Trowbridge-Reitz Sample, sample surface normal, cosTheta

Percentage Accurate: 99.4% → 99.9%
Time: 17.1s
Alternatives: 9
Speedup: 1.7×

Specification

?
\[\left(\left(\left(2.328306437 \cdot 10^{-10} \leq u0 \land u0 \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 0.5\right)\right) \land \left(0.0001 \leq alphax \land alphax \leq 1\right)\right) \land \left(0.0001 \leq alphay \land alphay \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)\\ t_1 := \sin t\_0\\ t_2 := \cos t\_0\\ \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0
         (atan
          (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI)))))))
        (t_1 (sin t_0))
        (t_2 (cos t_0)))
   (/
    1.0
    (sqrt
     (+
      1.0
      (/
       (*
        (/
         1.0
         (+
          (/ (* t_2 t_2) (* alphax alphax))
          (/ (* t_1 t_1) (* alphay alphay))))
        u0)
       (- 1.0 u0)))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)\\
t_1 := \sin t\_0\\
t_2 := \cos t\_0\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\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 9 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: 99.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)\\ t_1 := \sin t\_0\\ t_2 := \cos t\_0\\ \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0
         (atan
          (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI)))))))
        (t_1 (sin t_0))
        (t_2 (cos t_0)))
   (/
    1.0
    (sqrt
     (+
      1.0
      (/
       (*
        (/
         1.0
         (+
          (/ (* t_2 t_2) (* alphax alphax))
          (/ (* t_1 t_1) (* alphay alphay))))
        u0)
       (- 1.0 u0)))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)\\
t_1 := \sin t\_0\\
t_2 := \cos t\_0\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\end{array}
\end{array}

Alternative 1: 99.9% accurate, 1.5× speedup?

\[\begin{array}{l} \\ {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (pow
  (-
   (/
    (/
     u0
     (+
      (pow
       (/
        (sin
         (atan (* (tan (fma 0.5 (PI) (* u1 (* (PI) 2.0)))) (/ alphay alphax))))
        alphay)
       2.0)
      (pow
       (/
        1.0
        (*
         (sqrt
          (+
           (pow (* (/ alphay alphax) (tan (* (PI) (fma 2.0 u1 0.5)))) 2.0)
           1.0))
         alphax))
       2.0)))
    (- 1.0 u0))
   -1.0)
  -0.5))
\begin{array}{l}

\\
{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites100.0%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Applied rewrites100.0%

    \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\color{blue}{\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  5. Add Preprocessing

Alternative 2: 99.9% accurate, 1.7× speedup?

\[\begin{array}{l} \\ {\left(\frac{\frac{u0}{\frac{-0.5 - -0.5 \cdot \cos \left(-2 \cdot \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}{\left(-alphay\right) \cdot alphay} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (pow
  (-
   (/
    (/
     u0
     (+
      (/
       (-
        -0.5
        (*
         -0.5
         (cos
          (*
           -2.0
           (atan (* (tan (* (PI) (fma u1 2.0 0.5))) (/ alphay alphax)))))))
       (* (- alphay) alphay))
      (pow
       (/
        1.0
        (*
         (sqrt
          (+
           (pow (* (/ alphay alphax) (tan (* (PI) (fma 2.0 u1 0.5)))) 2.0)
           1.0))
         alphax))
       2.0)))
    (- 1.0 u0))
   -1.0)
  -0.5))
\begin{array}{l}

\\
{\left(\frac{\frac{u0}{\frac{-0.5 - -0.5 \cdot \cos \left(-2 \cdot \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}{\left(-alphay\right) \cdot alphay} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites100.0%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Applied rewrites100.0%

    \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\color{blue}{\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  5. Applied rewrites99.8%

    \[\leadsto {\left(\frac{\frac{u0}{\color{blue}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right)} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  6. Applied rewrites99.8%

    \[\leadsto {\left(\frac{\frac{u0}{\color{blue}{\frac{-0.5 - -0.5 \cdot \cos \left(-2 \cdot \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}{\left(-alphay\right) \cdot alphay}} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  7. Add Preprocessing

Alternative 3: 99.0% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\ {\left(\frac{\frac{u0}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right) + {\left(\frac{\cos t\_0}{alphay \cdot \sin t\_0}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0 (* (PI) (fma 2.0 u1 0.5))))
   (pow
    (-
     (/
      (/
       u0
       (+
        (-
         (/ 0.5 (* alphay alphay))
         (/
          (*
           (cos
            (*
             (atan (* (tan (* (fma 2.0 u1 0.5) (PI))) (/ alphay alphax)))
             2.0))
           0.5)
          (* alphay alphay)))
        (pow (/ (cos t_0) (* alphay (sin t_0))) 2.0)))
      (- 1.0 u0))
     -1.0)
    -0.5)))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
{\left(\frac{\frac{u0}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right) + {\left(\frac{\cos t\_0}{alphay \cdot \sin t\_0}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites100.0%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Applied rewrites100.0%

    \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\color{blue}{\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  5. Applied rewrites99.8%

    \[\leadsto {\left(\frac{\frac{u0}{\color{blue}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right)} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  6. Taylor expanded in alphax around 0

    \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\color{blue}{\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
  7. Step-by-step derivation
    1. lower-/.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\color{blue}{\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    2. distribute-rgt-inN/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \left(2 \cdot u1\right) \cdot \mathsf{PI}\left(\right)\right)}}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    3. associate-*r*N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \color{blue}{2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)}\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    4. lower-cos.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\color{blue}{\cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    5. associate-*r*N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \color{blue}{\left(2 \cdot u1\right) \cdot \mathsf{PI}\left(\right)}\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    6. distribute-rgt-inN/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    7. lower-*.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    8. lower-PI.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    9. +-commutativeN/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\left(2 \cdot u1 + \frac{1}{2}\right)}\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    10. lower-fma.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(2, u1, \frac{1}{2}\right)}\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    11. lower-*.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, \frac{1}{2}\right)\right)}{\color{blue}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    12. distribute-rgt-inN/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, \frac{1}{2}\right)\right)}{alphay \cdot \sin \color{blue}{\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \left(2 \cdot u1\right) \cdot \mathsf{PI}\left(\right)\right)}}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    13. associate-*r*N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, \frac{1}{2}\right)\right)}{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + \color{blue}{2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)}\right)}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
    14. lower-sin.f32N/A

      \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{\frac{1}{2}}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot \frac{1}{2}}{alphay \cdot alphay}\right) + {\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, \frac{1}{2}\right)\right)}{alphay \cdot \color{blue}{\sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
  8. Applied rewrites98.7%

    \[\leadsto {\left(\frac{\frac{u0}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right) + {\color{blue}{\left(\frac{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  9. Add Preprocessing

Alternative 4: 98.0% accurate, 2.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\ {\left(\mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)\right)}, \frac{u0}{1 - u0}, 1\right)\right)}^{-0.5} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0 (* (PI) (fma 2.0 u1 0.5))))
   (pow
    (fma
     (/
      (* alphay alphay)
      (-
       0.5
       (*
        0.5
        (cos (* 2.0 (atan (* (/ alphay alphax) (/ (sin t_0) (cos t_0)))))))))
     (/ u0 (- 1.0 u0))
     1.0)
    -0.5)))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
{\left(\mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)\right)}, \frac{u0}{1 - u0}, 1\right)\right)}^{-0.5}
\end{array}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites100.0%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Applied rewrites100.0%

    \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\color{blue}{\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  5. Applied rewrites99.8%

    \[\leadsto {\left(\frac{\frac{u0}{\color{blue}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right)} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  6. Taylor expanded in alphay around 0

    \[\leadsto {\color{blue}{\left(1 + \frac{{alphay}^{2} \cdot u0}{\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphax \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)\right)\right) \cdot \left(1 - u0\right)}\right)}}^{\frac{-1}{2}} \]
  7. Applied rewrites98.4%

    \[\leadsto {\color{blue}{\left(\mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}\right)\right)}, \frac{u0}{1 - u0}, 1\right)\right)}}^{-0.5} \]
  8. Add Preprocessing

Alternative 5: 98.0% accurate, 2.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\ \sqrt{\frac{1}{\frac{\frac{u0}{1 - u0}}{\frac{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)\right)}{alphay \cdot alphay}} + 1}} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0 (* (PI) (fma 2.0 u1 0.5))))
   (sqrt
    (/
     1.0
     (+
      (/
       (/ u0 (- 1.0 u0))
       (/
        (-
         0.5
         (*
          0.5
          (cos (* 2.0 (atan (* (/ alphay alphax) (/ (sin t_0) (cos t_0))))))))
        (* alphay alphay)))
      1.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
\sqrt{\frac{1}{\frac{\frac{u0}{1 - u0}}{\frac{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)\right)}{alphay \cdot alphay}} + 1}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites100.0%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Applied rewrites100.0%

    \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\color{blue}{\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  5. Applied rewrites99.8%

    \[\leadsto {\left(\frac{\frac{u0}{\color{blue}{\left(\frac{0.5}{alphay \cdot alphay} - \frac{\cos \left(\tan^{-1} \left(\tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot 2\right) \cdot 0.5}{alphay \cdot alphay}\right)} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\right)}^{2} + 1} \cdot alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \]
  6. Taylor expanded in alphax around inf

    \[\leadsto \color{blue}{\sqrt{\frac{1}{1 + \frac{u0}{\left(1 - u0\right) \cdot \left(\frac{1}{2} \cdot \frac{1}{{alphay}^{2}} - \frac{1}{2} \cdot \frac{\cos \left(2 \cdot \tan^{-1} \left(\frac{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphax \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)\right)}{{alphay}^{2}}\right)}}}} \]
  7. Applied rewrites98.4%

    \[\leadsto \color{blue}{\sqrt{\frac{1}{\frac{\frac{u0}{1 - u0}}{\frac{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}\right)\right)}{alphay \cdot alphay}} + 1}}} \]
  8. Add Preprocessing

Alternative 6: 97.0% accurate, 2.9× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-2, u1, -0.5\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (fma
  (*
   (/
    (* alphay alphay)
    (-
     0.5
     (*
      0.5
      (cos
       (*
        2.0
        (atan
         (*
          (/ (sin (* (PI) 0.5)) (cos (* (PI) (fma -2.0 u1 -0.5))))
          (/ alphay alphax))))))))
   (/ u0 (- 1.0 u0)))
  -0.5
  1.0))
\begin{array}{l}

\\
\mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-2, u1, -0.5\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Taylor expanded in alphay around 0

    \[\leadsto \color{blue}{1 + \frac{-1}{2} \cdot \frac{{alphay}^{2} \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2} \cdot \left(1 - u0\right)}} \]
  4. Applied rewrites96.4%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u1, 2, \mathsf{PI}\left(\right) \cdot 0.5\right)\right)}{\cos \left(\mathsf{fma}\left(-2, \mathsf{PI}\left(\right) \cdot u1, \mathsf{PI}\left(\right) \cdot -0.5\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}, -0.5, 1\right)} \]
  5. Taylor expanded in u1 around 0

    \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(\mathsf{fma}\left(-2, \mathsf{PI}\left(\right) \cdot u1, \mathsf{PI}\left(\right) \cdot \frac{-1}{2}\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}, \frac{-1}{2}, 1\right) \]
  6. Step-by-step derivation
    1. Applied rewrites96.8%

      \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(\mathsf{fma}\left(-2, \mathsf{PI}\left(\right) \cdot u1, \mathsf{PI}\left(\right) \cdot -0.5\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
    2. Step-by-step derivation
      1. Applied rewrites96.8%

        \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-2, u1, -0.5\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
      2. Add Preprocessing

      Alternative 7: 96.4% accurate, 3.1× speedup?

      \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right)}^{2}}, \frac{u0}{1 - u0} \cdot -0.5, 1\right) \end{array} \]
      (FPCore (u0 u1 alphax alphay)
       :precision binary32
       (fma
        (/
         (* alphay alphay)
         (pow (sin (atan (* (tan (* (PI) 0.5)) (/ alphay alphax)))) 2.0))
        (* (/ u0 (- 1.0 u0)) -0.5)
        1.0))
      \begin{array}{l}
      
      \\
      \mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right)}^{2}}, \frac{u0}{1 - u0} \cdot -0.5, 1\right)
      \end{array}
      
      Derivation
      1. Initial program 99.4%

        \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
      2. Add Preprocessing
      3. Taylor expanded in alphay around 0

        \[\leadsto \color{blue}{1 + \frac{-1}{2} \cdot \frac{{alphay}^{2} \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2} \cdot \left(1 - u0\right)}} \]
      4. Applied rewrites96.4%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u1, 2, \mathsf{PI}\left(\right) \cdot 0.5\right)\right)}{\cos \left(\mathsf{fma}\left(-2, \mathsf{PI}\left(\right) \cdot u1, \mathsf{PI}\left(\right) \cdot -0.5\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}, -0.5, 1\right)} \]
      5. Step-by-step derivation
        1. Applied rewrites96.4%

          \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{\cos \left(\mathsf{fma}\left(-2, u1 \cdot \mathsf{PI}\left(\right), -0.5 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
        2. Taylor expanded in u1 around 0

          \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(\frac{-1}{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, \frac{-1}{2}, 1\right) \]
        3. Step-by-step derivation
          1. Applied rewrites95.9%

            \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(-0.5 \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
          2. Applied rewrites95.9%

            \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right)}^{2}}, \color{blue}{\frac{u0}{1 - u0} \cdot -0.5}, 1\right) \]
          3. Add Preprocessing

          Alternative 8: 96.4% accurate, 3.8× speedup?

          \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{alphay \cdot alphay}{\mathsf{fma}\left(\cos \left(\tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right) \cdot -2\right), -0.5, 0.5\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \end{array} \]
          (FPCore (u0 u1 alphax alphay)
           :precision binary32
           (fma
            (*
             (/
              (* alphay alphay)
              (fma
               (cos (* (atan (* (tan (* (PI) 0.5)) (/ alphay alphax))) -2.0))
               -0.5
               0.5))
             (/ u0 (- 1.0 u0)))
            -0.5
            1.0))
          \begin{array}{l}
          
          \\
          \mathsf{fma}\left(\frac{alphay \cdot alphay}{\mathsf{fma}\left(\cos \left(\tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right) \cdot -2\right), -0.5, 0.5\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right)
          \end{array}
          
          Derivation
          1. Initial program 99.4%

            \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
          2. Add Preprocessing
          3. Taylor expanded in alphay around 0

            \[\leadsto \color{blue}{1 + \frac{-1}{2} \cdot \frac{{alphay}^{2} \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2} \cdot \left(1 - u0\right)}} \]
          4. Applied rewrites96.4%

            \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u1, 2, \mathsf{PI}\left(\right) \cdot 0.5\right)\right)}{\cos \left(\mathsf{fma}\left(-2, \mathsf{PI}\left(\right) \cdot u1, \mathsf{PI}\left(\right) \cdot -0.5\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}, -0.5, 1\right)} \]
          5. Step-by-step derivation
            1. Applied rewrites96.4%

              \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{\cos \left(\mathsf{fma}\left(-2, u1 \cdot \mathsf{PI}\left(\right), -0.5 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
            2. Taylor expanded in u1 around 0

              \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(\frac{-1}{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, \frac{-1}{2}, 1\right) \]
            3. Step-by-step derivation
              1. Applied rewrites95.9%

                \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{\sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(-0.5 \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
              2. Step-by-step derivation
                1. Applied rewrites95.9%

                  \[\leadsto \mathsf{fma}\left(\frac{alphay \cdot alphay}{\mathsf{fma}\left(\cos \left(\tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right) \cdot -2\right), -0.5, 0.5\right)} \cdot \frac{u0}{1 - u0}, -0.5, 1\right) \]
                2. Add Preprocessing

                Alternative 9: 91.3% accurate, 1436.0× speedup?

                \[\begin{array}{l} \\ 1 \end{array} \]
                (FPCore (u0 u1 alphax alphay) :precision binary32 1.0)
                float code(float u0, float u1, float alphax, float alphay) {
                	return 1.0f;
                }
                
                module fmin_fmax_functions
                    implicit none
                    private
                    public fmax
                    public fmin
                
                    interface fmax
                        module procedure fmax88
                        module procedure fmax44
                        module procedure fmax84
                        module procedure fmax48
                    end interface
                    interface fmin
                        module procedure fmin88
                        module procedure fmin44
                        module procedure fmin84
                        module procedure fmin48
                    end interface
                contains
                    real(8) function fmax88(x, y) result (res)
                        real(8), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                    end function
                    real(4) function fmax44(x, y) result (res)
                        real(4), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
                    end function
                    real(8) function fmax84(x, y) result(res)
                        real(8), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
                    end function
                    real(8) function fmax48(x, y) result(res)
                        real(4), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
                    end function
                    real(8) function fmin88(x, y) result (res)
                        real(8), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                    end function
                    real(4) function fmin44(x, y) result (res)
                        real(4), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
                    end function
                    real(8) function fmin84(x, y) result(res)
                        real(8), intent (in) :: x
                        real(4), intent (in) :: y
                        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
                    end function
                    real(8) function fmin48(x, y) result(res)
                        real(4), intent (in) :: x
                        real(8), intent (in) :: y
                        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
                    end function
                end module
                
                real(4) function code(u0, u1, alphax, alphay)
                use fmin_fmax_functions
                    real(4), intent (in) :: u0
                    real(4), intent (in) :: u1
                    real(4), intent (in) :: alphax
                    real(4), intent (in) :: alphay
                    code = 1.0e0
                end function
                
                function code(u0, u1, alphax, alphay)
                	return Float32(1.0)
                end
                
                function tmp = code(u0, u1, alphax, alphay)
                	tmp = single(1.0);
                end
                
                \begin{array}{l}
                
                \\
                1
                \end{array}
                
                Derivation
                1. Initial program 99.4%

                  \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
                2. Add Preprocessing
                3. Taylor expanded in u0 around 0

                  \[\leadsto \color{blue}{1} \]
                4. Step-by-step derivation
                  1. Applied rewrites91.4%

                    \[\leadsto \color{blue}{1} \]
                  2. Add Preprocessing

                  Reproduce

                  ?
                  herbie shell --seed 2025017 
                  (FPCore (u0 u1 alphax alphay)
                    :name "Trowbridge-Reitz Sample, sample surface normal, cosTheta"
                    :precision binary32
                    :pre (and (and (and (and (<= 2.328306437e-10 u0) (<= u0 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 0.5))) (and (<= 0.0001 alphax) (<= alphax 1.0))) (and (<= 0.0001 alphay) (<= alphay 1.0)))
                    (/ 1.0 (sqrt (+ 1.0 (/ (* (/ 1.0 (+ (/ (* (cos (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI))))))) (cos (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI)))))))) (* alphax alphax)) (/ (* (sin (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI))))))) (sin (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 (PI)) u1) (* 0.5 (PI)))))))) (* alphay alphay)))) u0) (- 1.0 u0))))))