UniformSampleCone, x

Percentage Accurate: 56.8% → 99.0%
Time: 9.8s
Alternatives: 10
Speedup: 6.5×

Specification

?
\[\left(\left(2.328306437 \cdot 10^{-10} \leq ux \land ux \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq uy \land uy \leq 1\right)\right) \land \left(0 \leq maxCos \land maxCos \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - ux\right) + ux \cdot maxCos\\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - t\_0 \cdot t\_0} \end{array} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos))))
   (* (cos (* (* uy 2.0) (PI))) (sqrt (- 1.0 (* t_0 t_0))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}
\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 10 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: 56.8% accurate, 1.0× speedup?

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

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

Alternative 1: 99.0% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (*
  (cos (* (* uy 2.0) (PI)))
  (sqrt (* (- (* (- 1.0 maxCos) 2.0) (* (pow (- 1.0 maxCos) 2.0) ux)) ux))))
\begin{array}{l}

\\
\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux}
\end{array}
Derivation
  1. Initial program 57.7%

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
    2. unpow1N/A

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
    4. sqrt-pow1N/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
    5. pow2N/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
    6. rem-sqrt-square-revN/A

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

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

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
    10. fabs-subN/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
    11. unpow1N/A

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
    13. sqrt-pow1N/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
    14. pow2N/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
    15. rem-sqrt-square-revN/A

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

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

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
    19. fabs-subN/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
  4. Applied rewrites57.8%

    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
  5. Taylor expanded in maxCos around inf

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

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

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

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

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

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\color{blue}{\frac{ux}{maxCos}} - ux\right) - \frac{1}{maxCos}\right) \cdot maxCos\right)} \]
    7. lower-/.f3258.0

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\frac{ux}{maxCos} - ux\right) - \color{blue}{\frac{1}{maxCos}}\right) \cdot maxCos\right)} \]
  7. Applied rewrites58.0%

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

    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)}} \]
  9. Step-by-step derivation
    1. metadata-evalN/A

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - \color{blue}{\left(\mathsf{neg}\left(2\right)\right)} \cdot \left(1 - maxCos\right)\right)} \]
    2. fp-cancel-sign-sub-invN/A

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

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

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

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

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \left(1 - maxCos\right) + \color{blue}{\left(\mathsf{neg}\left(ux\right)\right)} \cdot {\left(1 - maxCos\right)}^{2}\right) \cdot ux} \]
    8. fp-cancel-sub-signN/A

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

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

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

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

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

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

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - \color{blue}{{\left(1 - maxCos\right)}^{2}} \cdot ux\right) \cdot ux} \]
    16. lower--.f3299.0

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2} \cdot ux\right) \cdot ux} \]
  10. Applied rewrites99.0%

    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux}} \]
  11. Add Preprocessing

Alternative 2: 85.5% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - ux\right) + ux \cdot maxCos\\ t_1 := \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right)\\ t_2 := \sqrt{1 - t\_0 \cdot t\_0}\\ \mathbf{if}\;t\_1 \cdot t\_2 \leq 0.025499999523162842:\\ \;\;\;\;t\_1 \cdot \sqrt{2 \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot t\_2\\ \end{array} \end{array} \]
(FPCore (ux uy maxCos)
 :precision binary32
 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos)))
        (t_1 (cos (* (* uy 2.0) (PI))))
        (t_2 (sqrt (- 1.0 (* t_0 t_0)))))
   (if (<= (* t_1 t_2) 0.025499999523162842)
     (* t_1 (sqrt (* 2.0 ux)))
     (* (+ 1.0 (* (* (* (* uy uy) -2.0) (PI)) (PI))) t_2))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
t_1 := \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right)\\
t_2 := \sqrt{1 - t\_0 \cdot t\_0}\\
\mathbf{if}\;t\_1 \cdot t\_2 \leq 0.025499999523162842:\\
\;\;\;\;t\_1 \cdot \sqrt{2 \cdot ux}\\

\mathbf{else}:\\
\;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot t\_2\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (cos.f32 (*.f32 (*.f32 uy #s(literal 2 binary32)) (PI.f32))) (sqrt.f32 (-.f32 #s(literal 1 binary32) (*.f32 (+.f32 (-.f32 #s(literal 1 binary32) ux) (*.f32 ux maxCos)) (+.f32 (-.f32 #s(literal 1 binary32) ux) (*.f32 ux maxCos)))))) < 0.0255

    1. Initial program 39.9%

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(2 - 2 \cdot maxCos\right)}} \]
    4. Step-by-step derivation
      1. metadata-evalN/A

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

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

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

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

        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{\left(-2 \cdot maxCos + 2\right)} \cdot ux} \]
      6. lower-fma.f3265.4

        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(-2, maxCos, 2\right)} \cdot ux} \]
    5. Applied rewrites65.3%

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

      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2 \cdot ux} \]
    7. Step-by-step derivation
      1. Applied rewrites87.2%

        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2 \cdot ux} \]

      if 0.0255 < (*.f32 (cos.f32 (*.f32 (*.f32 uy #s(literal 2 binary32)) (PI.f32))) (sqrt.f32 (-.f32 #s(literal 1 binary32) (*.f32 (+.f32 (-.f32 #s(literal 1 binary32) ux) (*.f32 ux maxCos)) (+.f32 (-.f32 #s(literal 1 binary32) ux) (*.f32 ux maxCos))))))

      1. Initial program 89.3%

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        11. lower-PI.f3280.3

          \[\leadsto \mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
      5. Applied rewrites80.3%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
      6. Step-by-step derivation
        1. Applied rewrites85.8%

          \[\leadsto \left(1 - \color{blue}{\left(-\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
      7. Recombined 2 regimes into one program.
      8. Final simplification86.7%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \leq 0.025499999523162842:\\ \;\;\;\;\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{2 \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}\\ \end{array} \]
      9. Add Preprocessing

      Alternative 3: 98.7% accurate, 0.9× speedup?

      \[\begin{array}{l} \\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \frac{1 - maxCos}{ux} + \left(-1 + maxCos\right) \cdot \left(1 - maxCos\right)\right) \cdot \left(ux \cdot ux\right)} \end{array} \]
      (FPCore (ux uy maxCos)
       :precision binary32
       (*
        (cos (* (* uy 2.0) (PI)))
        (sqrt
         (*
          (+ (* 2.0 (/ (- 1.0 maxCos) ux)) (* (+ -1.0 maxCos) (- 1.0 maxCos)))
          (* ux ux)))))
      \begin{array}{l}
      
      \\
      \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \frac{1 - maxCos}{ux} + \left(-1 + maxCos\right) \cdot \left(1 - maxCos\right)\right) \cdot \left(ux \cdot ux\right)}
      \end{array}
      
      Derivation
      1. Initial program 57.7%

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
        2. unpow1N/A

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        4. sqrt-pow1N/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        5. pow2N/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        6. rem-sqrt-square-revN/A

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

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

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        10. fabs-subN/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
        11. unpow1N/A

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
        13. sqrt-pow1N/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
        14. pow2N/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
        15. rem-sqrt-square-revN/A

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

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

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
        19. fabs-subN/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
      4. Applied rewrites57.8%

        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
      5. Taylor expanded in ux around inf

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

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

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

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

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

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

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

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

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2}\right) \cdot {ux}^{2}} \]
        10. unpow2N/A

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
        11. lower-*.f3298.8

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

        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \left(ux \cdot ux\right)}} \]
      8. Step-by-step derivation
        1. Applied rewrites98.8%

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \frac{1 - maxCos}{ux} + \left(-\left(1 - maxCos\right)\right) \cdot \left(1 - maxCos\right)\right) \cdot \left(\color{blue}{ux} \cdot ux\right)} \]
        2. Final simplification98.8%

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

        Alternative 4: 97.3% accurate, 1.0× speedup?

        \[\begin{array}{l} \\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux - \left(\mathsf{fma}\left(-2, ux, 2\right) \cdot ux\right) \cdot maxCos} \end{array} \]
        (FPCore (ux uy maxCos)
         :precision binary32
         (*
          (cos (* (* uy 2.0) (PI)))
          (sqrt (- (* (- 2.0 ux) ux) (* (* (fma -2.0 ux 2.0) ux) maxCos)))))
        \begin{array}{l}
        
        \\
        \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux - \left(\mathsf{fma}\left(-2, ux, 2\right) \cdot ux\right) \cdot maxCos}
        \end{array}
        
        Derivation
        1. Initial program 57.7%

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
          2. unpow1N/A

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          4. sqrt-pow1N/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          5. pow2N/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          6. rem-sqrt-square-revN/A

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

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

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          10. fabs-subN/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
          11. unpow1N/A

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
          13. sqrt-pow1N/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
          14. pow2N/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
          15. rem-sqrt-square-revN/A

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

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

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
          19. fabs-subN/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
        4. Applied rewrites57.8%

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
        5. Taylor expanded in maxCos around inf

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

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

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

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

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

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\color{blue}{\frac{ux}{maxCos}} - ux\right) - \frac{1}{maxCos}\right) \cdot maxCos\right)} \]
          7. lower-/.f3258.0

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\frac{ux}{maxCos} - ux\right) - \color{blue}{\frac{1}{maxCos}}\right) \cdot maxCos\right)} \]
        7. Applied rewrites58.0%

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)}} \]
        9. Step-by-step derivation
          1. metadata-evalN/A

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - \color{blue}{\left(\mathsf{neg}\left(2\right)\right)} \cdot \left(1 - maxCos\right)\right)} \]
          2. fp-cancel-sign-sub-invN/A

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

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

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

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

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \left(1 - maxCos\right) + \color{blue}{\left(\mathsf{neg}\left(ux\right)\right)} \cdot {\left(1 - maxCos\right)}^{2}\right) \cdot ux} \]
          8. fp-cancel-sub-signN/A

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

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

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

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

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

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

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - \color{blue}{{\left(1 - maxCos\right)}^{2}} \cdot ux\right) \cdot ux} \]
          16. lower--.f3299.0

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2} \cdot ux\right) \cdot ux} \]
        10. Applied rewrites99.0%

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

          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{-1 \cdot \left(maxCos \cdot \left(ux \cdot \left(2 + -2 \cdot ux\right)\right)\right) + \color{blue}{ux \cdot \left(2 - ux\right)}} \]
        12. Step-by-step derivation
          1. Applied rewrites92.2%

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

          Alternative 5: 97.3% accurate, 1.1× speedup?

          \[\begin{array}{l} \\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(2 - \mathsf{fma}\left(-2, ux, 2\right) \cdot maxCos\right) - ux\right) \cdot ux} \end{array} \]
          (FPCore (ux uy maxCos)
           :precision binary32
           (*
            (cos (* (* uy 2.0) (PI)))
            (sqrt (* (- (- 2.0 (* (fma -2.0 ux 2.0) maxCos)) ux) ux))))
          \begin{array}{l}
          
          \\
          \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(2 - \mathsf{fma}\left(-2, ux, 2\right) \cdot maxCos\right) - ux\right) \cdot ux}
          \end{array}
          
          Derivation
          1. Initial program 57.7%

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
            2. unpow1N/A

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            4. sqrt-pow1N/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            5. pow2N/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            6. rem-sqrt-square-revN/A

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

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

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            10. fabs-subN/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
            11. unpow1N/A

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
            13. sqrt-pow1N/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
            14. pow2N/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
            15. rem-sqrt-square-revN/A

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

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

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
            19. fabs-subN/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
          4. Applied rewrites57.8%

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
          5. Taylor expanded in maxCos around inf

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

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

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

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

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

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\color{blue}{\frac{ux}{maxCos}} - ux\right) - \frac{1}{maxCos}\right) \cdot maxCos\right)} \]
            7. lower-/.f3258.0

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\frac{ux}{maxCos} - ux\right) - \color{blue}{\frac{1}{maxCos}}\right) \cdot maxCos\right)} \]
          7. Applied rewrites58.0%

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)}} \]
          9. Step-by-step derivation
            1. metadata-evalN/A

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - \color{blue}{\left(\mathsf{neg}\left(2\right)\right)} \cdot \left(1 - maxCos\right)\right)} \]
            2. fp-cancel-sign-sub-invN/A

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

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

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

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

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \left(1 - maxCos\right) + \color{blue}{\left(\mathsf{neg}\left(ux\right)\right)} \cdot {\left(1 - maxCos\right)}^{2}\right) \cdot ux} \]
            8. fp-cancel-sub-signN/A

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

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

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

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

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

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

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

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - \color{blue}{{\left(1 - maxCos\right)}^{2}} \cdot ux\right) \cdot ux} \]
            16. lower--.f3299.0

              \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2} \cdot ux\right) \cdot ux} \]
          10. Applied rewrites99.0%

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

            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(2 + -1 \cdot \left(maxCos \cdot \left(2 + -2 \cdot ux\right)\right)\right) - ux\right) \cdot ux} \]
          12. Step-by-step derivation
            1. Applied rewrites91.8%

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

            Alternative 6: 96.4% accurate, 1.1× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;uy \leq 0.00011700000322889537:\\ \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux}\\ \end{array} \end{array} \]
            (FPCore (ux uy maxCos)
             :precision binary32
             (if (<= uy 0.00011700000322889537)
               (sqrt (* (- (* (- 1.0 maxCos) 2.0) (* (pow (- 1.0 maxCos) 2.0) ux)) ux))
               (* (cos (* (* uy 2.0) (PI))) (sqrt (* (- 2.0 ux) ux)))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            \mathbf{if}\;uy \leq 0.00011700000322889537:\\
            \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux}\\
            
            \mathbf{else}:\\
            \;\;\;\;\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux}\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if uy < 1.17000003e-4

              1. Initial program 58.8%

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                2. unpow1N/A

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                4. sqrt-pow1N/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                5. pow2N/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                6. rem-sqrt-square-revN/A

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

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

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                10. fabs-subN/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                11. unpow1N/A

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                13. sqrt-pow1N/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                14. pow2N/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                15. rem-sqrt-square-revN/A

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

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

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                19. fabs-subN/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
              4. Applied rewrites59.0%

                \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
              5. Taylor expanded in ux around inf

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

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

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

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

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

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

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

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

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2}\right) \cdot {ux}^{2}} \]
                10. unpow2N/A

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
                11. lower-*.f3299.4

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
              7. Applied rewrites99.4%

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

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

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

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

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

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

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

                  \[\leadsto \sqrt{1 - {\left(ux - \left(\color{blue}{ux \cdot maxCos} + 1\right)\right)}^{2}} \]
                7. lower-fma.f3255.8

                  \[\leadsto \sqrt{1 - {\left(ux - \color{blue}{\mathsf{fma}\left(ux, maxCos, 1\right)}\right)}^{2}} \]
              10. Applied rewrites54.9%

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

                \[\leadsto \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)} \]
              12. Step-by-step derivation
                1. Applied rewrites99.4%

                  \[\leadsto \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux} \]

                if 1.17000003e-4 < uy

                1. Initial program 55.8%

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                  2. unpow1N/A

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  4. sqrt-pow1N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  5. pow2N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  6. rem-sqrt-square-revN/A

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  10. fabs-subN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  11. unpow1N/A

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                  13. sqrt-pow1N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                  14. pow2N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                  15. rem-sqrt-square-revN/A

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                  19. fabs-subN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
                4. Applied rewrites55.8%

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
                5. Taylor expanded in maxCos around inf

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

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\color{blue}{\frac{ux}{maxCos}} - ux\right) - \frac{1}{maxCos}\right) \cdot maxCos\right)} \]
                  7. lower-/.f3254.7

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\frac{ux}{maxCos} - ux\right) - \color{blue}{\frac{1}{maxCos}}\right) \cdot maxCos\right)} \]
                7. Applied rewrites54.7%

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)}} \]
                9. Step-by-step derivation
                  1. metadata-evalN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - \color{blue}{\left(\mathsf{neg}\left(2\right)\right)} \cdot \left(1 - maxCos\right)\right)} \]
                  2. fp-cancel-sign-sub-invN/A

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \left(1 - maxCos\right) + \color{blue}{\left(\mathsf{neg}\left(ux\right)\right)} \cdot {\left(1 - maxCos\right)}^{2}\right) \cdot ux} \]
                  8. fp-cancel-sub-signN/A

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

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

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - \color{blue}{{\left(1 - maxCos\right)}^{2}} \cdot ux\right) \cdot ux} \]
                  16. lower--.f3298.0

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2} \cdot ux\right) \cdot ux} \]
                10. Applied rewrites98.0%

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux} \]
                12. Step-by-step derivation
                  1. Applied rewrites92.9%

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux} \]
                13. Recombined 2 regimes into one program.
                14. Final simplification96.9%

                  \[\leadsto \begin{array}{l} \mathbf{if}\;uy \leq 0.00011700000322889537:\\ \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\left(1 - maxCos\right)}^{2} \cdot ux\right) \cdot ux}\\ \mathbf{else}:\\ \;\;\;\;\cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux}\\ \end{array} \]
                15. Add Preprocessing

                Alternative 7: 92.6% accurate, 1.2× speedup?

                \[\begin{array}{l} \\ \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux} \end{array} \]
                (FPCore (ux uy maxCos)
                 :precision binary32
                 (* (cos (* (* uy 2.0) (PI))) (sqrt (* (- 2.0 ux) ux))))
                \begin{array}{l}
                
                \\
                \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux}
                \end{array}
                
                Derivation
                1. Initial program 57.7%

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                  2. unpow1N/A

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  4. sqrt-pow1N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  5. pow2N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  6. rem-sqrt-square-revN/A

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  10. fabs-subN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                  11. unpow1N/A

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                  13. sqrt-pow1N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                  14. pow2N/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                  15. rem-sqrt-square-revN/A

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                  19. fabs-subN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
                4. Applied rewrites57.8%

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
                5. Taylor expanded in maxCos around inf

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

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\color{blue}{\frac{ux}{maxCos}} - ux\right) - \frac{1}{maxCos}\right) \cdot maxCos\right)} \]
                  7. lower-/.f3258.0

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(\left(\frac{ux}{maxCos} - ux\right) - \color{blue}{\frac{1}{maxCos}}\right) \cdot maxCos\right)} \]
                7. Applied rewrites58.0%

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\color{blue}{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - -2 \cdot \left(1 - maxCos\right)\right)}} \]
                9. Step-by-step derivation
                  1. metadata-evalN/A

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{ux \cdot \left(-1 \cdot \left(ux \cdot {\left(1 - maxCos\right)}^{2}\right) - \color{blue}{\left(\mathsf{neg}\left(2\right)\right)} \cdot \left(1 - maxCos\right)\right)} \]
                  2. fp-cancel-sign-sub-invN/A

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 \cdot \left(1 - maxCos\right) + \color{blue}{\left(\mathsf{neg}\left(ux\right)\right)} \cdot {\left(1 - maxCos\right)}^{2}\right) \cdot ux} \]
                  8. fp-cancel-sub-signN/A

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

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

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

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

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

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

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

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - \color{blue}{{\left(1 - maxCos\right)}^{2}} \cdot ux\right) \cdot ux} \]
                  16. lower--.f3299.0

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\left(1 - maxCos\right) \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2} \cdot ux\right) \cdot ux} \]
                10. Applied rewrites99.0%

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

                  \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux} \]
                12. Step-by-step derivation
                  1. Applied rewrites92.7%

                    \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(2 - ux\right) \cdot ux} \]
                  2. Add Preprocessing

                  Alternative 8: 77.9% accurate, 2.1× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - ux\right) + ux \cdot maxCos\\ \mathbf{if}\;ux \leq 7.100000220816582 \cdot 10^{-5}:\\ \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2}\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}\\ \end{array} \end{array} \]
                  (FPCore (ux uy maxCos)
                   :precision binary32
                   (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos))))
                     (if (<= ux 7.100000220816582e-5)
                       (sqrt (* (* (- 1.0 maxCos) ux) 2.0))
                       (*
                        (+ 1.0 (* (* (* (* uy uy) -2.0) (PI)) (PI)))
                        (sqrt (- 1.0 (* t_0 t_0)))))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
                  \mathbf{if}\;ux \leq 7.100000220816582 \cdot 10^{-5}:\\
                  \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2}\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if ux < 7.10000022e-5

                    1. Initial program 36.2%

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                      2. unpow1N/A

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      4. sqrt-pow1N/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      5. pow2N/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      6. rem-sqrt-square-revN/A

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

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

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      10. fabs-subN/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      11. unpow1N/A

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                      13. sqrt-pow1N/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                      14. pow2N/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                      15. rem-sqrt-square-revN/A

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

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

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                      19. fabs-subN/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
                    4. Applied rewrites36.2%

                      \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
                    5. Taylor expanded in ux around inf

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

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

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

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

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

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

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

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

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

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2}\right) \cdot {ux}^{2}} \]
                      10. unpow2N/A

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
                      11. lower-*.f3298.6

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
                    7. Applied rewrites98.6%

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

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

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

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

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

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

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

                        \[\leadsto \sqrt{1 - {\left(ux - \left(\color{blue}{ux \cdot maxCos} + 1\right)\right)}^{2}} \]
                      7. lower-fma.f3232.7

                        \[\leadsto \sqrt{1 - {\left(ux - \color{blue}{\mathsf{fma}\left(ux, maxCos, 1\right)}\right)}^{2}} \]
                    10. Applied rewrites31.1%

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

                      \[\leadsto \sqrt{2 \cdot \left(ux \cdot \left(1 - maxCos\right)\right)} \]
                    12. Step-by-step derivation
                      1. Applied rewrites76.5%

                        \[\leadsto \sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2} \]

                      if 7.10000022e-5 < ux

                      1. Initial program 87.1%

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

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

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

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

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

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

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

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

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

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

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

                          \[\leadsto \mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), 1\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        11. lower-PI.f3275.7

                          \[\leadsto \mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, 1\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      5. Applied rewrites75.3%

                        \[\leadsto \color{blue}{\mathsf{fma}\left(\left(uy \cdot uy\right) \cdot -2, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), 1\right)} \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      6. Step-by-step derivation
                        1. Applied rewrites81.5%

                          \[\leadsto \left(1 - \color{blue}{\left(-\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                      7. Recombined 2 regimes into one program.
                      8. Final simplification78.6%

                        \[\leadsto \begin{array}{l} \mathbf{if}\;ux \leq 7.100000220816582 \cdot 10^{-5}:\\ \;\;\;\;\sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2}\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \left(\left(\left(uy \cdot uy\right) \cdot -2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}\\ \end{array} \]
                      9. Add Preprocessing

                      Alternative 9: 64.9% accurate, 6.5× speedup?

                      \[\begin{array}{l} \\ \sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2} \end{array} \]
                      (FPCore (ux uy maxCos)
                       :precision binary32
                       (sqrt (* (* (- 1.0 maxCos) ux) 2.0)))
                      float code(float ux, float uy, float maxCos) {
                      	return sqrtf((((1.0f - maxCos) * ux) * 2.0f));
                      }
                      
                      real(4) function code(ux, uy, maxcos)
                          real(4), intent (in) :: ux
                          real(4), intent (in) :: uy
                          real(4), intent (in) :: maxcos
                          code = sqrt((((1.0e0 - maxcos) * ux) * 2.0e0))
                      end function
                      
                      function code(ux, uy, maxCos)
                      	return sqrt(Float32(Float32(Float32(Float32(1.0) - maxCos) * ux) * Float32(2.0)))
                      end
                      
                      function tmp = code(ux, uy, maxCos)
                      	tmp = sqrt((((single(1.0) - maxCos) * ux) * single(2.0)));
                      end
                      
                      \begin{array}{l}
                      
                      \\
                      \sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2}
                      \end{array}
                      
                      Derivation
                      1. Initial program 57.7%

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                        2. unpow1N/A

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        4. sqrt-pow1N/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        5. pow2N/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        6. rem-sqrt-square-revN/A

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

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

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        10. fabs-subN/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                        11. unpow1N/A

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                        13. sqrt-pow1N/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                        14. pow2N/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                        15. rem-sqrt-square-revN/A

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

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

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                        19. fabs-subN/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
                      4. Applied rewrites57.8%

                        \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
                      5. Taylor expanded in ux around inf

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

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

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

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

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

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

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

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

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

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2}\right) \cdot {ux}^{2}} \]
                        10. unpow2N/A

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
                        11. lower-*.f3298.8

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

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

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

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

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

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

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

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

                          \[\leadsto \sqrt{1 - {\left(ux - \left(\color{blue}{ux \cdot maxCos} + 1\right)\right)}^{2}} \]
                        7. lower-fma.f3248.6

                          \[\leadsto \sqrt{1 - {\left(ux - \color{blue}{\mathsf{fma}\left(ux, maxCos, 1\right)}\right)}^{2}} \]
                      10. Applied rewrites43.4%

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

                        \[\leadsto \sqrt{2 \cdot \left(ux \cdot \left(1 - maxCos\right)\right)} \]
                      12. Step-by-step derivation
                        1. Applied rewrites65.5%

                          \[\leadsto \sqrt{\left(\left(1 - maxCos\right) \cdot ux\right) \cdot 2} \]
                        2. Final simplification65.5%

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

                        Alternative 10: -0.0% accurate, 7.4× speedup?

                        \[\begin{array}{l} \\ \left(\sqrt{-1} \cdot ux\right) \cdot maxCos \end{array} \]
                        (FPCore (ux uy maxCos) :precision binary32 (* (* (sqrt -1.0) ux) maxCos))
                        float code(float ux, float uy, float maxCos) {
                        	return (sqrtf(-1.0f) * ux) * maxCos;
                        }
                        
                        real(4) function code(ux, uy, maxcos)
                            real(4), intent (in) :: ux
                            real(4), intent (in) :: uy
                            real(4), intent (in) :: maxcos
                            code = (sqrt((-1.0e0)) * ux) * maxcos
                        end function
                        
                        function code(ux, uy, maxCos)
                        	return Float32(Float32(sqrt(Float32(-1.0)) * ux) * maxCos)
                        end
                        
                        function tmp = code(ux, uy, maxCos)
                        	tmp = (sqrt(single(-1.0)) * ux) * maxCos;
                        end
                        
                        \begin{array}{l}
                        
                        \\
                        \left(\sqrt{-1} \cdot ux\right) \cdot maxCos
                        \end{array}
                        
                        Derivation
                        1. Initial program 57.7%

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \]
                          2. unpow1N/A

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          4. sqrt-pow1N/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          5. pow2N/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          6. rem-sqrt-square-revN/A

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

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

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right| \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          10. fabs-subN/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|} \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)} \]
                          11. unpow1N/A

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot {\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{\color{blue}{\left(\frac{2}{2}\right)}}} \]
                          13. sqrt-pow1N/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\sqrt{{\left(\left(1 - ux\right) + ux \cdot maxCos\right)}^{2}}}} \]
                          14. pow2N/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \sqrt{\color{blue}{\left(\left(1 - ux\right) + ux \cdot maxCos\right) \cdot \left(\left(1 - ux\right) + ux \cdot maxCos\right)}}} \]
                          15. rem-sqrt-square-revN/A

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

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

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \left|\color{blue}{1 - \left(ux - ux \cdot maxCos\right)}\right|} \]
                          19. fabs-subN/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \left|\left(ux - ux \cdot maxCos\right) - 1\right| \cdot \color{blue}{\left|\left(ux - ux \cdot maxCos\right) - 1\right|}} \]
                        4. Applied rewrites57.8%

                          \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{1 - \color{blue}{\left(\left(ux - maxCos \cdot ux\right) - 1\right) \cdot \left(\left(ux - maxCos \cdot ux\right) - 1\right)}} \]
                        5. Taylor expanded in ux around inf

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

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

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

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

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

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

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

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

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

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\color{blue}{\left(1 - maxCos\right)}}^{2}\right) \cdot {ux}^{2}} \]
                          10. unpow2N/A

                            \[\leadsto \cos \left(\left(uy \cdot 2\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \sqrt{\left(\frac{1 - maxCos}{ux} \cdot 2 - {\left(1 - maxCos\right)}^{2}\right) \cdot \color{blue}{\left(ux \cdot ux\right)}} \]
                          11. lower-*.f3298.8

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

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

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

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

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

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

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

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

                            \[\leadsto \sqrt{1 - {\left(ux - \left(\color{blue}{ux \cdot maxCos} + 1\right)\right)}^{2}} \]
                          7. lower-fma.f3248.6

                            \[\leadsto \sqrt{1 - {\left(ux - \color{blue}{\mathsf{fma}\left(ux, maxCos, 1\right)}\right)}^{2}} \]
                        10. Applied rewrites45.9%

                          \[\leadsto \color{blue}{\sqrt{1 - {\left(ux - \mathsf{fma}\left(ux, maxCos, 1\right)\right)}^{2}}} \]
                        11. Taylor expanded in maxCos around inf

                          \[\leadsto maxCos \cdot \color{blue}{\left(ux \cdot \sqrt{-1}\right)} \]
                        12. Step-by-step derivation
                          1. Applied rewrites-0.0%

                            \[\leadsto \left(\sqrt{-1} \cdot ux\right) \cdot \color{blue}{maxCos} \]
                          2. Add Preprocessing

                          Reproduce

                          ?
                          herbie shell --seed 2024343 
                          (FPCore (ux uy maxCos)
                            :name "UniformSampleCone, x"
                            :precision binary32
                            :pre (and (and (and (<= 2.328306437e-10 ux) (<= ux 1.0)) (and (<= 2.328306437e-10 uy) (<= uy 1.0))) (and (<= 0.0 maxCos) (<= maxCos 1.0)))
                            (* (cos (* (* uy 2.0) (PI))) (sqrt (- 1.0 (* (+ (- 1.0 ux) (* ux maxCos)) (+ (- 1.0 ux) (* ux maxCos)))))))