-neg.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            9. unpow2N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            10. lower-*.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            11. lower--.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            12. lower--.f32N/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
            13. count-2-revN/A

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
            14. lower-+.f3298.3

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
          4. Applied rewrites98.3%

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
          5. Taylor expanded in maxCos around 0

            \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
          6. Step-by-step derivation
            1. Applied rewrites97.0%

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
            2. Taylor expanded in maxCos around 0

              \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
            3. Step-by-step derivation
              1. Applied rewrites96.8%

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              2. Step-by-step derivation
                1. lift-*.f32N/A

                  \[\leadsto \color{blue}{\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
                2. *-commutativeN/A

                  \[\leadsto \color{blue}{\sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \left(\left(uy \cdot 2\right) \cdot \pi\right)} \]
                3. lift-sin.f32N/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \color{blue}{\sin \left(\left(uy \cdot 2\right) \cdot \pi\right)} \]
                4. lift-PI.f32N/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \left(\left(uy \cdot 2\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                5. lift-*.f32N/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \color{blue}{\left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right)} \]
                6. lift-*.f32N/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \left(\color{blue}{\left(uy \cdot 2\right)} \cdot \mathsf{PI}\left(\right)\right) \]
                7. *-commutativeN/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \left(\color{blue}{\left(2 \cdot uy\right)} \cdot \mathsf{PI}\left(\right)\right) \]
                8. associate-*r*N/A

                  \[\leadsto \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \color{blue}{\left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                9. lower-*.f32N/A

                  \[\leadsto \color{blue}{\sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
              3. Applied rewrites96.8%

                \[\leadsto \color{blue}{\sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot -1, -1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \cdot \sin \left(\left(uy + uy\right) \cdot \pi\right)} \]
              4. Add Preprocessing

              Alternative 7: 94.4% accurate, 1.2× speedup?

              \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;uy \leq 0.03999999910593033:\\ \;\;\;\;\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\sin \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\\ \end{array} \end{array} \]
              (FPCore (ux uy maxCos)
               :precision binary32
               (if (<= uy 0.03999999910593033)
                 (*
                  (* uy (fma -1.3333333333333333 (* (* uy uy) (* (* PI PI) PI)) (* 2.0 PI)))
                  (sqrt
                   (*
                    (- (- (fma (* (- ux) (- maxCos 1.0)) (- maxCos 1.0) 2.0) maxCos) maxCos)
                    ux)))
                 (* (sin (* PI (+ uy uy))) (sqrt (* (fma -2.0 maxCos 2.0) ux)))))
              float code(float ux, float uy, float maxCos) {
              	float tmp;
              	if (uy <= 0.03999999910593033f) {
              		tmp = (uy * fmaf(-1.3333333333333333f, ((uy * uy) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), (2.0f * ((float) M_PI)))) * sqrtf((((fmaf((-ux * (maxCos - 1.0f)), (maxCos - 1.0f), 2.0f) - maxCos) - maxCos) * ux));
              	} else {
              		tmp = sinf((((float) M_PI) * (uy + uy))) * sqrtf((fmaf(-2.0f, maxCos, 2.0f) * ux));
              	}
              	return tmp;
              }
              
              function code(ux, uy, maxCos)
              	tmp = Float32(0.0)
              	if (uy <= Float32(0.03999999910593033))
              		tmp = Float32(Float32(uy * fma(Float32(-1.3333333333333333), Float32(Float32(uy * uy) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(Float32(2.0) * Float32(pi)))) * sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(maxCos - Float32(1.0))), Float32(maxCos - Float32(1.0)), Float32(2.0)) - maxCos) - maxCos) * ux)));
              	else
              		tmp = Float32(sin(Float32(Float32(pi) * Float32(uy + uy))) * sqrt(Float32(fma(Float32(-2.0), maxCos, Float32(2.0)) * ux)));
              	end
              	return tmp
              end
              
              \begin{array}{l}
              
              \\
              \begin{array}{l}
              \mathbf{if}\;uy \leq 0.03999999910593033:\\
              \;\;\;\;\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}\\
              
              \mathbf{else}:\\
              \;\;\;\;\sin \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\\
              
              
              \end{array}
              \end{array}
              
              Derivation
              1. Split input into 2 regimes
              2. if uy < 0.0399999991

                1. Initial program 57.7%

                  \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                2. Taylor expanded in ux around 0

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
                3. Step-by-step derivation
                  1. *-commutativeN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                  2. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                  3. lower--.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  4. +-commutativeN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  5. associate-*r*N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  6. mul-1-negN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  7. lower-fma.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  8. lower-neg.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  9. unpow2N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  10. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  11. lower--.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  12. lower--.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  13. count-2-revN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  14. lower-+.f3298.3

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                4. Applied rewrites98.3%

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
                5. Taylor expanded in maxCos around 0

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
                6. Step-by-step derivation
                  1. lower-fma.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  2. lower-fma.f32N/A

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

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  4. unpow2N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  5. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  6. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  7. lower--.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  8. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  9. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  10. lower-+.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  11. lower-*.f3298.3

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                7. Applied rewrites98.3%

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                8. Taylor expanded in ux around 0

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
                9. Step-by-step derivation
                  1. *-commutativeN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                  2. mul-1-negN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  3. distribute-lft-neg-outN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2}\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  4. pow2N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  5. +-commutativeN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                  6. count-2-revN/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  7. lower-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot \color{blue}{ux}} \]
                10. Applied rewrites98.3%

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}} \]
                11. Taylor expanded in uy around 0

                  \[\leadsto \color{blue}{\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                12. Step-by-step derivation
                  1. lower-*.f32N/A

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

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  3. pow2N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  4. pow3N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  5. lift-*.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  6. lift-*.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  7. lift-PI.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  8. lift-PI.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  9. lift-*.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  10. lift-PI.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  11. lift-*.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \color{blue}{\left(\left(\pi \cdot \pi\right) \cdot \pi\right)}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  12. lower-*.f32N/A

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  13. lift-PI.f3289.2

                    \[\leadsto \left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                13. Applied rewrites89.2%

                  \[\leadsto \color{blue}{\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]

                if 0.0399999991 < uy

                1. Initial program 57.7%

                  \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                2. Taylor expanded in ux around 0

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

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

                    \[\leadsto \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \color{blue}{\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}} \]
                  3. associate-*r*N/A

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

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  5. lift-*.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux} \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  6. lift-*.f32N/A

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

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  8. lift-sin.f32N/A

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(2 - 2 \cdot maxCos\right)}} \]
                  9. lift-*.f32N/A

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

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

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux} \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  12. *-commutativeN/A

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

                    \[\leadsto \sin \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{ux} \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  14. lift-PI.f32N/A

                    \[\leadsto \sin \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  15. *-commutativeN/A

                    \[\leadsto \sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  16. count-2-revN/A

                    \[\leadsto \sin \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  17. lower-+.f32N/A

                    \[\leadsto \sin \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                  18. lower-sqrt.f32N/A

                    \[\leadsto \sin \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \]
                4. Applied rewrites76.3%

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

              Alternative 8: 89.2% accurate, 1.3× speedup?

              \[\begin{array}{l} \\ \left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \end{array} \]
              (FPCore (ux uy maxCos)
               :precision binary32
               (*
                (* uy (fma -1.3333333333333333 (* (* uy uy) (* (* PI PI) PI)) (* 2.0 PI)))
                (sqrt
                 (*
                  (- (- (fma (* (- ux) (- maxCos 1.0)) (- maxCos 1.0) 2.0) maxCos) maxCos)
                  ux))))
              float code(float ux, float uy, float maxCos) {
              	return (uy * fmaf(-1.3333333333333333f, ((uy * uy) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), (2.0f * ((float) M_PI)))) * sqrtf((((fmaf((-ux * (maxCos - 1.0f)), (maxCos - 1.0f), 2.0f) - maxCos) - maxCos) * ux));
              }
              
              function code(ux, uy, maxCos)
              	return Float32(Float32(uy * fma(Float32(-1.3333333333333333), Float32(Float32(uy * uy) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(Float32(2.0) * Float32(pi)))) * sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(maxCos - Float32(1.0))), Float32(maxCos - Float32(1.0)), Float32(2.0)) - maxCos) - maxCos) * ux)))
              end
              
              \begin{array}{l}
              
              \\
              \left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}
              \end{array}
              
              Derivation
              1. Initial program 57.7%

                \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
              2. Taylor expanded in ux around 0

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
              3. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                2. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                3. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                4. +-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                5. associate-*r*N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                6. mul-1-negN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                7. lower-fma.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                8. lower-neg.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                9. unpow2N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                10. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                11. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                12. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                13. count-2-revN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                14. lower-+.f3298.3

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              4. Applied rewrites98.3%

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
              5. Taylor expanded in maxCos around 0

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
              6. Step-by-step derivation
                1. lower-fma.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                2. lower-fma.f32N/A

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

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                4. unpow2N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                5. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                6. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                7. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                8. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                9. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                10. lower-+.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                11. lower-*.f3298.3

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              7. Applied rewrites98.3%

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
              8. Taylor expanded in ux around 0

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
              9. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                2. mul-1-negN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                3. distribute-lft-neg-outN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2}\right) - 2 \cdot maxCos\right) \cdot ux} \]
                4. pow2N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                5. +-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                6. count-2-revN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                7. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot \color{blue}{ux}} \]
              10. Applied rewrites98.3%

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}} \]
              11. Taylor expanded in uy around 0

                \[\leadsto \color{blue}{\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              12. Step-by-step derivation
                1. lower-*.f32N/A

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

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                3. pow2N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                4. pow3N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                5. lift-*.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                6. lift-*.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                7. lift-PI.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                8. lift-PI.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \mathsf{PI}\left(\right)\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                9. lift-*.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                10. lift-PI.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                11. lift-*.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \color{blue}{\left(\left(\pi \cdot \pi\right) \cdot \pi\right)}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                12. lower-*.f32N/A

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(\frac{-4}{3}, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                13. lift-PI.f3289.2

                  \[\leadsto \left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              13. Applied rewrites89.2%

                \[\leadsto \color{blue}{\left(uy \cdot \mathsf{fma}\left(-1.3333333333333333, \left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), 2 \cdot \pi\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
              14. Add Preprocessing

              Alternative 9: 87.9% accurate, 1.5× speedup?

              \[\begin{array}{l} \\ \left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot uy\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \end{array} \]
              (FPCore (ux uy maxCos)
               :precision binary32
               (*
                (* (fma (* (* uy uy) (* (* PI PI) PI)) -1.3333333333333333 (+ PI PI)) uy)
                (sqrt (* (- (fma (- ux) (* -1.0 -1.0) 2.0) (+ maxCos maxCos)) ux))))
              float code(float ux, float uy, float maxCos) {
              	return (fmaf(((uy * uy) * ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI))), -1.3333333333333333f, (((float) M_PI) + ((float) M_PI))) * uy) * sqrtf(((fmaf(-ux, (-1.0f * -1.0f), 2.0f) - (maxCos + maxCos)) * ux));
              }
              
              function code(ux, uy, maxCos)
              	return Float32(Float32(fma(Float32(Float32(uy * uy) * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi))), Float32(-1.3333333333333333), Float32(Float32(pi) + Float32(pi))) * uy) * sqrt(Float32(Float32(fma(Float32(-ux), Float32(Float32(-1.0) * Float32(-1.0)), Float32(2.0)) - Float32(maxCos + maxCos)) * ux)))
              end
              
              \begin{array}{l}
              
              \\
              \left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot uy\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}
              \end{array}
              
              Derivation
              1. Initial program 57.7%

                \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
              2. Taylor expanded in ux around 0

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
              3. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                2. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                3. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                4. +-commutativeN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                5. associate-*r*N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                6. mul-1-negN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                7. lower-fma.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                8. lower-neg.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                9. unpow2N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                10. lower-*.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                11. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                12. lower--.f32N/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                13. count-2-revN/A

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                14. lower-+.f3298.3

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              4. Applied rewrites98.3%

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
              5. Taylor expanded in maxCos around 0

                \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
              6. Step-by-step derivation
                1. Applied rewrites97.0%

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                2. Taylor expanded in maxCos around 0

                  \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                3. Step-by-step derivation
                  1. Applied rewrites96.8%

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  2. Taylor expanded in uy around 0

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

                      \[\leadsto \left(\left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{uy}\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    2. lower-*.f32N/A

                      \[\leadsto \left(\left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{uy}\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  4. Applied rewrites87.9%

                    \[\leadsto \color{blue}{\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right), -1.3333333333333333, \pi + \pi\right) \cdot uy\right)} \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  5. Add Preprocessing

                  Alternative 10: 81.5% accurate, 2.0× speedup?

                  \[\begin{array}{l} \\ \left(2 \cdot \left(uy \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \end{array} \]
                  (FPCore (ux uy maxCos)
                   :precision binary32
                   (*
                    (* 2.0 (* uy PI))
                    (sqrt
                     (*
                      (- (- (fma (* (- ux) (- maxCos 1.0)) (- maxCos 1.0) 2.0) maxCos) maxCos)
                      ux))))
                  float code(float ux, float uy, float maxCos) {
                  	return (2.0f * (uy * ((float) M_PI))) * sqrtf((((fmaf((-ux * (maxCos - 1.0f)), (maxCos - 1.0f), 2.0f) - maxCos) - maxCos) * ux));
                  }
                  
                  function code(ux, uy, maxCos)
                  	return Float32(Float32(Float32(2.0) * Float32(uy * Float32(pi))) * sqrt(Float32(Float32(Float32(fma(Float32(Float32(-ux) * Float32(maxCos - Float32(1.0))), Float32(maxCos - Float32(1.0)), Float32(2.0)) - maxCos) - maxCos) * ux)))
                  end
                  
                  \begin{array}{l}
                  
                  \\
                  \left(2 \cdot \left(uy \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}
                  \end{array}
                  
                  Derivation
                  1. Initial program 57.7%

                    \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  2. Taylor expanded in ux around 0

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
                  3. Step-by-step derivation
                    1. *-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                    2. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                    3. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    4. +-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    5. associate-*r*N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    6. mul-1-negN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    7. lower-fma.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    8. lower-neg.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    9. unpow2N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    10. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    11. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    12. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    13. count-2-revN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    14. lower-+.f3298.3

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  4. Applied rewrites98.3%

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
                  5. Taylor expanded in maxCos around 0

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{maxCos \cdot \left(-1 \cdot \left(maxCos \cdot {ux}^{2}\right) + ux \cdot \left(2 \cdot ux - 2\right)\right) + \color{blue}{ux \cdot \left(2 + -1 \cdot ux\right)}} \]
                  6. Step-by-step derivation
                    1. lower-fma.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, -1 \cdot \left(maxCos \cdot {ux}^{2}\right) + \color{blue}{ux \cdot \left(2 \cdot ux - 2\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    2. lower-fma.f32N/A

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

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot {ux}^{\color{blue}{2}}, ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    4. unpow2N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    5. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    6. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    7. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    8. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    9. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    10. lower-+.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                    11. lower-*.f3298.3

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right), ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  7. Applied rewrites98.3%

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\mathsf{fma}\left(maxCos, \color{blue}{\mathsf{fma}\left(-1, maxCos \cdot \left(ux \cdot ux\right), ux \cdot \left(2 \cdot ux - 2\right)\right)}, ux \cdot \left(2 + -1 \cdot ux\right)\right)} \]
                  8. Taylor expanded in ux around 0

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
                  9. Step-by-step derivation
                    1. *-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                    2. mul-1-negN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    3. distribute-lft-neg-outN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2}\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    4. pow2N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + \left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    5. +-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    6. count-2-revN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    7. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot \left(\left(maxCos - 1\right) \cdot \left(maxCos - 1\right)\right) + 2\right) - \left(maxCos + maxCos\right)\right) \cdot \color{blue}{ux}} \]
                  10. Applied rewrites98.3%

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux}} \]
                  11. Taylor expanded in uy around 0

                    \[\leadsto \color{blue}{\left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  12. Step-by-step derivation
                    1. lower-*.f32N/A

                      \[\leadsto \left(2 \cdot \color{blue}{\left(uy \cdot \mathsf{PI}\left(\right)\right)}\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                    2. lower-*.f32N/A

                      \[\leadsto \left(2 \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                    3. lift-PI.f3281.5

                      \[\leadsto \left(2 \cdot \left(uy \cdot \pi\right)\right) \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  13. Applied rewrites81.5%

                    \[\leadsto \color{blue}{\left(2 \cdot \left(uy \cdot \pi\right)\right)} \cdot \sqrt{\left(\left(\mathsf{fma}\left(\left(-ux\right) \cdot \left(maxCos - 1\right), maxCos - 1, 2\right) - maxCos\right) - maxCos\right) \cdot ux} \]
                  14. Add Preprocessing

                  Alternative 11: 80.5% accurate, 2.3× speedup?

                  \[\begin{array}{l} \\ \left(\left(uy + uy\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \end{array} \]
                  (FPCore (ux uy maxCos)
                   :precision binary32
                   (*
                    (* (+ uy uy) PI)
                    (sqrt (* (- (fma (- ux) (* -1.0 -1.0) 2.0) (+ maxCos maxCos)) ux))))
                  float code(float ux, float uy, float maxCos) {
                  	return ((uy + uy) * ((float) M_PI)) * sqrtf(((fmaf(-ux, (-1.0f * -1.0f), 2.0f) - (maxCos + maxCos)) * ux));
                  }
                  
                  function code(ux, uy, maxCos)
                  	return Float32(Float32(Float32(uy + uy) * Float32(pi)) * sqrt(Float32(Float32(fma(Float32(-ux), Float32(Float32(-1.0) * Float32(-1.0)), Float32(2.0)) - Float32(maxCos + maxCos)) * ux)))
                  end
                  
                  \begin{array}{l}
                  
                  \\
                  \left(\left(uy + uy\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}
                  \end{array}
                  
                  Derivation
                  1. Initial program 57.7%

                    \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  2. Taylor expanded in ux around 0

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{ux \cdot \left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right)}} \]
                  3. Step-by-step derivation
                    1. *-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                    2. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot \color{blue}{ux}} \]
                    3. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right)\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    4. +-commutativeN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(-1 \cdot \left(ux \cdot {\left(maxCos - 1\right)}^{2}\right) + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    5. associate-*r*N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(-1 \cdot ux\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    6. mul-1-negN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\left(\left(\mathsf{neg}\left(ux\right)\right) \cdot {\left(maxCos - 1\right)}^{2} + 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    7. lower-fma.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(\mathsf{neg}\left(ux\right), {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    8. lower-neg.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, {\left(maxCos - 1\right)}^{2}, 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    9. unpow2N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    10. lower-*.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    11. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    12. lower--.f32N/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - 2 \cdot maxCos\right) \cdot ux} \]
                    13. count-2-revN/A

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    14. lower-+.f3298.3

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  4. Applied rewrites98.3%

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{\left(\mathsf{fma}\left(-ux, \left(maxCos - 1\right) \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux}} \]
                  5. Taylor expanded in maxCos around 0

                    \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                  6. Step-by-step derivation
                    1. Applied rewrites97.0%

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot \left(maxCos - 1\right), 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    2. Taylor expanded in maxCos around 0

                      \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                    3. Step-by-step derivation
                      1. Applied rewrites96.8%

                        \[\leadsto \sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                      2. Taylor expanded in uy around 0

                        \[\leadsto \color{blue}{\left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                      3. Step-by-step derivation
                        1. associate-*r*N/A

                          \[\leadsto \left(\left(2 \cdot uy\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                        2. count-2-revN/A

                          \[\leadsto \left(\left(uy + uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                        3. lift-+.f32N/A

                          \[\leadsto \left(\left(uy + uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                        4. lower-*.f32N/A

                          \[\leadsto \left(\left(uy + uy\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                        5. lift-PI.f3280.5

                          \[\leadsto \left(\left(uy + uy\right) \cdot \pi\right) \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                      4. Applied rewrites80.5%

                        \[\leadsto \color{blue}{\left(\left(uy + uy\right) \cdot \pi\right)} \cdot \sqrt{\left(\mathsf{fma}\left(-ux, -1 \cdot -1, 2\right) - \left(maxCos + maxCos\right)\right) \cdot ux} \]
                      5. Add Preprocessing

                      Alternative 12: 75.5% accurate, 2.6× speedup?

                      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;ux \leq 9.999999747378752 \cdot 10^{-5}:\\ \;\;\;\;\left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(1 - ux\right)}\\ \end{array} \end{array} \]
                      (FPCore (ux uy maxCos)
                       :precision binary32
                       (if (<= ux 9.999999747378752e-5)
                         (* (* 2.0 (* (sqrt (fma -2.0 maxCos 2.0)) (sqrt ux))) (* PI uy))
                         (* (* PI (+ uy uy)) (sqrt (- 1.0 (* (- 1.0 ux) (- 1.0 ux)))))))
                      float code(float ux, float uy, float maxCos) {
                      	float tmp;
                      	if (ux <= 9.999999747378752e-5f) {
                      		tmp = (2.0f * (sqrtf(fmaf(-2.0f, maxCos, 2.0f)) * sqrtf(ux))) * (((float) M_PI) * uy);
                      	} else {
                      		tmp = (((float) M_PI) * (uy + uy)) * sqrtf((1.0f - ((1.0f - ux) * (1.0f - ux))));
                      	}
                      	return tmp;
                      }
                      
                      function code(ux, uy, maxCos)
                      	tmp = Float32(0.0)
                      	if (ux <= Float32(9.999999747378752e-5))
                      		tmp = Float32(Float32(Float32(2.0) * Float32(sqrt(fma(Float32(-2.0), maxCos, Float32(2.0))) * sqrt(ux))) * Float32(Float32(pi) * uy));
                      	else
                      		tmp = Float32(Float32(Float32(pi) * Float32(uy + uy)) * sqrt(Float32(Float32(1.0) - Float32(Float32(Float32(1.0) - ux) * Float32(Float32(1.0) - ux)))));
                      	end
                      	return tmp
                      end
                      
                      \begin{array}{l}
                      
                      \\
                      \begin{array}{l}
                      \mathbf{if}\;ux \leq 9.999999747378752 \cdot 10^{-5}:\\
                      \;\;\;\;\left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right)\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(1 - ux\right)}\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 2 regimes
                      2. if ux < 9.99999975e-5

                        1. Initial program 57.7%

                          \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        2. Taylor expanded in uy around 0

                          \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                        3. Step-by-step derivation
                          1. associate-*r*N/A

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

                            \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          3. *-commutativeN/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          4. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          5. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          6. lift-PI.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          7. lower-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          8. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          9. lift-PI.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          10. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          11. *-commutativeN/A

                            \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          12. lower-*.f32N/A

                            \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          13. lift-PI.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          14. *-commutativeN/A

                            \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          15. count-2-revN/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          16. lower-+.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          17. lower-sqrt.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          18. lower--.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                        4. Applied rewrites50.7%

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

                          \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                        6. Step-by-step derivation
                          1. Applied rewrites7.1%

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                          2. Taylor expanded in ux around 0

                            \[\leadsto 2 \cdot \color{blue}{\left(\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                          3. Step-by-step derivation
                            1. associate-*r*N/A

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

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                            3. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            4. lower-sqrt.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            5. *-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            6. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            7. fp-cancel-sub-sign-invN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 + \left(\mathsf{neg}\left(2\right)\right) \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            8. metadata-evalN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 + -2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            9. +-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            10. lower-fma.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            11. *-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                            12. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                            13. lift-PI.f3265.7

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                          4. Applied rewrites65.7%

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

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            2. lift-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            3. lift-fma.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            4. sqrt-prodN/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            5. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            6. lower-sqrt.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            7. lift-fma.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            8. lower-sqrt.f3265.8

                              \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                          6. Applied rewrites65.8%

                            \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]

                          if 9.99999975e-5 < ux

                          1. Initial program 57.7%

                            \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          2. Taylor expanded in uy around 0

                            \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                          3. Step-by-step derivation
                            1. associate-*r*N/A

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

                              \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            3. *-commutativeN/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            4. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            5. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            6. lift-PI.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            7. lower-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            8. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            9. lift-PI.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            10. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            11. *-commutativeN/A

                              \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            12. lower-*.f32N/A

                              \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            13. lift-PI.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            14. *-commutativeN/A

                              \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            15. count-2-revN/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            16. lower-+.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            17. lower-sqrt.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            18. lower--.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          4. Applied rewrites50.7%

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

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(\mathsf{fma}\left(maxCos, ux, 1\right) - ux\right)} \]
                          6. Step-by-step derivation
                            1. lift--.f3249.4

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(\mathsf{fma}\left(maxCos, ux, 1\right) - ux\right)} \]
                          7. Applied rewrites49.4%

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(\mathsf{fma}\left(maxCos, ux, 1\right) - ux\right)} \]
                          8. Taylor expanded in maxCos around 0

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(1 - ux\right)} \]
                          9. Step-by-step derivation
                            1. lift--.f3249.2

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(1 - ux\right)} \]
                          10. Applied rewrites49.2%

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(1 - ux\right)} \]
                        7. Recombined 2 regimes into one program.
                        8. Add Preprocessing

                        Alternative 13: 65.8% accurate, 3.0× speedup?

                        \[\begin{array}{l} \\ \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \end{array} \]
                        (FPCore (ux uy maxCos)
                         :precision binary32
                         (* (* 2.0 (* (sqrt (fma -2.0 maxCos 2.0)) (sqrt ux))) (* PI uy)))
                        float code(float ux, float uy, float maxCos) {
                        	return (2.0f * (sqrtf(fmaf(-2.0f, maxCos, 2.0f)) * sqrtf(ux))) * (((float) M_PI) * uy);
                        }
                        
                        function code(ux, uy, maxCos)
                        	return Float32(Float32(Float32(2.0) * Float32(sqrt(fma(Float32(-2.0), maxCos, Float32(2.0))) * sqrt(ux))) * Float32(Float32(pi) * uy))
                        end
                        
                        \begin{array}{l}
                        
                        \\
                        \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right)
                        \end{array}
                        
                        Derivation
                        1. Initial program 57.7%

                          \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        2. Taylor expanded in uy around 0

                          \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                        3. Step-by-step derivation
                          1. associate-*r*N/A

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

                            \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          3. *-commutativeN/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          4. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          5. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          6. lift-PI.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          7. lower-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          8. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          9. lift-PI.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          10. lift-*.f32N/A

                            \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          11. *-commutativeN/A

                            \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          12. lower-*.f32N/A

                            \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          13. lift-PI.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          14. *-commutativeN/A

                            \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          15. count-2-revN/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          16. lower-+.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                          17. lower-sqrt.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          18. lower--.f32N/A

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                        4. Applied rewrites50.7%

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

                          \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                        6. Step-by-step derivation
                          1. Applied rewrites7.1%

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                          2. Taylor expanded in ux around 0

                            \[\leadsto 2 \cdot \color{blue}{\left(\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                          3. Step-by-step derivation
                            1. associate-*r*N/A

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

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                            3. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            4. lower-sqrt.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            5. *-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            6. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            7. fp-cancel-sub-sign-invN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 + \left(\mathsf{neg}\left(2\right)\right) \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            8. metadata-evalN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(2 + -2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            9. +-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            10. lower-fma.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                            11. *-commutativeN/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                            12. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                            13. lift-PI.f3265.7

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                          4. Applied rewrites65.7%

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

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            2. lift-*.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            3. lift-fma.f32N/A

                              \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            4. sqrt-prodN/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            5. lower-*.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            6. lower-sqrt.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{-2 \cdot maxCos + 2} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            7. lift-fma.f32N/A

                              \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                            8. lower-sqrt.f3265.8

                              \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                          6. Applied rewrites65.8%

                            \[\leadsto \left(2 \cdot \left(\sqrt{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot \sqrt{ux}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                          7. Add Preprocessing

                          Alternative 14: 65.7% accurate, 3.3× speedup?

                          \[\begin{array}{l} \\ \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \end{array} \]
                          (FPCore (ux uy maxCos)
                           :precision binary32
                           (* (* 2.0 (sqrt (* (fma -2.0 maxCos 2.0) ux))) (* PI uy)))
                          float code(float ux, float uy, float maxCos) {
                          	return (2.0f * sqrtf((fmaf(-2.0f, maxCos, 2.0f) * ux))) * (((float) M_PI) * uy);
                          }
                          
                          function code(ux, uy, maxCos)
                          	return Float32(Float32(Float32(2.0) * sqrt(Float32(fma(Float32(-2.0), maxCos, Float32(2.0)) * ux))) * Float32(Float32(pi) * uy))
                          end
                          
                          \begin{array}{l}
                          
                          \\
                          \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right)
                          \end{array}
                          
                          Derivation
                          1. Initial program 57.7%

                            \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          2. Taylor expanded in uy around 0

                            \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                          3. Step-by-step derivation
                            1. associate-*r*N/A

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

                              \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            3. *-commutativeN/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            4. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            5. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            6. lift-PI.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            7. lower-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            8. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            9. lift-PI.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            10. lift-*.f32N/A

                              \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            11. *-commutativeN/A

                              \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            12. lower-*.f32N/A

                              \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            13. lift-PI.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            14. *-commutativeN/A

                              \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            15. count-2-revN/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            16. lower-+.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                            17. lower-sqrt.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            18. lower--.f32N/A

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                          4. Applied rewrites50.7%

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

                            \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                          6. Step-by-step derivation
                            1. Applied rewrites7.1%

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                            2. Taylor expanded in ux around 0

                              \[\leadsto 2 \cdot \color{blue}{\left(\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                            3. Step-by-step derivation
                              1. associate-*r*N/A

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

                                \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                              3. lower-*.f32N/A

                                \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              4. lower-sqrt.f32N/A

                                \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              5. *-commutativeN/A

                                \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              6. lower-*.f32N/A

                                \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              7. fp-cancel-sub-sign-invN/A

                                \[\leadsto \left(2 \cdot \sqrt{\left(2 + \left(\mathsf{neg}\left(2\right)\right) \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              8. metadata-evalN/A

                                \[\leadsto \left(2 \cdot \sqrt{\left(2 + -2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              9. +-commutativeN/A

                                \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              10. lower-fma.f32N/A

                                \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                              11. *-commutativeN/A

                                \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                              12. lower-*.f32N/A

                                \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                              13. lift-PI.f3265.7

                                \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                            4. Applied rewrites65.7%

                              \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \color{blue}{\left(\pi \cdot uy\right)} \]
                            5. Add Preprocessing

                            Alternative 15: 63.1% accurate, 3.9× speedup?

                            \[\begin{array}{l} \\ 2 \cdot \left(\sqrt{ux} \cdot \left(uy \cdot \left(\pi \cdot \sqrt{2}\right)\right)\right) \end{array} \]
                            (FPCore (ux uy maxCos)
                             :precision binary32
                             (* 2.0 (* (sqrt ux) (* uy (* PI (sqrt 2.0))))))
                            float code(float ux, float uy, float maxCos) {
                            	return 2.0f * (sqrtf(ux) * (uy * (((float) M_PI) * sqrtf(2.0f))));
                            }
                            
                            function code(ux, uy, maxCos)
                            	return Float32(Float32(2.0) * Float32(sqrt(ux) * Float32(uy * Float32(Float32(pi) * sqrt(Float32(2.0))))))
                            end
                            
                            function tmp = code(ux, uy, maxCos)
                            	tmp = single(2.0) * (sqrt(ux) * (uy * (single(pi) * sqrt(single(2.0)))));
                            end
                            
                            \begin{array}{l}
                            
                            \\
                            2 \cdot \left(\sqrt{ux} \cdot \left(uy \cdot \left(\pi \cdot \sqrt{2}\right)\right)\right)
                            \end{array}
                            
                            Derivation
                            1. Initial program 57.7%

                              \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                            2. Taylor expanded in uy around 0

                              \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                            3. Step-by-step derivation
                              1. associate-*r*N/A

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

                                \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              3. *-commutativeN/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              4. lift-*.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              5. lift-*.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              6. lift-PI.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              7. lower-*.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              8. lift-*.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              9. lift-PI.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              10. lift-*.f32N/A

                                \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              11. *-commutativeN/A

                                \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              12. lower-*.f32N/A

                                \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              13. lift-PI.f32N/A

                                \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              14. *-commutativeN/A

                                \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              15. count-2-revN/A

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              16. lower-+.f32N/A

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                              17. lower-sqrt.f32N/A

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              18. lower--.f32N/A

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                            4. Applied rewrites50.7%

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

                              \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                            6. Step-by-step derivation
                              1. Applied rewrites7.1%

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                              2. Taylor expanded in ux around 0

                                \[\leadsto 2 \cdot \color{blue}{\left(\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                              3. Step-by-step derivation
                                1. associate-*r*N/A

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

                                  \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                                3. lower-*.f32N/A

                                  \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                4. lower-sqrt.f32N/A

                                  \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                5. *-commutativeN/A

                                  \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                6. lower-*.f32N/A

                                  \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                7. fp-cancel-sub-sign-invN/A

                                  \[\leadsto \left(2 \cdot \sqrt{\left(2 + \left(\mathsf{neg}\left(2\right)\right) \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                8. metadata-evalN/A

                                  \[\leadsto \left(2 \cdot \sqrt{\left(2 + -2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                9. +-commutativeN/A

                                  \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                10. lower-fma.f32N/A

                                  \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                11. *-commutativeN/A

                                  \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                                12. lower-*.f32N/A

                                  \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                                13. lift-PI.f3265.7

                                  \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                              4. Applied rewrites65.7%

                                \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \color{blue}{\left(\pi \cdot uy\right)} \]
                              5. Taylor expanded in maxCos around 0

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

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

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

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

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

                                  \[\leadsto 2 \cdot \left(\sqrt{ux} \cdot \left(uy \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)\right)\right) \]
                                6. lift-PI.f32N/A

                                  \[\leadsto 2 \cdot \left(\sqrt{ux} \cdot \left(uy \cdot \left(\pi \cdot \sqrt{2}\right)\right)\right) \]
                                7. lower-sqrt.f3263.1

                                  \[\leadsto 2 \cdot \left(\sqrt{ux} \cdot \left(uy \cdot \left(\pi \cdot \sqrt{2}\right)\right)\right) \]
                              7. Applied rewrites63.1%

                                \[\leadsto 2 \cdot \left(\sqrt{ux} \cdot \color{blue}{\left(uy \cdot \left(\pi \cdot \sqrt{2}\right)\right)}\right) \]
                              8. Add Preprocessing

                              Alternative 16: 63.1% accurate, 4.4× speedup?

                              \[\begin{array}{l} \\ \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right) \end{array} \]
                              (FPCore (ux uy maxCos)
                               :precision binary32
                               (* (* 2.0 (sqrt (* ux 2.0))) (* PI uy)))
                              float code(float ux, float uy, float maxCos) {
                              	return (2.0f * sqrtf((ux * 2.0f))) * (((float) M_PI) * uy);
                              }
                              
                              function code(ux, uy, maxCos)
                              	return Float32(Float32(Float32(2.0) * sqrt(Float32(ux * Float32(2.0)))) * Float32(Float32(pi) * uy))
                              end
                              
                              function tmp = code(ux, uy, maxCos)
                              	tmp = (single(2.0) * sqrt((ux * single(2.0)))) * (single(pi) * uy);
                              end
                              
                              \begin{array}{l}
                              
                              \\
                              \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right)
                              \end{array}
                              
                              Derivation
                              1. Initial program 57.7%

                                \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                              2. Taylor expanded in uy around 0

                                \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                              3. Step-by-step derivation
                                1. associate-*r*N/A

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

                                  \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                3. *-commutativeN/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                4. lift-*.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                5. lift-*.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                6. lift-PI.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                7. lower-*.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                8. lift-*.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                9. lift-PI.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                10. lift-*.f32N/A

                                  \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                11. *-commutativeN/A

                                  \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                12. lower-*.f32N/A

                                  \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                13. lift-PI.f32N/A

                                  \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                14. *-commutativeN/A

                                  \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                15. count-2-revN/A

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                16. lower-+.f32N/A

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                17. lower-sqrt.f32N/A

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                18. lower--.f32N/A

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                              4. Applied rewrites50.7%

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

                                \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                              6. Step-by-step derivation
                                1. Applied rewrites7.1%

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                                2. Taylor expanded in ux around 0

                                  \[\leadsto 2 \cdot \color{blue}{\left(\sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)} \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                                3. Step-by-step derivation
                                  1. associate-*r*N/A

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

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \]
                                  3. lower-*.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  4. lower-sqrt.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot \left(2 - 2 \cdot maxCos\right)}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  5. *-commutativeN/A

                                    \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  6. lower-*.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{\left(2 - 2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  7. fp-cancel-sub-sign-invN/A

                                    \[\leadsto \left(2 \cdot \sqrt{\left(2 + \left(\mathsf{neg}\left(2\right)\right) \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  8. metadata-evalN/A

                                    \[\leadsto \left(2 \cdot \sqrt{\left(2 + -2 \cdot maxCos\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  9. +-commutativeN/A

                                    \[\leadsto \left(2 \cdot \sqrt{\left(-2 \cdot maxCos + 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  10. lower-fma.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right) \]
                                  11. *-commutativeN/A

                                    \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                                  12. lower-*.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\mathsf{PI}\left(\right) \cdot uy\right) \]
                                  13. lift-PI.f3265.7

                                    \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \left(\pi \cdot uy\right) \]
                                4. Applied rewrites65.7%

                                  \[\leadsto \left(2 \cdot \sqrt{\mathsf{fma}\left(-2, maxCos, 2\right) \cdot ux}\right) \cdot \color{blue}{\left(\pi \cdot uy\right)} \]
                                5. Taylor expanded in maxCos around 0

                                  \[\leadsto \left(2 \cdot \left(\sqrt{ux} \cdot \sqrt{2}\right)\right) \cdot \left(\pi \cdot uy\right) \]
                                6. Step-by-step derivation
                                  1. sqrt-unprodN/A

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right) \]
                                  2. lower-sqrt.f32N/A

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right) \]
                                  3. lower-*.f3263.1

                                    \[\leadsto \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right) \]
                                7. Applied rewrites63.1%

                                  \[\leadsto \left(2 \cdot \sqrt{ux \cdot 2}\right) \cdot \left(\pi \cdot uy\right) \]
                                8. Add Preprocessing

                                Alternative 17: 7.1% accurate, 4.7× speedup?

                                \[\begin{array}{l} \\ \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \end{array} \]
                                (FPCore (ux uy maxCos)
                                 :precision binary32
                                 (* (* PI (+ uy uy)) (sqrt (- 1.0 1.0))))
                                float code(float ux, float uy, float maxCos) {
                                	return (((float) M_PI) * (uy + uy)) * sqrtf((1.0f - 1.0f));
                                }
                                
                                function code(ux, uy, maxCos)
                                	return Float32(Float32(Float32(pi) * Float32(uy + uy)) * sqrt(Float32(Float32(1.0) - Float32(1.0))))
                                end
                                
                                function tmp = code(ux, uy, maxCos)
                                	tmp = (single(pi) * (uy + uy)) * sqrt((single(1.0) - single(1.0)));
                                end
                                
                                \begin{array}{l}
                                
                                \\
                                \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1}
                                \end{array}
                                
                                Derivation
                                1. Initial program 57.7%

                                  \[\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                                2. Taylor expanded in uy around 0

                                  \[\leadsto \color{blue}{2 \cdot \left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}\right)} \]
                                3. Step-by-step derivation
                                  1. associate-*r*N/A

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

                                    \[\leadsto \left(\left(2 \cdot uy\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  3. *-commutativeN/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                  4. lift-*.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  5. lift-*.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                  6. lift-PI.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  7. lower-*.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \color{blue}{\sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  8. lift-*.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                  9. lift-PI.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  10. lift-*.f32N/A

                                    \[\leadsto \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  11. *-commutativeN/A

                                    \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  12. lower-*.f32N/A

                                    \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  13. lift-PI.f32N/A

                                    \[\leadsto \left(\pi \cdot \left(uy \cdot 2\right)\right) \cdot \sqrt{\color{blue}{1} - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                  14. *-commutativeN/A

                                    \[\leadsto \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  15. count-2-revN/A

                                    \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  16. lower-+.f32N/A

                                    \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - \color{blue}{{\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}}} \]
                                  17. lower-sqrt.f32N/A

                                    \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                  18. lower--.f32N/A

                                    \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - {\left(\left(1 + maxCos \cdot ux\right) - ux\right)}^{2}} \]
                                4. Applied rewrites50.7%

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

                                  \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                                6. Step-by-step derivation
                                  1. Applied rewrites7.1%

                                    \[\leadsto \left(\pi \cdot \left(uy + uy\right)\right) \cdot \sqrt{1 - 1} \]
                                  2. Add Preprocessing

                                  Reproduce

                                  ?
                                  herbie shell --seed 2025128 
                                  (FPCore (ux uy maxCos)
                                    :name "UniformSampleCone, y"
                                    :precision binary32
                                    :pre (and (and (and (<= 2.328306437e-10 ux) (<= ux 1.0)) (and (<= 2.328306437e-10 uy) (<= uy 1.0))) (and (<= 0.0 maxCos) (<= maxCos 1.0)))
                                    (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* (+ (- 1.0 ux) (* ux maxCos)) (+ (- 1.0 ux) (* ux maxCos)))))))