UniformSampleCone 2

Percentage Accurate: 98.9% → 99.0%
Time: 24.5s
Alternatives: 19
Speedup: 1.0×

Specification

?
\[\left(\left(\left(\left(\left(-10000 \leq xi \land xi \leq 10000\right) \land \left(-10000 \leq yi \land yi \leq 10000\right)\right) \land \left(-10000 \leq zi \land zi \leq 10000\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq ux \land ux \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq uy \land uy \leq 1\right)\right) \land \left(0 \leq maxCos \land maxCos \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\ t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\ t_2 := \left(uy \cdot 2\right) \cdot \pi\\ \left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (- 1.0 ux) maxCos) ux))
        (t_1 (sqrt (- 1.0 (* t_0 t_0))))
        (t_2 (* (* uy 2.0) PI)))
   (+ (+ (* (* (cos t_2) t_1) xi) (* (* (sin t_2) t_1) yi)) (* t_0 zi))))
float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
	float t_0 = ((1.0f - ux) * maxCos) * ux;
	float t_1 = sqrtf((1.0f - (t_0 * t_0)));
	float t_2 = (uy * 2.0f) * ((float) M_PI);
	return (((cosf(t_2) * t_1) * xi) + ((sinf(t_2) * t_1) * yi)) + (t_0 * zi);
}
function code(xi, yi, zi, ux, uy, maxCos)
	t_0 = Float32(Float32(Float32(Float32(1.0) - ux) * maxCos) * ux)
	t_1 = sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0)))
	t_2 = Float32(Float32(uy * Float32(2.0)) * Float32(pi))
	return Float32(Float32(Float32(Float32(cos(t_2) * t_1) * xi) + Float32(Float32(sin(t_2) * t_1) * yi)) + Float32(t_0 * zi))
end
function tmp = code(xi, yi, zi, ux, uy, maxCos)
	t_0 = ((single(1.0) - ux) * maxCos) * ux;
	t_1 = sqrt((single(1.0) - (t_0 * t_0)));
	t_2 = (uy * single(2.0)) * single(pi);
	tmp = (((cos(t_2) * t_1) * xi) + ((sin(t_2) * t_1) * yi)) + (t_0 * zi);
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\
t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\
t_2 := \left(uy \cdot 2\right) \cdot \pi\\
\left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi
\end{array}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 19 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: 98.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\ t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\ t_2 := \left(uy \cdot 2\right) \cdot \pi\\ \left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (- 1.0 ux) maxCos) ux))
        (t_1 (sqrt (- 1.0 (* t_0 t_0))))
        (t_2 (* (* uy 2.0) PI)))
   (+ (+ (* (* (cos t_2) t_1) xi) (* (* (sin t_2) t_1) yi)) (* t_0 zi))))
float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
	float t_0 = ((1.0f - ux) * maxCos) * ux;
	float t_1 = sqrtf((1.0f - (t_0 * t_0)));
	float t_2 = (uy * 2.0f) * ((float) M_PI);
	return (((cosf(t_2) * t_1) * xi) + ((sinf(t_2) * t_1) * yi)) + (t_0 * zi);
}
function code(xi, yi, zi, ux, uy, maxCos)
	t_0 = Float32(Float32(Float32(Float32(1.0) - ux) * maxCos) * ux)
	t_1 = sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0)))
	t_2 = Float32(Float32(uy * Float32(2.0)) * Float32(pi))
	return Float32(Float32(Float32(Float32(cos(t_2) * t_1) * xi) + Float32(Float32(sin(t_2) * t_1) * yi)) + Float32(t_0 * zi))
end
function tmp = code(xi, yi, zi, ux, uy, maxCos)
	t_0 = ((single(1.0) - ux) * maxCos) * ux;
	t_1 = sqrt((single(1.0) - (t_0 * t_0)));
	t_2 = (uy * single(2.0)) * single(pi);
	tmp = (((cos(t_2) * t_1) * xi) + ((sin(t_2) * t_1) * yi)) + (t_0 * zi);
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\
t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\
t_2 := \left(uy \cdot 2\right) \cdot \pi\\
\left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi
\end{array}
\end{array}

Alternative 1: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := maxCos \cdot \left(1 - ux\right)\\ t_1 := \sqrt{1 - \left(\left(t\_0 \cdot ux\right) \cdot ux\right) \cdot t\_0}\\ t_2 := \left(uy \cdot 2\right) \cdot \pi\\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(t\_1 \cdot yi, \sin t\_2, \cos t\_2 \cdot \left(xi \cdot t\_1\right)\right)\right) \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* maxCos (- 1.0 ux)))
        (t_1 (sqrt (- 1.0 (* (* (* t_0 ux) ux) t_0))))
        (t_2 (* (* uy 2.0) PI)))
   (fma
    (* (- 1.0 ux) zi)
    (* maxCos ux)
    (fma (* t_1 yi) (sin t_2) (* (cos t_2) (* xi t_1))))))
float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
	float t_0 = maxCos * (1.0f - ux);
	float t_1 = sqrtf((1.0f - (((t_0 * ux) * ux) * t_0)));
	float t_2 = (uy * 2.0f) * ((float) M_PI);
	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf((t_1 * yi), sinf(t_2), (cosf(t_2) * (xi * t_1))));
}
function code(xi, yi, zi, ux, uy, maxCos)
	t_0 = Float32(maxCos * Float32(Float32(1.0) - ux))
	t_1 = sqrt(Float32(Float32(1.0) - Float32(Float32(Float32(t_0 * ux) * ux) * t_0)))
	t_2 = Float32(Float32(uy * Float32(2.0)) * Float32(pi))
	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(Float32(t_1 * yi), sin(t_2), Float32(cos(t_2) * Float32(xi * t_1))))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := maxCos \cdot \left(1 - ux\right)\\
t_1 := \sqrt{1 - \left(\left(t\_0 \cdot ux\right) \cdot ux\right) \cdot t\_0}\\
t_2 := \left(uy \cdot 2\right) \cdot \pi\\
\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(t\_1 \cdot yi, \sin t\_2, \cos t\_2 \cdot \left(xi \cdot t\_1\right)\right)\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.9%

    \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-+.f32N/A

      \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
    2. +-commutativeN/A

      \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
    3. lift-*.f32N/A

      \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
    4. *-commutativeN/A

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

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

      \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
    7. associate-*l*N/A

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

      \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
  4. Applied rewrites99.0%

    \[\leadsto \color{blue}{\mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(yi \cdot \sqrt{1 - \left(\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot ux\right) \cdot \left(maxCos \cdot \left(1 - ux\right)\right)}, \sin \left(\pi \cdot \left(2 \cdot uy\right)\right), \left(xi \cdot \sqrt{1 - \left(\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot ux\right) \cdot \left(maxCos \cdot \left(1 - ux\right)\right)}\right) \cdot \cos \left(\pi \cdot \left(2 \cdot uy\right)\right)\right)\right)} \]
  5. Final simplification99.0%

    \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\sqrt{1 - \left(\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot ux\right) \cdot \left(maxCos \cdot \left(1 - ux\right)\right)} \cdot yi, \sin \left(\left(uy \cdot 2\right) \cdot \pi\right), \cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \left(xi \cdot \sqrt{1 - \left(\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot ux\right) \cdot \left(maxCos \cdot \left(1 - ux\right)\right)}\right)\right)\right) \]
  6. Add Preprocessing

Alternative 2: 97.3% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ t_1 := \cos t\_0\\ \mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\ \;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, t\_1 \cdot xi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(yi, \frac{\sin t\_0}{xi}, t\_1\right) \cdot xi\\ \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* uy PI) 2.0)) (t_1 (cos t_0)))
   (if (<= (* uy 2.0) 0.049949999898672104)
     (fma
      (* (- 1.0 ux) zi)
      (* maxCos ux)
      (fma
       (*
        (fma (* (* uy uy) -1.3333333333333333) (* (* PI PI) PI) (* 2.0 PI))
        uy)
       yi
       (* t_1 xi)))
     (* (fma yi (/ (sin t_0) xi) t_1) xi))))
float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
	float t_0 = (uy * ((float) M_PI)) * 2.0f;
	float t_1 = cosf(t_0);
	float tmp;
	if ((uy * 2.0f) <= 0.049949999898672104f) {
		tmp = fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf((fmaf(((uy * uy) * -1.3333333333333333f), ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)), (2.0f * ((float) M_PI))) * uy), yi, (t_1 * xi)));
	} else {
		tmp = fmaf(yi, (sinf(t_0) / xi), t_1) * xi;
	}
	return tmp;
}
function code(xi, yi, zi, ux, uy, maxCos)
	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
	t_1 = cos(t_0)
	tmp = Float32(0.0)
	if (Float32(uy * Float32(2.0)) <= Float32(0.049949999898672104))
		tmp = fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(Float32(fma(Float32(Float32(uy * uy) * Float32(-1.3333333333333333)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)), Float32(Float32(2.0) * Float32(pi))) * uy), yi, Float32(t_1 * xi)));
	else
		tmp = Float32(fma(yi, Float32(sin(t_0) / xi), t_1) * xi);
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(uy \cdot \pi\right) \cdot 2\\
t_1 := \cos t\_0\\
\mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\
\;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, t\_1 \cdot xi\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(yi, \frac{\sin t\_0}{xi}, t\_1\right) \cdot xi\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 uy #s(literal 2 binary32)) < 0.0499499999

    1. Initial program 99.1%

      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-+.f32N/A

        \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
      2. +-commutativeN/A

        \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
      3. lift-*.f32N/A

        \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
      4. *-commutativeN/A

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

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

        \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
      7. associate-*l*N/A

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

        \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
    4. Applied rewrites99.3%

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

      \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
    6. Step-by-step derivation
      1. +-commutativeN/A

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
      4. lower-sin.f32N/A

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
      5. *-commutativeN/A

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

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

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

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
      10. *-commutativeN/A

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
      12. lower-cos.f32N/A

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
      13. *-commutativeN/A

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
      15. *-commutativeN/A

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
      17. lower-PI.f3299.0

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
    7. Applied rewrites99.0%

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

      \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right), yi, \cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
    9. Step-by-step derivation
      1. Applied rewrites98.9%

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(-1.3333333333333333 \cdot \left(uy \cdot uy\right), \left(\pi \cdot \pi\right) \cdot \pi, \pi \cdot 2\right) \cdot uy, yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]

      if 0.0499499999 < (*.f32 uy #s(literal 2 binary32))

      1. Initial program 97.6%

        \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
      2. Add Preprocessing
      3. Taylor expanded in xi around inf

        \[\leadsto \color{blue}{xi \cdot \left(\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} + \left(\frac{yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{xi} \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} + \frac{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)}{xi}\right)\right)} \]
      4. Applied rewrites97.5%

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

        \[\leadsto \left(\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + \frac{yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{xi}\right) \cdot xi \]
      6. Step-by-step derivation
        1. Applied rewrites95.2%

          \[\leadsto \mathsf{fma}\left(yi, \frac{\sin \left(\left(\pi \cdot uy\right) \cdot 2\right)}{xi}, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right)\right) \cdot xi \]
      7. Recombined 2 regimes into one program.
      8. Final simplification98.3%

        \[\leadsto \begin{array}{l} \mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\ \;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(yi, \frac{\sin \left(\left(uy \cdot \pi\right) \cdot 2\right)}{xi}, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right)\right) \cdot xi\\ \end{array} \]
      9. Add Preprocessing

      Alternative 3: 98.7% accurate, 1.4× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\sin t\_0, yi, \cos t\_0 \cdot xi\right)\right) \end{array} \end{array} \]
      (FPCore (xi yi zi ux uy maxCos)
       :precision binary32
       (let* ((t_0 (* (* uy PI) 2.0)))
         (fma (* (- 1.0 ux) zi) (* maxCos ux) (fma (sin t_0) yi (* (cos t_0) xi)))))
      float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
      	float t_0 = (uy * ((float) M_PI)) * 2.0f;
      	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf(sinf(t_0), yi, (cosf(t_0) * xi)));
      }
      
      function code(xi, yi, zi, ux, uy, maxCos)
      	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
      	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(sin(t_0), yi, Float32(cos(t_0) * xi)))
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \left(uy \cdot \pi\right) \cdot 2\\
      \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\sin t\_0, yi, \cos t\_0 \cdot xi\right)\right)
      \end{array}
      \end{array}
      
      Derivation
      1. Initial program 98.9%

        \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-+.f32N/A

          \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
        2. +-commutativeN/A

          \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
        3. lift-*.f32N/A

          \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
        4. *-commutativeN/A

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

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

          \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
        7. associate-*l*N/A

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

          \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
      4. Applied rewrites99.0%

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

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
      6. Step-by-step derivation
        1. +-commutativeN/A

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
        3. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
        4. lower-sin.f32N/A

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
        5. *-commutativeN/A

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

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

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

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
        10. *-commutativeN/A

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
        12. lower-cos.f32N/A

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
        13. *-commutativeN/A

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
        15. *-commutativeN/A

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
        17. lower-PI.f3298.8

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
      7. Applied rewrites98.8%

        \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)}\right) \]
      8. Final simplification98.8%

        \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(uy \cdot \pi\right) \cdot 2\right), yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right) \]
      9. Add Preprocessing

      Alternative 4: 98.7% accurate, 1.4× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ \mathsf{fma}\left(\sin t\_0, yi, \mathsf{fma}\left(\cos t\_0, xi, \left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux\right) \cdot maxCos\right)\right) \end{array} \end{array} \]
      (FPCore (xi yi zi ux uy maxCos)
       :precision binary32
       (let* ((t_0 (* (* uy PI) 2.0)))
         (fma (sin t_0) yi (fma (cos t_0) xi (* (* (* (- 1.0 ux) zi) ux) maxCos)))))
      float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
      	float t_0 = (uy * ((float) M_PI)) * 2.0f;
      	return fmaf(sinf(t_0), yi, fmaf(cosf(t_0), xi, ((((1.0f - ux) * zi) * ux) * maxCos)));
      }
      
      function code(xi, yi, zi, ux, uy, maxCos)
      	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
      	return fma(sin(t_0), yi, fma(cos(t_0), xi, Float32(Float32(Float32(Float32(Float32(1.0) - ux) * zi) * ux) * maxCos)))
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \left(uy \cdot \pi\right) \cdot 2\\
      \mathsf{fma}\left(\sin t\_0, yi, \mathsf{fma}\left(\cos t\_0, xi, \left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux\right) \cdot maxCos\right)\right)
      \end{array}
      \end{array}
      
      Derivation
      1. Initial program 98.9%

        \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
      2. Add Preprocessing
      3. Taylor expanded in maxCos around 0

        \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + \left(xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
      4. Step-by-step derivation
        1. associate-+r+N/A

          \[\leadsto \color{blue}{\left(maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
        2. +-commutativeN/A

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

          \[\leadsto \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + \left(maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
        4. lower-fma.f32N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
        5. lower-sin.f32N/A

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

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

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

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

          \[\leadsto \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
        10. lower-PI.f32N/A

          \[\leadsto \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
        11. +-commutativeN/A

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

          \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)\right) \]
        13. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\mathsf{fma}\left(\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), xi, maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)\right)}\right) \]
      5. Applied rewrites98.7%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \mathsf{fma}\left(\cos \left(\left(\pi \cdot uy\right) \cdot 2\right), xi, \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos\right)\right)} \]
      6. Final simplification98.7%

        \[\leadsto \mathsf{fma}\left(\sin \left(\left(uy \cdot \pi\right) \cdot 2\right), yi, \mathsf{fma}\left(\cos \left(\left(uy \cdot \pi\right) \cdot 2\right), xi, \left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux\right) \cdot maxCos\right)\right) \]
      7. Add Preprocessing

      Alternative 5: 97.4% accurate, 1.5× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ t_1 := \cos t\_0 \cdot xi\\ \mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\ \;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, t\_1\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sin t\_0, yi, t\_1\right)\\ \end{array} \end{array} \]
      (FPCore (xi yi zi ux uy maxCos)
       :precision binary32
       (let* ((t_0 (* (* uy PI) 2.0)) (t_1 (* (cos t_0) xi)))
         (if (<= (* uy 2.0) 0.049949999898672104)
           (fma
            (* (- 1.0 ux) zi)
            (* maxCos ux)
            (fma
             (*
              (fma (* (* uy uy) -1.3333333333333333) (* (* PI PI) PI) (* 2.0 PI))
              uy)
             yi
             t_1))
           (fma (sin t_0) yi t_1))))
      float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
      	float t_0 = (uy * ((float) M_PI)) * 2.0f;
      	float t_1 = cosf(t_0) * xi;
      	float tmp;
      	if ((uy * 2.0f) <= 0.049949999898672104f) {
      		tmp = fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf((fmaf(((uy * uy) * -1.3333333333333333f), ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)), (2.0f * ((float) M_PI))) * uy), yi, t_1));
      	} else {
      		tmp = fmaf(sinf(t_0), yi, t_1);
      	}
      	return tmp;
      }
      
      function code(xi, yi, zi, ux, uy, maxCos)
      	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
      	t_1 = Float32(cos(t_0) * xi)
      	tmp = Float32(0.0)
      	if (Float32(uy * Float32(2.0)) <= Float32(0.049949999898672104))
      		tmp = fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(Float32(fma(Float32(Float32(uy * uy) * Float32(-1.3333333333333333)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)), Float32(Float32(2.0) * Float32(pi))) * uy), yi, t_1));
      	else
      		tmp = fma(sin(t_0), yi, t_1);
      	end
      	return tmp
      end
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \left(uy \cdot \pi\right) \cdot 2\\
      t_1 := \cos t\_0 \cdot xi\\
      \mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\
      \;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, t\_1\right)\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\mathsf{fma}\left(\sin t\_0, yi, t\_1\right)\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 uy #s(literal 2 binary32)) < 0.0499499999

        1. Initial program 99.1%

          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift-+.f32N/A

            \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
          2. +-commutativeN/A

            \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
          3. lift-*.f32N/A

            \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
          4. *-commutativeN/A

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

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

            \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
          7. associate-*l*N/A

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

            \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
        4. Applied rewrites99.3%

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
        6. Step-by-step derivation
          1. +-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          3. lower-fma.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
          4. lower-sin.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          5. *-commutativeN/A

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

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

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

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          10. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
          12. lower-cos.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
          13. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
          15. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
          17. lower-PI.f3299.0

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
        7. Applied rewrites99.0%

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right), yi, \cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
        9. Step-by-step derivation
          1. Applied rewrites98.9%

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(-1.3333333333333333 \cdot \left(uy \cdot uy\right), \left(\pi \cdot \pi\right) \cdot \pi, \pi \cdot 2\right) \cdot uy, yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]

          if 0.0499499999 < (*.f32 uy #s(literal 2 binary32))

          1. Initial program 97.6%

            \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          2. Add Preprocessing
          3. Taylor expanded in ux around 0

            \[\leadsto \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          4. Step-by-step derivation
            1. +-commutativeN/A

              \[\leadsto \color{blue}{yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
            2. *-commutativeN/A

              \[\leadsto \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-fma.f32N/A

              \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
            4. lower-sin.f32N/A

              \[\leadsto \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            5. *-commutativeN/A

              \[\leadsto \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            6. lower-*.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            7. *-commutativeN/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            8. lower-*.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            9. lower-PI.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            10. *-commutativeN/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right) \]
            11. lower-*.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right) \]
            12. lower-cos.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right) \]
            13. *-commutativeN/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right) \]
            14. lower-*.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right) \]
            15. *-commutativeN/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right) \]
            16. lower-*.f32N/A

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right) \]
            17. lower-PI.f3295.1

              \[\leadsto \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right) \]
          5. Applied rewrites95.1%

            \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)} \]
        10. Recombined 2 regimes into one program.
        11. Final simplification98.3%

          \[\leadsto \begin{array}{l} \mathbf{if}\;uy \cdot 2 \leq 0.049949999898672104:\\ \;\;\;\;\mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sin \left(\left(uy \cdot \pi\right) \cdot 2\right), yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\\ \end{array} \]
        12. Add Preprocessing

        Alternative 6: 95.7% accurate, 1.5× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ \mathsf{fma}\left(maxCos \cdot ux, zi, \mathsf{fma}\left(\sin t\_0, yi, \cos t\_0 \cdot xi\right)\right) \end{array} \end{array} \]
        (FPCore (xi yi zi ux uy maxCos)
         :precision binary32
         (let* ((t_0 (* (* uy PI) 2.0)))
           (fma (* maxCos ux) zi (fma (sin t_0) yi (* (cos t_0) xi)))))
        float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
        	float t_0 = (uy * ((float) M_PI)) * 2.0f;
        	return fmaf((maxCos * ux), zi, fmaf(sinf(t_0), yi, (cosf(t_0) * xi)));
        }
        
        function code(xi, yi, zi, ux, uy, maxCos)
        	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
        	return fma(Float32(maxCos * ux), zi, fma(sin(t_0), yi, Float32(cos(t_0) * xi)))
        end
        
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \left(uy \cdot \pi\right) \cdot 2\\
        \mathsf{fma}\left(maxCos \cdot ux, zi, \mathsf{fma}\left(\sin t\_0, yi, \cos t\_0 \cdot xi\right)\right)
        \end{array}
        \end{array}
        
        Derivation
        1. Initial program 98.9%

          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        2. Add Preprocessing
        3. Taylor expanded in zi around inf

          \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)} \]
        4. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} \]
          2. lower-*.f32N/A

            \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} \]
          3. *-commutativeN/A

            \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right)} \cdot maxCos \]
          4. lower-*.f32N/A

            \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right)} \cdot maxCos \]
          5. lower-*.f32N/A

            \[\leadsto \left(\color{blue}{\left(zi \cdot \left(1 - ux\right)\right)} \cdot ux\right) \cdot maxCos \]
          6. lower--.f3211.1

            \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos \]
        5. Applied rewrites11.1%

          \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos} \]
        6. Taylor expanded in ux around 0

          \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot zi\right) + \left(xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
        7. Step-by-step derivation
          1. associate-*r*N/A

            \[\leadsto \color{blue}{\left(maxCos \cdot ux\right) \cdot zi} + \left(xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          2. lower-fma.f32N/A

            \[\leadsto \color{blue}{\mathsf{fma}\left(maxCos \cdot ux, zi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
          3. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{ux \cdot maxCos}, zi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          4. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{ux \cdot maxCos}, zi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          5. +-commutativeN/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \color{blue}{yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
          6. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          7. lower-fma.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
          8. lower-sin.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          9. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          10. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          11. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          12. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          13. lower-PI.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          14. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
          15. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
        8. Applied rewrites97.1%

          \[\leadsto \color{blue}{\mathsf{fma}\left(ux \cdot maxCos, zi, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)\right)} \]
        9. Final simplification97.1%

          \[\leadsto \mathsf{fma}\left(maxCos \cdot ux, zi, \mathsf{fma}\left(\sin \left(\left(uy \cdot \pi\right) \cdot 2\right), yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right) \]
        10. Add Preprocessing

        Alternative 7: 95.7% accurate, 1.5× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ \mathsf{fma}\left(\sin t\_0, yi, \mathsf{fma}\left(\cos t\_0, xi, \left(ux \cdot zi\right) \cdot maxCos\right)\right) \end{array} \end{array} \]
        (FPCore (xi yi zi ux uy maxCos)
         :precision binary32
         (let* ((t_0 (* (* uy PI) 2.0)))
           (fma (sin t_0) yi (fma (cos t_0) xi (* (* ux zi) maxCos)))))
        float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
        	float t_0 = (uy * ((float) M_PI)) * 2.0f;
        	return fmaf(sinf(t_0), yi, fmaf(cosf(t_0), xi, ((ux * zi) * maxCos)));
        }
        
        function code(xi, yi, zi, ux, uy, maxCos)
        	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
        	return fma(sin(t_0), yi, fma(cos(t_0), xi, Float32(Float32(ux * zi) * maxCos)))
        end
        
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \left(uy \cdot \pi\right) \cdot 2\\
        \mathsf{fma}\left(\sin t\_0, yi, \mathsf{fma}\left(\cos t\_0, xi, \left(ux \cdot zi\right) \cdot maxCos\right)\right)
        \end{array}
        \end{array}
        
        Derivation
        1. Initial program 98.9%

          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        2. Add Preprocessing
        3. Taylor expanded in ux around 0

          \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot zi\right) + \left(xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
        4. Step-by-step derivation
          1. associate-+r+N/A

            \[\leadsto \color{blue}{\left(maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          2. +-commutativeN/A

            \[\leadsto \color{blue}{yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + \left(maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
          3. *-commutativeN/A

            \[\leadsto \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + \left(maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          4. lower-fma.f32N/A

            \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)} \]
          5. lower-sin.f32N/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          6. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          7. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\sin \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)}, yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          8. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(\sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right), yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          10. lower-PI.f32N/A

            \[\leadsto \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, maxCos \cdot \left(ux \cdot zi\right) + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          11. +-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + maxCos \cdot \left(ux \cdot zi\right)}\right) \]
          12. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi} + maxCos \cdot \left(ux \cdot zi\right)\right) \]
          13. lower-fma.f32N/A

            \[\leadsto \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\mathsf{fma}\left(\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), xi, maxCos \cdot \left(ux \cdot zi\right)\right)}\right) \]
        5. Applied rewrites97.1%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \mathsf{fma}\left(\cos \left(\left(\pi \cdot uy\right) \cdot 2\right), xi, \left(zi \cdot ux\right) \cdot maxCos\right)\right)} \]
        6. Final simplification97.1%

          \[\leadsto \mathsf{fma}\left(\sin \left(\left(uy \cdot \pi\right) \cdot 2\right), yi, \mathsf{fma}\left(\cos \left(\left(uy \cdot \pi\right) \cdot 2\right), xi, \left(ux \cdot zi\right) \cdot maxCos\right)\right) \]
        7. Add Preprocessing

        Alternative 8: 93.6% accurate, 2.0× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right) \end{array} \]
        (FPCore (xi yi zi ux uy maxCos)
         :precision binary32
         (fma
          (* (- 1.0 ux) zi)
          (* maxCos ux)
          (fma
           (* (fma (* (* uy uy) -1.3333333333333333) (* (* PI PI) PI) (* 2.0 PI)) uy)
           yi
           (* (cos (* (* uy PI) 2.0)) xi))))
        float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
        	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf((fmaf(((uy * uy) * -1.3333333333333333f), ((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)), (2.0f * ((float) M_PI))) * uy), yi, (cosf(((uy * ((float) M_PI)) * 2.0f)) * xi)));
        }
        
        function code(xi, yi, zi, ux, uy, maxCos)
        	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(Float32(fma(Float32(Float32(uy * uy) * Float32(-1.3333333333333333)), Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)), Float32(Float32(2.0) * Float32(pi))) * uy), yi, Float32(cos(Float32(Float32(uy * Float32(pi)) * Float32(2.0))) * xi)))
        end
        
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right)
        \end{array}
        
        Derivation
        1. Initial program 98.9%

          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift-+.f32N/A

            \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
          2. +-commutativeN/A

            \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
          3. lift-*.f32N/A

            \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
          4. *-commutativeN/A

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

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

            \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
          7. associate-*l*N/A

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

            \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
        4. Applied rewrites99.0%

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
        6. Step-by-step derivation
          1. +-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
          3. lower-fma.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
          4. lower-sin.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          5. *-commutativeN/A

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

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

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

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
          10. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
          12. lower-cos.f32N/A

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
          13. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
          15. *-commutativeN/A

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
          17. lower-PI.f3298.8

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
        7. Applied rewrites98.8%

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

          \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(uy \cdot \left(\frac{-4}{3} \cdot \left({uy}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right), yi, \cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
        9. Step-by-step derivation
          1. Applied rewrites94.0%

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(-1.3333333333333333 \cdot \left(uy \cdot uy\right), \left(\pi \cdot \pi\right) \cdot \pi, \pi \cdot 2\right) \cdot uy, yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
          2. Final simplification94.0%

            \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -1.3333333333333333, \left(\pi \cdot \pi\right) \cdot \pi, 2 \cdot \pi\right) \cdot uy, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right) \]
          3. Add Preprocessing

          Alternative 9: 89.7% accurate, 2.3× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(uy \cdot \pi\right) \cdot 2\\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(t\_0, yi, \cos t\_0 \cdot xi\right)\right) \end{array} \end{array} \]
          (FPCore (xi yi zi ux uy maxCos)
           :precision binary32
           (let* ((t_0 (* (* uy PI) 2.0)))
             (fma (* (- 1.0 ux) zi) (* maxCos ux) (fma t_0 yi (* (cos t_0) xi)))))
          float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
          	float t_0 = (uy * ((float) M_PI)) * 2.0f;
          	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf(t_0, yi, (cosf(t_0) * xi)));
          }
          
          function code(xi, yi, zi, ux, uy, maxCos)
          	t_0 = Float32(Float32(uy * Float32(pi)) * Float32(2.0))
          	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(t_0, yi, Float32(cos(t_0) * xi)))
          end
          
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \left(uy \cdot \pi\right) \cdot 2\\
          \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(t\_0, yi, \cos t\_0 \cdot xi\right)\right)
          \end{array}
          \end{array}
          
          Derivation
          1. Initial program 98.9%

            \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          2. Add Preprocessing
          3. Step-by-step derivation
            1. lift-+.f32N/A

              \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
            2. +-commutativeN/A

              \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
            3. lift-*.f32N/A

              \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
            4. *-commutativeN/A

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

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

              \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
            7. associate-*l*N/A

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

              \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
          4. Applied rewrites99.0%

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
          6. Step-by-step derivation
            1. +-commutativeN/A

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
            3. lower-fma.f32N/A

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
            4. lower-sin.f32N/A

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
            5. *-commutativeN/A

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

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

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

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
            10. *-commutativeN/A

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
            12. lower-cos.f32N/A

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
            13. *-commutativeN/A

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
            15. *-commutativeN/A

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
            17. lower-PI.f3298.8

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
          7. Applied rewrites98.8%

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

            \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right), yi, \cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
          9. Step-by-step derivation
            1. Applied rewrites90.3%

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\left(\pi \cdot uy\right) \cdot 2, yi, \cos \left(\left(\pi \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
            2. Final simplification90.3%

              \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\left(uy \cdot \pi\right) \cdot 2, yi, \cos \left(\left(uy \cdot \pi\right) \cdot 2\right) \cdot xi\right)\right) \]
            3. Add Preprocessing

            Alternative 10: 89.0% accurate, 4.3× speedup?

            \[\begin{array}{l} \\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot yi\right) \cdot uy, -1.3333333333333333, -2 \cdot \left(\left(\pi \cdot \pi\right) \cdot xi\right)\right), uy, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right) \end{array} \]
            (FPCore (xi yi zi ux uy maxCos)
             :precision binary32
             (fma
              (* (- 1.0 ux) zi)
              (* maxCos ux)
              (fma
               (fma
                (fma
                 (* (* (* (* PI PI) PI) yi) uy)
                 -1.3333333333333333
                 (* -2.0 (* (* PI PI) xi)))
                uy
                (* (* PI yi) 2.0))
               uy
               xi)))
            float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
            	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf(fmaf(fmaf(((((((float) M_PI) * ((float) M_PI)) * ((float) M_PI)) * yi) * uy), -1.3333333333333333f, (-2.0f * ((((float) M_PI) * ((float) M_PI)) * xi))), uy, ((((float) M_PI) * yi) * 2.0f)), uy, xi));
            }
            
            function code(xi, yi, zi, ux, uy, maxCos)
            	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(fma(fma(Float32(Float32(Float32(Float32(Float32(pi) * Float32(pi)) * Float32(pi)) * yi) * uy), Float32(-1.3333333333333333), Float32(Float32(-2.0) * Float32(Float32(Float32(pi) * Float32(pi)) * xi))), uy, Float32(Float32(Float32(pi) * yi) * Float32(2.0))), uy, xi))
            end
            
            \begin{array}{l}
            
            \\
            \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot yi\right) \cdot uy, -1.3333333333333333, -2 \cdot \left(\left(\pi \cdot \pi\right) \cdot xi\right)\right), uy, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right)
            \end{array}
            
            Derivation
            1. Initial program 98.9%

              \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            2. Add Preprocessing
            3. Step-by-step derivation
              1. lift-+.f32N/A

                \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
              2. +-commutativeN/A

                \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
              3. lift-*.f32N/A

                \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
              4. *-commutativeN/A

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

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

                \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
              7. associate-*l*N/A

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

                \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
            4. Applied rewrites99.0%

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
            6. Step-by-step derivation
              1. +-commutativeN/A

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
              3. lower-fma.f32N/A

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
              4. lower-sin.f32N/A

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
              5. *-commutativeN/A

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

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

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

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
              10. *-commutativeN/A

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
              12. lower-cos.f32N/A

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
              13. *-commutativeN/A

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
              15. *-commutativeN/A

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
              17. lower-PI.f3298.8

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
            7. Applied rewrites98.8%

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

              \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, xi + \color{blue}{uy \cdot \left(2 \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right) + uy \cdot \left(-2 \cdot \left(xi \cdot {\mathsf{PI}\left(\right)}^{2}\right) + \frac{-4}{3} \cdot \left(uy \cdot \left(yi \cdot {\mathsf{PI}\left(\right)}^{3}\right)\right)\right)\right)}\right) \]
            9. Step-by-step derivation
              1. Applied rewrites89.5%

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot yi\right) \cdot uy, -1.3333333333333333, \left(\left(\pi \cdot \pi\right) \cdot xi\right) \cdot -2\right), uy, \left(yi \cdot \pi\right) \cdot 2\right), \color{blue}{uy}, xi\right)\right) \]
              2. Final simplification89.5%

                \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(\pi \cdot \pi\right) \cdot \pi\right) \cdot yi\right) \cdot uy, -1.3333333333333333, -2 \cdot \left(\left(\pi \cdot \pi\right) \cdot xi\right)\right), uy, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right) \]
              3. Add Preprocessing

              Alternative 11: 85.3% accurate, 6.2× speedup?

              \[\begin{array}{l} \\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot xi\right) \cdot uy, -2, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right) \end{array} \]
              (FPCore (xi yi zi ux uy maxCos)
               :precision binary32
               (fma
                (* (- 1.0 ux) zi)
                (* maxCos ux)
                (fma (fma (* (* (* PI PI) xi) uy) -2.0 (* (* PI yi) 2.0)) uy xi)))
              float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
              	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf(fmaf((((((float) M_PI) * ((float) M_PI)) * xi) * uy), -2.0f, ((((float) M_PI) * yi) * 2.0f)), uy, xi));
              }
              
              function code(xi, yi, zi, ux, uy, maxCos)
              	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(fma(Float32(Float32(Float32(Float32(pi) * Float32(pi)) * xi) * uy), Float32(-2.0), Float32(Float32(Float32(pi) * yi) * Float32(2.0))), uy, xi))
              end
              
              \begin{array}{l}
              
              \\
              \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot xi\right) \cdot uy, -2, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right)
              \end{array}
              
              Derivation
              1. Initial program 98.9%

                \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
              2. Add Preprocessing
              3. Step-by-step derivation
                1. lift-+.f32N/A

                  \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
                2. +-commutativeN/A

                  \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
                3. lift-*.f32N/A

                  \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
                4. *-commutativeN/A

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

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

                  \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
                7. associate-*l*N/A

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

                  \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
              4. Applied rewrites99.0%

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
              6. Step-by-step derivation
                1. +-commutativeN/A

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
                3. lower-fma.f32N/A

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
                4. lower-sin.f32N/A

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
                5. *-commutativeN/A

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

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

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

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
                10. *-commutativeN/A

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
                12. lower-cos.f32N/A

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
                13. *-commutativeN/A

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
                15. *-commutativeN/A

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
                17. lower-PI.f3298.8

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
              7. Applied rewrites98.8%

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

                \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, xi + \color{blue}{uy \cdot \left(-2 \cdot \left(uy \cdot \left(xi \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right) + 2 \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
              9. Step-by-step derivation
                1. Applied rewrites86.2%

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot xi\right) \cdot uy, -2, \left(yi \cdot \pi\right) \cdot 2\right), \color{blue}{uy}, xi\right)\right) \]
                2. Final simplification86.2%

                  \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\pi \cdot \pi\right) \cdot xi\right) \cdot uy, -2, \left(\pi \cdot yi\right) \cdot 2\right), uy, xi\right)\right) \]
                3. Add Preprocessing

                Alternative 12: 81.3% accurate, 9.8× speedup?

                \[\begin{array}{l} \\ \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \end{array} \]
                (FPCore (xi yi zi ux uy maxCos)
                 :precision binary32
                 (fma (* (- 1.0 ux) zi) (* maxCos ux) (fma (* (* PI yi) uy) 2.0 xi)))
                float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                	return fmaf(((1.0f - ux) * zi), (maxCos * ux), fmaf(((((float) M_PI) * yi) * uy), 2.0f, xi));
                }
                
                function code(xi, yi, zi, ux, uy, maxCos)
                	return fma(Float32(Float32(Float32(1.0) - ux) * zi), Float32(maxCos * ux), fma(Float32(Float32(Float32(pi) * yi) * uy), Float32(2.0), xi))
                end
                
                \begin{array}{l}
                
                \\
                \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right)
                \end{array}
                
                Derivation
                1. Initial program 98.9%

                  \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                2. Add Preprocessing
                3. Step-by-step derivation
                  1. lift-+.f32N/A

                    \[\leadsto \color{blue}{\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} \]
                  2. +-commutativeN/A

                    \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right)} \]
                  3. lift-*.f32N/A

                    \[\leadsto \color{blue}{\left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
                  4. *-commutativeN/A

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

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

                    \[\leadsto zi \cdot \left(\color{blue}{\left(\left(1 - ux\right) \cdot maxCos\right)} \cdot ux\right) + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
                  7. associate-*l*N/A

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

                    \[\leadsto \color{blue}{\left(zi \cdot \left(1 - ux\right)\right) \cdot \left(maxCos \cdot ux\right)} + \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) \]
                4. Applied rewrites99.0%

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) + yi \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
                6. Step-by-step derivation
                  1. +-commutativeN/A

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

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot yi} + xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \]
                  3. lower-fma.f32N/A

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \color{blue}{\mathsf{fma}\left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)}\right) \]
                  4. lower-sin.f32N/A

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\color{blue}{\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}, yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
                  5. *-commutativeN/A

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

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

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

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

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right), yi, xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right)\right) \]
                  10. *-commutativeN/A

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

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot xi}\right)\right) \]
                  12. lower-cos.f32N/A

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi\right)\right) \]
                  13. *-commutativeN/A

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

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \color{blue}{\left(\left(uy \cdot \mathsf{PI}\left(\right)\right) \cdot 2\right)} \cdot xi\right)\right) \]
                  15. *-commutativeN/A

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

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right), yi, \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi\right)\right) \]
                  17. lower-PI.f3298.8

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\sin \left(\left(\pi \cdot uy\right) \cdot 2\right), yi, \cos \left(\left(\color{blue}{\pi} \cdot uy\right) \cdot 2\right) \cdot xi\right)\right) \]
                7. Applied rewrites98.8%

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

                  \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, xi + \color{blue}{2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)}\right) \]
                9. Step-by-step derivation
                  1. Applied rewrites82.0%

                    \[\leadsto \mathsf{fma}\left(zi \cdot \left(1 - ux\right), maxCos \cdot ux, \mathsf{fma}\left(\left(yi \cdot \pi\right) \cdot uy, \color{blue}{2}, xi\right)\right) \]
                  2. Final simplification82.0%

                    \[\leadsto \mathsf{fma}\left(\left(1 - ux\right) \cdot zi, maxCos \cdot ux, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \]
                  3. Add Preprocessing

                  Alternative 13: 81.3% accurate, 9.8× speedup?

                  \[\begin{array}{l} \\ \mathsf{fma}\left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \end{array} \]
                  (FPCore (xi yi zi ux uy maxCos)
                   :precision binary32
                   (fma (* (* (- 1.0 ux) zi) ux) maxCos (fma (* (* PI yi) uy) 2.0 xi)))
                  float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                  	return fmaf((((1.0f - ux) * zi) * ux), maxCos, fmaf(((((float) M_PI) * yi) * uy), 2.0f, xi));
                  }
                  
                  function code(xi, yi, zi, ux, uy, maxCos)
                  	return fma(Float32(Float32(Float32(Float32(1.0) - ux) * zi) * ux), maxCos, fma(Float32(Float32(Float32(pi) * yi) * uy), Float32(2.0), xi))
                  end
                  
                  \begin{array}{l}
                  
                  \\
                  \mathsf{fma}\left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right)
                  \end{array}
                  
                  Derivation
                  1. Initial program 98.9%

                    \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                  2. Add Preprocessing
                  3. Taylor expanded in uy around 0

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

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

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

                      \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                    4. distribute-rgt-outN/A

                      \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                  5. Applied rewrites82.2%

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

                    \[\leadsto xi + \color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)\right)} \]
                  7. Step-by-step derivation
                    1. Applied rewrites82.0%

                      \[\leadsto \mathsf{fma}\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux, \color{blue}{maxCos}, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \]
                    2. Final simplification82.0%

                      \[\leadsto \mathsf{fma}\left(\left(\left(1 - ux\right) \cdot zi\right) \cdot ux, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \]
                    3. Add Preprocessing

                    Alternative 14: 78.6% accurate, 12.6× speedup?

                    \[\begin{array}{l} \\ \mathsf{fma}\left(ux \cdot zi, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \end{array} \]
                    (FPCore (xi yi zi ux uy maxCos)
                     :precision binary32
                     (fma (* ux zi) maxCos (fma (* (* PI yi) uy) 2.0 xi)))
                    float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                    	return fmaf((ux * zi), maxCos, fmaf(((((float) M_PI) * yi) * uy), 2.0f, xi));
                    }
                    
                    function code(xi, yi, zi, ux, uy, maxCos)
                    	return fma(Float32(ux * zi), maxCos, fma(Float32(Float32(Float32(pi) * yi) * uy), Float32(2.0), xi))
                    end
                    
                    \begin{array}{l}
                    
                    \\
                    \mathsf{fma}\left(ux \cdot zi, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right)
                    \end{array}
                    
                    Derivation
                    1. Initial program 98.9%

                      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                    2. Add Preprocessing
                    3. Taylor expanded in uy around 0

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

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

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

                        \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                      4. distribute-rgt-outN/A

                        \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                    5. Applied rewrites82.2%

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

                      \[\leadsto xi + \color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + maxCos \cdot \left(ux \cdot zi\right)\right)} \]
                    7. Step-by-step derivation
                      1. Applied rewrites80.7%

                        \[\leadsto \mathsf{fma}\left(zi \cdot ux, \color{blue}{maxCos}, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \]
                      2. Final simplification80.7%

                        \[\leadsto \mathsf{fma}\left(ux \cdot zi, maxCos, \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)\right) \]
                      3. Add Preprocessing

                      Alternative 15: 73.6% accurate, 20.8× speedup?

                      \[\begin{array}{l} \\ \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right) \end{array} \]
                      (FPCore (xi yi zi ux uy maxCos)
                       :precision binary32
                       (fma (* (* PI yi) uy) 2.0 xi))
                      float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                      	return fmaf(((((float) M_PI) * yi) * uy), 2.0f, xi);
                      }
                      
                      function code(xi, yi, zi, ux, uy, maxCos)
                      	return fma(Float32(Float32(Float32(pi) * yi) * uy), Float32(2.0), xi)
                      end
                      
                      \begin{array}{l}
                      
                      \\
                      \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, 2, xi\right)
                      \end{array}
                      
                      Derivation
                      1. Initial program 98.9%

                        \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                      2. Add Preprocessing
                      3. Taylor expanded in uy around 0

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

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

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

                          \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                        4. distribute-rgt-outN/A

                          \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                      5. Applied rewrites82.2%

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

                        \[\leadsto xi + \color{blue}{2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                      7. Step-by-step derivation
                        1. Applied rewrites77.1%

                          \[\leadsto \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, \color{blue}{2}, xi\right) \]
                        2. Add Preprocessing

                        Alternative 16: 73.6% accurate, 20.8× speedup?

                        \[\begin{array}{l} \\ \mathsf{fma}\left(\left(uy \cdot yi\right) \cdot \pi, 2, xi\right) \end{array} \]
                        (FPCore (xi yi zi ux uy maxCos)
                         :precision binary32
                         (fma (* (* uy yi) PI) 2.0 xi))
                        float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                        	return fmaf(((uy * yi) * ((float) M_PI)), 2.0f, xi);
                        }
                        
                        function code(xi, yi, zi, ux, uy, maxCos)
                        	return fma(Float32(Float32(uy * yi) * Float32(pi)), Float32(2.0), xi)
                        end
                        
                        \begin{array}{l}
                        
                        \\
                        \mathsf{fma}\left(\left(uy \cdot yi\right) \cdot \pi, 2, xi\right)
                        \end{array}
                        
                        Derivation
                        1. Initial program 98.9%

                          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                        2. Add Preprocessing
                        3. Taylor expanded in uy around 0

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

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

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

                            \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                          4. distribute-rgt-outN/A

                            \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                        5. Applied rewrites82.2%

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

                          \[\leadsto xi + \color{blue}{2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                        7. Step-by-step derivation
                          1. Applied rewrites77.1%

                            \[\leadsto \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, \color{blue}{2}, xi\right) \]
                          2. Step-by-step derivation
                            1. Applied rewrites77.1%

                              \[\leadsto \mathsf{fma}\left(\left(uy \cdot yi\right) \cdot \pi, 2, xi\right) \]
                            2. Add Preprocessing

                            Alternative 17: 73.7% accurate, 20.8× speedup?

                            \[\begin{array}{l} \\ \mathsf{fma}\left(yi, \left(uy \cdot \pi\right) \cdot 2, xi\right) \end{array} \]
                            (FPCore (xi yi zi ux uy maxCos)
                             :precision binary32
                             (fma yi (* (* uy PI) 2.0) xi))
                            float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                            	return fmaf(yi, ((uy * ((float) M_PI)) * 2.0f), xi);
                            }
                            
                            function code(xi, yi, zi, ux, uy, maxCos)
                            	return fma(yi, Float32(Float32(uy * Float32(pi)) * Float32(2.0)), xi)
                            end
                            
                            \begin{array}{l}
                            
                            \\
                            \mathsf{fma}\left(yi, \left(uy \cdot \pi\right) \cdot 2, xi\right)
                            \end{array}
                            
                            Derivation
                            1. Initial program 98.9%

                              \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                            2. Add Preprocessing
                            3. Taylor expanded in uy around 0

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

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

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

                                \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                              4. distribute-rgt-outN/A

                                \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                            5. Applied rewrites82.2%

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

                              \[\leadsto xi + \color{blue}{2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                            7. Step-by-step derivation
                              1. Applied rewrites77.1%

                                \[\leadsto \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, \color{blue}{2}, xi\right) \]
                              2. Step-by-step derivation
                                1. Applied rewrites77.1%

                                  \[\leadsto \color{blue}{\mathsf{fma}\left(yi, \left(uy \cdot \pi\right) \cdot 2, xi\right)} \]
                                2. Add Preprocessing

                                Alternative 18: 32.3% accurate, 22.1× speedup?

                                \[\begin{array}{l} \\ \left(\left(\pi \cdot yi\right) \cdot uy\right) \cdot 2 \end{array} \]
                                (FPCore (xi yi zi ux uy maxCos) :precision binary32 (* (* (* PI yi) uy) 2.0))
                                float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                                	return ((((float) M_PI) * yi) * uy) * 2.0f;
                                }
                                
                                function code(xi, yi, zi, ux, uy, maxCos)
                                	return Float32(Float32(Float32(Float32(pi) * yi) * uy) * Float32(2.0))
                                end
                                
                                function tmp = code(xi, yi, zi, ux, uy, maxCos)
                                	tmp = ((single(pi) * yi) * uy) * single(2.0);
                                end
                                
                                \begin{array}{l}
                                
                                \\
                                \left(\left(\pi \cdot yi\right) \cdot uy\right) \cdot 2
                                \end{array}
                                
                                Derivation
                                1. Initial program 98.9%

                                  \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                                2. Add Preprocessing
                                3. Taylor expanded in uy around 0

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

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

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

                                    \[\leadsto \left(\color{blue}{\left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}} + xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                                  4. distribute-rgt-outN/A

                                    \[\leadsto \color{blue}{\sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)} \cdot \left(2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right) + xi\right)} + maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \]
                                5. Applied rewrites82.2%

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

                                  \[\leadsto xi + \color{blue}{2 \cdot \left(uy \cdot \left(yi \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                                7. Step-by-step derivation
                                  1. Applied rewrites77.1%

                                    \[\leadsto \mathsf{fma}\left(\left(\pi \cdot yi\right) \cdot uy, \color{blue}{2}, xi\right) \]
                                  2. Taylor expanded in yi around inf

                                    \[\leadsto 2 \cdot \left(uy \cdot \color{blue}{\left(yi \cdot \mathsf{PI}\left(\right)\right)}\right) \]
                                  3. Step-by-step derivation
                                    1. Applied rewrites36.0%

                                      \[\leadsto \left(\left(yi \cdot \pi\right) \cdot uy\right) \cdot 2 \]
                                    2. Final simplification36.0%

                                      \[\leadsto \left(\left(\pi \cdot yi\right) \cdot uy\right) \cdot 2 \]
                                    3. Add Preprocessing

                                    Alternative 19: 12.1% accurate, 32.1× speedup?

                                    \[\begin{array}{l} \\ \left(ux \cdot zi\right) \cdot maxCos \end{array} \]
                                    (FPCore (xi yi zi ux uy maxCos) :precision binary32 (* (* ux zi) maxCos))
                                    float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                                    	return (ux * zi) * maxCos;
                                    }
                                    
                                    real(4) function code(xi, yi, zi, ux, uy, maxcos)
                                        real(4), intent (in) :: xi
                                        real(4), intent (in) :: yi
                                        real(4), intent (in) :: zi
                                        real(4), intent (in) :: ux
                                        real(4), intent (in) :: uy
                                        real(4), intent (in) :: maxcos
                                        code = (ux * zi) * maxcos
                                    end function
                                    
                                    function code(xi, yi, zi, ux, uy, maxCos)
                                    	return Float32(Float32(ux * zi) * maxCos)
                                    end
                                    
                                    function tmp = code(xi, yi, zi, ux, uy, maxCos)
                                    	tmp = (ux * zi) * maxCos;
                                    end
                                    
                                    \begin{array}{l}
                                    
                                    \\
                                    \left(ux \cdot zi\right) \cdot maxCos
                                    \end{array}
                                    
                                    Derivation
                                    1. Initial program 98.9%

                                      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                                    2. Add Preprocessing
                                    3. Taylor expanded in zi around inf

                                      \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right)} \]
                                    4. Step-by-step derivation
                                      1. *-commutativeN/A

                                        \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} \]
                                      2. lower-*.f32N/A

                                        \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} \]
                                      3. *-commutativeN/A

                                        \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right)} \cdot maxCos \]
                                      4. lower-*.f32N/A

                                        \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right)} \cdot maxCos \]
                                      5. lower-*.f32N/A

                                        \[\leadsto \left(\color{blue}{\left(zi \cdot \left(1 - ux\right)\right)} \cdot ux\right) \cdot maxCos \]
                                      6. lower--.f3211.1

                                        \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos \]
                                    5. Applied rewrites11.1%

                                      \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos} \]
                                    6. Taylor expanded in ux around 0

                                      \[\leadsto \left(ux \cdot zi\right) \cdot maxCos \]
                                    7. Step-by-step derivation
                                      1. Applied rewrites10.5%

                                        \[\leadsto \left(zi \cdot ux\right) \cdot maxCos \]
                                      2. Final simplification10.5%

                                        \[\leadsto \left(ux \cdot zi\right) \cdot maxCos \]
                                      3. Add Preprocessing

                                      Reproduce

                                      ?
                                      herbie shell --seed 2024235 
                                      (FPCore (xi yi zi ux uy maxCos)
                                        :name "UniformSampleCone 2"
                                        :precision binary32
                                        :pre (and (and (and (and (and (and (<= -10000.0 xi) (<= xi 10000.0)) (and (<= -10000.0 yi) (<= yi 10000.0))) (and (<= -10000.0 zi) (<= zi 10000.0))) (and (<= 2.328306437e-10 ux) (<= ux 1.0))) (and (<= 2.328306437e-10 uy) (<= uy 1.0))) (and (<= 0.0 maxCos) (<= maxCos 1.0)))
                                        (+ (+ (* (* (cos (* (* uy 2.0) PI)) (sqrt (- 1.0 (* (* (* (- 1.0 ux) maxCos) ux) (* (* (- 1.0 ux) maxCos) ux))))) xi) (* (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* (* (* (- 1.0 ux) maxCos) ux) (* (* (- 1.0 ux) maxCos) ux))))) yi)) (* (* (* (- 1.0 ux) maxCos) ux) zi)))