UniformSampleCone 2

Percentage Accurate: 98.9% → 98.9%
Time: 22.9s
Alternatives: 15
Speedup: 1.0×

Specification

?
\[\left(\left(\left(\left(\left(-10000 \leq xi \land xi \leq 10000\right) \land \left(-10000 \leq yi \land yi \leq 10000\right)\right) \land \left(-10000 \leq zi \land zi \leq 10000\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq ux \land ux \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq uy \land uy \leq 1\right)\right) \land \left(0 \leq maxCos \land maxCos \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\ t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\ t_2 := \left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\\ \left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi \end{array} \end{array} \]
(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))))
\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 \mathsf{PI}\left(\right)\\
\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 15 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?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\\ t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\ t_2 := \left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\\ \left(\left(\cos t\_2 \cdot t\_1\right) \cdot xi + \left(\sin t\_2 \cdot t\_1\right) \cdot yi\right) + t\_0 \cdot zi \end{array} \end{array} \]
(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))))
\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 \mathsf{PI}\left(\right)\\
\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: 98.9% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_1 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\ \left(\sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}} \cdot \left(\sin t\_1 \cdot yi\right) + xi \cdot \left(\sqrt{1 - t\_0 \cdot t\_0} \cdot \cos t\_1\right)\right) - t\_0 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (- ux 1.0) maxCos) ux)) (t_1 (* (PI) (* 2.0 uy))))
   (-
    (+
     (* (sqrt (- 1.0 (pow (* (* maxCos (- 1.0 ux)) ux) 2.0))) (* (sin t_1) yi))
     (* xi (* (sqrt (- 1.0 (* t_0 t_0))) (cos t_1))))
    (* t_0 zi))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
t_1 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\
\left(\sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}} \cdot \left(\sin t\_1 \cdot yi\right) + xi \cdot \left(\sqrt{1 - t\_0 \cdot t\_0} \cdot \cos t\_1\right)\right) - t\_0 \cdot zi
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Alternative 2: 98.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\ t_2 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\ \left(\left(\sin t\_2 \cdot t\_1\right) \cdot yi + xi \cdot \left(t\_1 \cdot \cos t\_2\right)\right) - t\_0 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (- ux 1.0) maxCos) ux))
        (t_1 (sqrt (- 1.0 (* t_0 t_0))))
        (t_2 (* (PI) (* 2.0 uy))))
   (- (+ (* (* (sin t_2) t_1) yi) (* xi (* t_1 (cos t_2)))) (* t_0 zi))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
t_1 := \sqrt{1 - t\_0 \cdot t\_0}\\
t_2 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\
\left(\left(\sin t\_2 \cdot t\_1\right) \cdot yi + xi \cdot \left(t\_1 \cdot \cos t\_2\right)\right) - t\_0 \cdot zi
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
  2. Add Preprocessing
  3. Final simplification99.0%

    \[\leadsto \left(\left(\sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi + xi \cdot \left(\sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)} \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
  4. Add Preprocessing

Alternative 3: 98.8% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\ t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ \left(\sqrt{1 - \left(maxCos \cdot maxCos\right) \cdot \left(ux \cdot ux\right)} \cdot \left(\sin t\_0 \cdot yi\right) + xi \cdot \left(\sqrt{1 - t\_1 \cdot t\_1} \cdot \cos t\_0\right)\right) - t\_1 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (PI) (* 2.0 uy))) (t_1 (* (* (- ux 1.0) maxCos) ux)))
   (-
    (+
     (* (sqrt (- 1.0 (* (* maxCos maxCos) (* ux ux)))) (* (sin t_0) yi))
     (* xi (* (sqrt (- 1.0 (* t_1 t_1))) (cos t_0))))
    (* t_1 zi))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\\
t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
\left(\sqrt{1 - \left(maxCos \cdot maxCos\right) \cdot \left(ux \cdot ux\right)} \cdot \left(\sin t\_0 \cdot yi\right) + xi \cdot \left(\sqrt{1 - t\_1 \cdot t\_1} \cdot \cos t\_0\right)\right) - t\_1 \cdot zi
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(yi \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right) \cdot \sqrt{1 - \color{blue}{{ux}^{2} \cdot {maxCos}^{2}}}\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    3. unpow2N/A

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

      \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(yi \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right) \cdot \sqrt{1 - \color{blue}{\left(ux \cdot ux\right)} \cdot {maxCos}^{2}}\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    5. unpow2N/A

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

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

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

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

Alternative 4: 98.8% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ \left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot yi + xi \cdot \left(\sqrt{1 - t\_0 \cdot t\_0} \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_0 \cdot zi \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (- ux 1.0) maxCos) ux)))
   (-
    (+
     (* (sin (* (* (PI) uy) 2.0)) yi)
     (* xi (* (sqrt (- 1.0 (* t_0 t_0))) (cos (* (PI) (* 2.0 uy))))))
    (* t_0 zi))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
\left(\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot yi + xi \cdot \left(\sqrt{1 - t\_0 \cdot t\_0} \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_0 \cdot zi
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

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

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

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

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

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

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

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

      \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \sin \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    8. lower-PI.f3298.9

      \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \sin \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
  5. Applied rewrites98.9%

    \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \color{blue}{\sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot yi}\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
  6. Final simplification98.9%

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

Alternative 5: 97.6% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\ t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_2 := \sqrt{1 - t\_1 \cdot t\_1}\\ \mathbf{if}\;2 \cdot uy \leq 0.0009500000160187483:\\ \;\;\;\;\left(\left(t\_0 \cdot t\_2\right) \cdot yi + xi \cdot \left(t\_2 \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_1 \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{\cos t\_0}{yi} \cdot xi + \sin t\_0\right) \cdot yi + \left(zi \cdot ux\right) \cdot maxCos\\ \end{array} \end{array} \]
(FPCore (xi yi zi ux uy maxCos)
 :precision binary32
 (let* ((t_0 (* (* (PI) uy) 2.0))
        (t_1 (* (* (- ux 1.0) maxCos) ux))
        (t_2 (sqrt (- 1.0 (* t_1 t_1)))))
   (if (<= (* 2.0 uy) 0.0009500000160187483)
     (-
      (+ (* (* t_0 t_2) yi) (* xi (* t_2 (cos (* (PI) (* 2.0 uy))))))
      (* t_1 zi))
     (+ (* (+ (* (/ (cos t_0) yi) xi) (sin t_0)) yi) (* (* zi ux) maxCos)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\
t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
t_2 := \sqrt{1 - t\_1 \cdot t\_1}\\
\mathbf{if}\;2 \cdot uy \leq 0.0009500000160187483:\\
\;\;\;\;\left(\left(t\_0 \cdot t\_2\right) \cdot yi + xi \cdot \left(t\_2 \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_1 \cdot zi\\

\mathbf{else}:\\
\;\;\;\;\left(\frac{\cos t\_0}{yi} \cdot xi + \sin t\_0\right) \cdot yi + \left(zi \cdot ux\right) \cdot maxCos\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 uy #s(literal 2 binary32)) < 9.50000016e-4

    1. Initial program 99.3%

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

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

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

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

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

        \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
      5. lower-PI.f3299.2

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

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

    if 9.50000016e-4 < (*.f32 uy #s(literal 2 binary32))

    1. Initial program 98.5%

      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    2. Add Preprocessing
    3. Applied rewrites88.5%

      \[\leadsto \color{blue}{\frac{{\left(\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2} - {\left(\left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2}}{\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right) - \left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)}} + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    4. Taylor expanded in yi around -inf

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

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

      \[\leadsto maxCos \cdot \left(ux \cdot zi\right) - \color{blue}{yi \cdot \left(-1 \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) - \frac{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right)} \]
    7. Step-by-step derivation
      1. Applied rewrites94.2%

        \[\leadsto maxCos \cdot \left(ux \cdot zi\right) - \color{blue}{yi \cdot \left(\left(-\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) - xi \cdot \frac{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right)} \]
    8. Recombined 2 regimes into one program.
    9. Final simplification97.4%

      \[\leadsto \begin{array}{l} \mathbf{if}\;2 \cdot uy \leq 0.0009500000160187483:\\ \;\;\;\;\left(\left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi + xi \cdot \left(\sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)} \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)}{yi} \cdot xi + \sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)\right) \cdot yi + \left(zi \cdot ux\right) \cdot maxCos\\ \end{array} \]
    10. Add Preprocessing

    Alternative 6: 97.8% accurate, 1.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\ \left(\frac{\cos t\_0}{yi} \cdot xi + \sin t\_0\right) \cdot yi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \end{array} \end{array} \]
    (FPCore (xi yi zi ux uy maxCos)
     :precision binary32
     (let* ((t_0 (* (* (PI) uy) 2.0)))
       (-
        (* (+ (* (/ (cos t_0) yi) xi) (sin t_0)) yi)
        (* (* (* (- ux 1.0) zi) ux) maxCos))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\
    \left(\frac{\cos t\_0}{yi} \cdot xi + \sin t\_0\right) \cdot yi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    2. Add Preprocessing
    3. Applied rewrites83.4%

      \[\leadsto \color{blue}{\frac{{\left(\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2} - {\left(\left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2}}{\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right) - \left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)}} + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
    4. Taylor expanded in yi around -inf

      \[\leadsto \color{blue}{-1 \cdot \left(yi \cdot \left(-1 \cdot \left(\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) + -1 \cdot \frac{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(\left(xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)}{yi}\right)\right)} \]
    5. Applied rewrites98.8%

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

      \[\leadsto maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - \color{blue}{yi \cdot \left(-1 \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) - \frac{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right)} \]
    7. Step-by-step derivation
      1. Applied rewrites97.9%

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

        \[\leadsto \left(\frac{\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)}{yi} \cdot xi + \sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)\right) \cdot yi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \]
      3. Add Preprocessing

      Alternative 7: 95.9% accurate, 1.3× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\ t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_2 := \sqrt{1 - t\_1 \cdot t\_1}\\ \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\ \;\;\;\;\left(\left(t\_0 \cdot t\_2\right) \cdot yi + xi \cdot \left(t\_2 \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_1 \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(-yi\right) \cdot \left(\frac{\cos t\_0}{-yi} \cdot xi - \sin t\_0\right)\\ \end{array} \end{array} \]
      (FPCore (xi yi zi ux uy maxCos)
       :precision binary32
       (let* ((t_0 (* (* (PI) uy) 2.0))
              (t_1 (* (* (- ux 1.0) maxCos) ux))
              (t_2 (sqrt (- 1.0 (* t_1 t_1)))))
         (if (<= (* 2.0 uy) 0.0015999999595806003)
           (-
            (+ (* (* t_0 t_2) yi) (* xi (* t_2 (cos (* (PI) (* 2.0 uy))))))
            (* t_1 zi))
           (* (- yi) (- (* (/ (cos t_0) (- yi)) xi) (sin t_0))))))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\
      t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
      t_2 := \sqrt{1 - t\_1 \cdot t\_1}\\
      \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\
      \;\;\;\;\left(\left(t\_0 \cdot t\_2\right) \cdot yi + xi \cdot \left(t\_2 \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - t\_1 \cdot zi\\
      
      \mathbf{else}:\\
      \;\;\;\;\left(-yi\right) \cdot \left(\frac{\cos t\_0}{-yi} \cdot xi - \sin t\_0\right)\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (*.f32 uy #s(literal 2 binary32)) < 0.00159999996

        1. Initial program 99.4%

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

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

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

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

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

            \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          5. lower-PI.f3299.1

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

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

        if 0.00159999996 < (*.f32 uy #s(literal 2 binary32))

        1. Initial program 98.4%

          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        2. Add Preprocessing
        3. Applied rewrites88.4%

          \[\leadsto \color{blue}{\frac{{\left(\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2} - {\left(\left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2}}{\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right) - \left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)}} + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
        4. Taylor expanded in yi around -inf

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

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

          \[\leadsto -\left(-1 \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) - \frac{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right) \cdot yi \]
        7. Step-by-step derivation
          1. Applied rewrites89.3%

            \[\leadsto -\left(\left(-\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) - xi \cdot \frac{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right) \cdot yi \]
        8. Recombined 2 regimes into one program.
        9. Final simplification95.8%

          \[\leadsto \begin{array}{l} \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\ \;\;\;\;\left(\left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi + xi \cdot \left(\sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)} \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)\right) - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(-yi\right) \cdot \left(\frac{\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)}{-yi} \cdot xi - \sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)\right)\\ \end{array} \]
        10. Add Preprocessing

        Alternative 8: 95.8% accurate, 1.4× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\ t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_2 := \cos t\_0\\ \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\ \;\;\;\;\left(t\_2 \cdot xi + \left(t\_0 \cdot \sqrt{1 - t\_1 \cdot t\_1}\right) \cdot yi\right) - t\_1 \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(-yi\right) \cdot \left(\frac{t\_2}{-yi} \cdot xi - \sin t\_0\right)\\ \end{array} \end{array} \]
        (FPCore (xi yi zi ux uy maxCos)
         :precision binary32
         (let* ((t_0 (* (* (PI) uy) 2.0))
                (t_1 (* (* (- ux 1.0) maxCos) ux))
                (t_2 (cos t_0)))
           (if (<= (* 2.0 uy) 0.0015999999595806003)
             (- (+ (* t_2 xi) (* (* t_0 (sqrt (- 1.0 (* t_1 t_1)))) yi)) (* t_1 zi))
             (* (- yi) (- (* (/ t_2 (- yi)) xi) (sin t_0))))))
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\
        t_1 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
        t_2 := \cos t\_0\\
        \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\
        \;\;\;\;\left(t\_2 \cdot xi + \left(t\_0 \cdot \sqrt{1 - t\_1 \cdot t\_1}\right) \cdot yi\right) - t\_1 \cdot zi\\
        
        \mathbf{else}:\\
        \;\;\;\;\left(-yi\right) \cdot \left(\frac{t\_2}{-yi} \cdot xi - \sin t\_0\right)\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if (*.f32 uy #s(literal 2 binary32)) < 0.00159999996

          1. Initial program 99.4%

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

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

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

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

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

              \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            5. lower-PI.f3299.1

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

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

            \[\leadsto \left(\color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          7. Step-by-step derivation
            1. lower-cos.f32N/A

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

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

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

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

              \[\leadsto \left(\cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            6. lower-PI.f3298.7

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

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

          if 0.00159999996 < (*.f32 uy #s(literal 2 binary32))

          1. Initial program 98.4%

            \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          2. Add Preprocessing
          3. Applied rewrites88.4%

            \[\leadsto \color{blue}{\frac{{\left(\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2} - {\left(\left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)\right)}^{2}}{\left(yi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right) - \left(xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}\right) \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(2 \cdot uy\right)\right)}} + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          4. Taylor expanded in yi around -inf

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

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

            \[\leadsto -\left(-1 \cdot \sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right) - \frac{xi \cdot \cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right) \cdot yi \]
          7. Step-by-step derivation
            1. Applied rewrites89.3%

              \[\leadsto -\left(\left(-\sin \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)\right) - xi \cdot \frac{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)}{yi}\right) \cdot yi \]
          8. Recombined 2 regimes into one program.
          9. Final simplification95.5%

            \[\leadsto \begin{array}{l} \mathbf{if}\;2 \cdot uy \leq 0.0015999999595806003:\\ \;\;\;\;\left(\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi\\ \mathbf{else}:\\ \;\;\;\;\left(-yi\right) \cdot \left(\frac{\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)}{-yi} \cdot xi - \sin \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)\right)\\ \end{array} \]
          10. Add Preprocessing

          Alternative 9: 90.1% accurate, 1.7× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\ t_1 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\ \left(\cos t\_1 \cdot xi + \left(t\_1 \cdot \sqrt{1 - t\_0 \cdot t\_0}\right) \cdot yi\right) - t\_0 \cdot zi \end{array} \end{array} \]
          (FPCore (xi yi zi ux uy maxCos)
           :precision binary32
           (let* ((t_0 (* (* (- ux 1.0) maxCos) ux)) (t_1 (* (* (PI) uy) 2.0)))
             (-
              (+ (* (cos t_1) xi) (* (* t_1 (sqrt (- 1.0 (* t_0 t_0)))) yi))
              (* t_0 zi))))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\\
          t_1 := \left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\\
          \left(\cos t\_1 \cdot xi + \left(t\_1 \cdot \sqrt{1 - t\_0 \cdot t\_0}\right) \cdot yi\right) - t\_0 \cdot zi
          \end{array}
          \end{array}
          
          Derivation
          1. Initial program 99.0%

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

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

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

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

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

              \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            5. lower-PI.f3291.1

              \[\leadsto \left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          5. Applied rewrites91.1%

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

            \[\leadsto \left(\color{blue}{\cos \left(2 \cdot \left(uy \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          7. Step-by-step derivation
            1. lower-cos.f32N/A

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

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

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

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

              \[\leadsto \left(\cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot uy\right)} \cdot 2\right) \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            6. lower-PI.f3290.8

              \[\leadsto \left(\cos \left(\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot uy\right) \cdot 2\right) \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          8. Applied rewrites90.8%

            \[\leadsto \left(\color{blue}{\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right)} \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          9. Final simplification90.8%

            \[\leadsto \left(\cos \left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot xi + \left(\left(\left(\mathsf{PI}\left(\right) \cdot uy\right) \cdot 2\right) \cdot \sqrt{1 - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          10. Add Preprocessing

          Alternative 10: 51.3% accurate, 2.3× speedup?

          \[\begin{array}{l} \\ \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}} \cdot xi - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \end{array} \]
          (FPCore (xi yi zi ux uy maxCos)
           :precision binary32
           (-
            (* (sqrt (- 1.0 (pow (* (* maxCos (- 1.0 ux)) ux) 2.0))) xi)
            (* (* (* (- ux 1.0) maxCos) ux) zi)))
          float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
          	return (sqrtf((1.0f - powf(((maxCos * (1.0f - ux)) * ux), 2.0f))) * xi) - ((((ux - 1.0f) * maxCos) * ux) * zi);
          }
          
          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 = (sqrt((1.0e0 - (((maxcos * (1.0e0 - ux)) * ux) ** 2.0e0))) * xi) - ((((ux - 1.0e0) * maxcos) * ux) * zi)
          end function
          
          function code(xi, yi, zi, ux, uy, maxCos)
          	return Float32(Float32(sqrt(Float32(Float32(1.0) - (Float32(Float32(maxCos * Float32(Float32(1.0) - ux)) * ux) ^ Float32(2.0)))) * xi) - Float32(Float32(Float32(Float32(ux - Float32(1.0)) * maxCos) * ux) * zi))
          end
          
          function tmp = code(xi, yi, zi, ux, uy, maxCos)
          	tmp = (sqrt((single(1.0) - (((maxCos * (single(1.0) - ux)) * ux) ^ single(2.0)))) * xi) - ((((ux - single(1.0)) * maxCos) * ux) * zi);
          end
          
          \begin{array}{l}
          
          \\
          \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}} \cdot xi - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi
          \end{array}
          
          Derivation
          1. Initial program 99.0%

            \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
          2. Add Preprocessing
          3. Applied rewrites83.4%

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

            \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)} \]
          5. Step-by-step derivation
            1. lower--.f32N/A

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

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

              \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
            4. *-commutativeN/A

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

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

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

              \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
            8. mul-1-negN/A

              \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \color{blue}{\left(\mathsf{neg}\left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)\right)} \]
            9. lower-neg.f32N/A

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

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

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

              \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{\color{blue}{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}}\right) \]
            13. *-commutativeN/A

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

              \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \color{blue}{\left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right) \cdot {maxCos}^{2}}}\right) \]
          6. Applied rewrites51.8%

            \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left({\left(1 - ux\right)}^{2} \cdot \left(ux \cdot ux\right)\right) \cdot \left(maxCos \cdot maxCos\right)}\right)} \]
          7. Step-by-step derivation
            1. Applied rewrites51.8%

              \[\leadsto zi \cdot \left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right) + \color{blue}{xi \cdot \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}}} \]
            2. Final simplification51.8%

              \[\leadsto \sqrt{1 - {\left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)}^{2}} \cdot xi - \left(\left(\left(ux - 1\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            3. Add Preprocessing

            Alternative 11: 51.3% accurate, 5.0× speedup?

            \[\begin{array}{l} \\ \sqrt{1 - \left(\left(maxCos \cdot ux\right) \cdot \left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)\right) \cdot \left(1 - ux\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \end{array} \]
            (FPCore (xi yi zi ux uy maxCos)
             :precision binary32
             (-
              (*
               (sqrt (- 1.0 (* (* (* maxCos ux) (* (* maxCos (- 1.0 ux)) ux)) (- 1.0 ux))))
               xi)
              (* (* (* (- ux 1.0) zi) ux) maxCos)))
            float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
            	return (sqrtf((1.0f - (((maxCos * ux) * ((maxCos * (1.0f - ux)) * ux)) * (1.0f - ux)))) * xi) - ((((ux - 1.0f) * zi) * ux) * 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 = (sqrt((1.0e0 - (((maxcos * ux) * ((maxcos * (1.0e0 - ux)) * ux)) * (1.0e0 - ux)))) * xi) - ((((ux - 1.0e0) * zi) * ux) * maxcos)
            end function
            
            function code(xi, yi, zi, ux, uy, maxCos)
            	return Float32(Float32(sqrt(Float32(Float32(1.0) - Float32(Float32(Float32(maxCos * ux) * Float32(Float32(maxCos * Float32(Float32(1.0) - ux)) * ux)) * Float32(Float32(1.0) - ux)))) * xi) - Float32(Float32(Float32(Float32(ux - Float32(1.0)) * zi) * ux) * maxCos))
            end
            
            function tmp = code(xi, yi, zi, ux, uy, maxCos)
            	tmp = (sqrt((single(1.0) - (((maxCos * ux) * ((maxCos * (single(1.0) - ux)) * ux)) * (single(1.0) - ux)))) * xi) - ((((ux - single(1.0)) * zi) * ux) * maxCos);
            end
            
            \begin{array}{l}
            
            \\
            \sqrt{1 - \left(\left(maxCos \cdot ux\right) \cdot \left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)\right) \cdot \left(1 - ux\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos
            \end{array}
            
            Derivation
            1. Initial program 99.0%

              \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
            2. Add Preprocessing
            3. Applied rewrites83.4%

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

              \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)} \]
            5. Step-by-step derivation
              1. lower--.f32N/A

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

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

                \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
              4. *-commutativeN/A

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

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

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

                \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
              8. mul-1-negN/A

                \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \color{blue}{\left(\mathsf{neg}\left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)\right)} \]
              9. lower-neg.f32N/A

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

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

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

                \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{\color{blue}{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}}\right) \]
              13. *-commutativeN/A

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

                \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \color{blue}{\left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right) \cdot {maxCos}^{2}}}\right) \]
            6. Applied rewrites51.8%

              \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left({\left(1 - ux\right)}^{2} \cdot \left(ux \cdot ux\right)\right) \cdot \left(maxCos \cdot maxCos\right)}\right)} \]
            7. Step-by-step derivation
              1. Applied rewrites51.8%

                \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left(1 - ux\right) \cdot \left(\left(maxCos \cdot ux\right) \cdot \left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)\right)}\right) \]
              2. Final simplification51.8%

                \[\leadsto \sqrt{1 - \left(\left(maxCos \cdot ux\right) \cdot \left(\left(maxCos \cdot \left(1 - ux\right)\right) \cdot ux\right)\right) \cdot \left(1 - ux\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \]
              3. Add Preprocessing

              Alternative 12: 51.3% accurate, 6.4× speedup?

              \[\begin{array}{l} \\ \sqrt{1 - \left(ux \cdot ux\right) \cdot \left(maxCos \cdot maxCos\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \end{array} \]
              (FPCore (xi yi zi ux uy maxCos)
               :precision binary32
               (-
                (* (sqrt (- 1.0 (* (* ux ux) (* maxCos maxCos)))) xi)
                (* (* (* (- ux 1.0) zi) ux) maxCos)))
              float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
              	return (sqrtf((1.0f - ((ux * ux) * (maxCos * maxCos)))) * xi) - ((((ux - 1.0f) * zi) * ux) * 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 = (sqrt((1.0e0 - ((ux * ux) * (maxcos * maxcos)))) * xi) - ((((ux - 1.0e0) * zi) * ux) * maxcos)
              end function
              
              function code(xi, yi, zi, ux, uy, maxCos)
              	return Float32(Float32(sqrt(Float32(Float32(1.0) - Float32(Float32(ux * ux) * Float32(maxCos * maxCos)))) * xi) - Float32(Float32(Float32(Float32(ux - Float32(1.0)) * zi) * ux) * maxCos))
              end
              
              function tmp = code(xi, yi, zi, ux, uy, maxCos)
              	tmp = (sqrt((single(1.0) - ((ux * ux) * (maxCos * maxCos)))) * xi) - ((((ux - single(1.0)) * zi) * ux) * maxCos);
              end
              
              \begin{array}{l}
              
              \\
              \sqrt{1 - \left(ux \cdot ux\right) \cdot \left(maxCos \cdot maxCos\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos
              \end{array}
              
              Derivation
              1. Initial program 99.0%

                \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
              2. Add Preprocessing
              3. Applied rewrites83.4%

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

                \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)} \]
              5. Step-by-step derivation
                1. lower--.f32N/A

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

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

                  \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                4. *-commutativeN/A

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

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

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

                  \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                8. mul-1-negN/A

                  \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \color{blue}{\left(\mathsf{neg}\left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)\right)} \]
                9. lower-neg.f32N/A

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

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

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

                  \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{\color{blue}{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}}\right) \]
                13. *-commutativeN/A

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

                  \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \color{blue}{\left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right) \cdot {maxCos}^{2}}}\right) \]
              6. Applied rewrites51.8%

                \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left({\left(1 - ux\right)}^{2} \cdot \left(ux \cdot ux\right)\right) \cdot \left(maxCos \cdot maxCos\right)}\right)} \]
              7. Taylor expanded in ux around 0

                \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - {ux}^{2} \cdot \left(maxCos \cdot maxCos\right)}\right) \]
              8. Step-by-step derivation
                1. Applied rewrites51.6%

                  \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left(ux \cdot ux\right) \cdot \left(maxCos \cdot maxCos\right)}\right) \]
                2. Final simplification51.6%

                  \[\leadsto \sqrt{1 - \left(ux \cdot ux\right) \cdot \left(maxCos \cdot maxCos\right)} \cdot xi - \left(\left(\left(ux - 1\right) \cdot zi\right) \cdot ux\right) \cdot maxCos \]
                3. Add Preprocessing

                Alternative 13: 49.2% accurate, 25.2× speedup?

                \[\begin{array}{l} \\ \left(zi \cdot ux\right) \cdot maxCos + xi \end{array} \]
                (FPCore (xi yi zi ux uy maxCos)
                 :precision binary32
                 (+ (* (* zi ux) maxCos) xi))
                float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                	return ((zi * ux) * maxCos) + xi;
                }
                
                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 = ((zi * ux) * maxcos) + xi
                end function
                
                function code(xi, yi, zi, ux, uy, maxCos)
                	return Float32(Float32(Float32(zi * ux) * maxCos) + xi)
                end
                
                function tmp = code(xi, yi, zi, ux, uy, maxCos)
                	tmp = ((zi * ux) * maxCos) + xi;
                end
                
                \begin{array}{l}
                
                \\
                \left(zi \cdot ux\right) \cdot maxCos + xi
                \end{array}
                
                Derivation
                1. Initial program 99.0%

                  \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                2. Add Preprocessing
                3. Applied rewrites83.4%

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

                  \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)} \]
                5. Step-by-step derivation
                  1. lower--.f32N/A

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

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

                    \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                  4. *-commutativeN/A

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

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

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

                    \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                  8. mul-1-negN/A

                    \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \color{blue}{\left(\mathsf{neg}\left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)\right)} \]
                  9. lower-neg.f32N/A

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

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

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

                    \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{\color{blue}{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}}\right) \]
                  13. *-commutativeN/A

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

                    \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \color{blue}{\left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right) \cdot {maxCos}^{2}}}\right) \]
                6. Applied rewrites51.8%

                  \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left({\left(1 - ux\right)}^{2} \cdot \left(ux \cdot ux\right)\right) \cdot \left(maxCos \cdot maxCos\right)}\right)} \]
                7. Taylor expanded in ux around 0

                  \[\leadsto xi + \color{blue}{maxCos \cdot \left(ux \cdot zi\right)} \]
                8. Step-by-step derivation
                  1. Applied rewrites43.8%

                    \[\leadsto \mathsf{fma}\left(maxCos, \color{blue}{ux \cdot zi}, xi\right) \]
                  2. Step-by-step derivation
                    1. Applied rewrites49.0%

                      \[\leadsto \left(zi \cdot ux\right) \cdot maxCos + xi \]
                    2. Add Preprocessing

                    Alternative 14: 45.1% accurate, 29.4× speedup?

                    \[\begin{array}{l} \\ \mathsf{fma}\left(maxCos, zi \cdot ux, xi\right) \end{array} \]
                    (FPCore (xi yi zi ux uy maxCos) :precision binary32 (fma maxCos (* zi ux) xi))
                    float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                    	return fmaf(maxCos, (zi * ux), xi);
                    }
                    
                    function code(xi, yi, zi, ux, uy, maxCos)
                    	return fma(maxCos, Float32(zi * ux), xi)
                    end
                    
                    \begin{array}{l}
                    
                    \\
                    \mathsf{fma}\left(maxCos, zi \cdot ux, xi\right)
                    \end{array}
                    
                    Derivation
                    1. Initial program 99.0%

                      \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                    2. Add Preprocessing
                    3. Applied rewrites83.4%

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

                      \[\leadsto \color{blue}{maxCos \cdot \left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)} \]
                    5. Step-by-step derivation
                      1. lower--.f32N/A

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

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

                        \[\leadsto \color{blue}{\left(ux \cdot \left(zi \cdot \left(1 - ux\right)\right)\right) \cdot maxCos} - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                      4. *-commutativeN/A

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

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

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

                        \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos - -1 \cdot \left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right) \]
                      8. mul-1-negN/A

                        \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \color{blue}{\left(\mathsf{neg}\left(xi \cdot \sqrt{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}\right)\right)} \]
                      9. lower-neg.f32N/A

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

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

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

                        \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{\color{blue}{1 - {maxCos}^{2} \cdot \left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right)}}\right) \]
                      13. *-commutativeN/A

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

                        \[\leadsto \left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \color{blue}{\left({ux}^{2} \cdot {\left(1 - ux\right)}^{2}\right) \cdot {maxCos}^{2}}}\right) \]
                    6. Applied rewrites51.8%

                      \[\leadsto \color{blue}{\left(\left(zi \cdot \left(1 - ux\right)\right) \cdot ux\right) \cdot maxCos - \left(-xi \cdot \sqrt{1 - \left({\left(1 - ux\right)}^{2} \cdot \left(ux \cdot ux\right)\right) \cdot \left(maxCos \cdot maxCos\right)}\right)} \]
                    7. Taylor expanded in ux around 0

                      \[\leadsto xi + \color{blue}{maxCos \cdot \left(ux \cdot zi\right)} \]
                    8. Step-by-step derivation
                      1. Applied rewrites43.8%

                        \[\leadsto \mathsf{fma}\left(maxCos, \color{blue}{ux \cdot zi}, xi\right) \]
                      2. Taylor expanded in ux around 0

                        \[\leadsto xi + \color{blue}{maxCos \cdot \left(ux \cdot zi\right)} \]
                      3. Step-by-step derivation
                        1. Applied rewrites43.8%

                          \[\leadsto \mathsf{fma}\left(maxCos, \color{blue}{ux \cdot zi}, xi\right) \]
                        2. Final simplification43.8%

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

                        Alternative 15: 12.0% accurate, 32.1× speedup?

                        \[\begin{array}{l} \\ \left(zi \cdot ux\right) \cdot maxCos \end{array} \]
                        (FPCore (xi yi zi ux uy maxCos) :precision binary32 (* (* zi ux) maxCos))
                        float code(float xi, float yi, float zi, float ux, float uy, float maxCos) {
                        	return (zi * ux) * 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 = (zi * ux) * maxcos
                        end function
                        
                        function code(xi, yi, zi, ux, uy, maxCos)
                        	return Float32(Float32(zi * ux) * maxCos)
                        end
                        
                        function tmp = code(xi, yi, zi, ux, uy, maxCos)
                        	tmp = (zi * ux) * maxCos;
                        end
                        
                        \begin{array}{l}
                        
                        \\
                        \left(zi \cdot ux\right) \cdot maxCos
                        \end{array}
                        
                        Derivation
                        1. Initial program 99.0%

                          \[\left(\left(\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot xi + \left(\sin \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right)}\right) \cdot yi\right) + \left(\left(\left(1 - ux\right) \cdot maxCos\right) \cdot ux\right) \cdot zi \]
                        2. 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--.f3214.9

                            \[\leadsto \left(\left(zi \cdot \color{blue}{\left(1 - ux\right)}\right) \cdot ux\right) \cdot maxCos \]
                        5. Applied rewrites14.9%

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

                          \[\leadsto \left(ux \cdot zi\right) \cdot maxCos \]
                        7. Step-by-step derivation
                          1. Applied rewrites12.8%

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

                          Reproduce

                          ?
                          herbie shell --seed 2024244 
                          (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)))