Trowbridge-Reitz Sample, sample surface normal, cosTheta

Percentage Accurate: 99.3% → 100.0%
Time: 16.9s
Alternatives: 8
Speedup: 1.6×

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 8 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: 99.3% 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: 100.0% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)\\ e^{\mathsf{log1p}\left(\frac{u0}{\left({\left(\frac{\sin t\_0}{alphay}\right)}^{2} + {\left(\frac{\cos t\_0}{alphax}\right)}^{2}\right) \cdot \left(1 - u0\right)}\right) \cdot -0.5} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0 (atan (* (tan (* (PI) (fma u1 2.0 0.5))) (/ alphay alphax)))))
   (exp
    (*
     (log1p
      (/
       u0
       (*
        (+ (pow (/ (sin t_0) alphay) 2.0) (pow (/ (cos t_0) alphax) 2.0))
        (- 1.0 u0))))
     -0.5))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)\\
e^{\mathsf{log1p}\left(\frac{u0}{\left({\left(\frac{\sin t\_0}{alphay}\right)}^{2} + {\left(\frac{\cos t\_0}{alphax}\right)}^{2}\right) \cdot \left(1 - u0\right)}\right) \cdot -0.5}
\end{array}
\end{array}
Derivation
  1. Initial program 99.2%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites99.9%

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

    \[\leadsto \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{u0}{{\left(\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax}\right)}^{2} + {\left(\frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay}\right)}^{2}}}{1 - u0}\right) \cdot -0.5}} \]
  5. Applied rewrites100.0%

    \[\leadsto e^{\mathsf{log1p}\left(\color{blue}{\frac{u0}{\left({\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u1, 2, 0.5\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}\right) \cdot \left(1 - u0\right)}}\right) \cdot -0.5} \]
  6. Add Preprocessing

Alternative 2: 99.9% accurate, 1.5× speedup?

\[\begin{array}{l} \\ {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}}}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5} \end{array} \]
(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 (* (fma 2.0 u1 0.5) (PI)))) 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{\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}}}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.2%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites99.9%

    \[\leadsto \color{blue}{{\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
  4. Step-by-step derivation
    1. lift-cos.f32N/A

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

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

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

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

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

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

      \[\leadsto {\left(\frac{\frac{u0}{{\left(\frac{\sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)}{alphay}\right)}^{2} + {\left(\frac{\frac{1}{\sqrt{\color{blue}{\left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot \left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right) + 1}}}}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{\frac{-1}{2}} \]
  5. Applied rewrites99.9%

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

Alternative 3: 99.4% accurate, 1.6× speedup?

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

\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(u1, 2, 0.5\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\end{array}
Derivation
  1. Initial program 99.2%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-+.f32N/A

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\color{blue}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax}} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  4. Applied rewrites99.3%

    \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\color{blue}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\cos \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}}} \cdot u0}{1 - u0}}} \]
  5. Step-by-step derivation
    1. lift-cos.f32N/A

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

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

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

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

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

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{\color{blue}{\left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right) \cdot \left(\tan \left(\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right) + 1}}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  6. Applied rewrites99.3%

    \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right), u1 \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\color{blue}{\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \color{blue}{\left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
    11. lift-*.f3299.3

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \color{blue}{\left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
    12. lift-fma.f32N/A

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\left(\color{blue}{u1 \cdot 2} + \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, \frac{1}{2}\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
    14. lower-fma.f3299.3

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{{\left(alphax \cdot \sin \tan^{-1} \left(\tan \left(\color{blue}{\mathsf{fma}\left(u1, 2, 0.5\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}^{2} + {\left(\frac{1}{\sqrt{{\left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 1}} \cdot alphay\right)}^{2}}{alphax \cdot alphax}}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  8. Applied rewrites99.3%

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

Alternative 4: 98.1% accurate, 1.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot \left(0.5 + 2 \cdot u1\right)\\ e^{\mathsf{log1p}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)}^{2}} \cdot \frac{u0}{1 - u0}\right) \cdot -0.5} \end{array} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (let* ((t_0 (* (PI) (+ 0.5 (* 2.0 u1)))))
   (exp
    (*
     (log1p
      (*
       (/
        (* alphay alphay)
        (pow (sin (atan (* (/ alphay alphax) (/ (sin t_0) (cos t_0))))) 2.0))
       (/ u0 (- 1.0 u0))))
     -0.5))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot \left(0.5 + 2 \cdot u1\right)\\
e^{\mathsf{log1p}\left(\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin t\_0}{\cos t\_0}\right)}^{2}} \cdot \frac{u0}{1 - u0}\right) \cdot -0.5}
\end{array}
\end{array}
Derivation
  1. Initial program 99.2%

    \[\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot u1 + 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}} \]
  2. Add Preprocessing
  3. Applied rewrites99.9%

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

    \[\leadsto \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{u0}{{\left(\frac{\cos \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax}\right)}^{2} + {\left(\frac{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}{alphay}\right)}^{2}}}{1 - u0}\right) \cdot -0.5}} \]
  5. Taylor expanded in alphax around inf

    \[\leadsto e^{\mathsf{log1p}\left(\color{blue}{\frac{{alphay}^{2} \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}{alphax \cdot \cos \left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{2} + 2 \cdot u1\right)\right)}\right)}^{2} \cdot \left(1 - u0\right)}}\right) \cdot \frac{-1}{2}} \]
  6. Applied rewrites98.7%

    \[\leadsto e^{\mathsf{log1p}\left(\color{blue}{\frac{alphay \cdot alphay}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(\mathsf{PI}\left(\right) \cdot \left(0.5 + 2 \cdot u1\right)\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \left(0.5 + 2 \cdot u1\right)\right)}\right)}^{2}} \cdot \frac{u0}{1 - u0}}\right) \cdot -0.5} \]
  7. Add Preprocessing

Alternative 5: 98.0% accurate, 2.5× speedup?

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

\\
{\left(\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.2%

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

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

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\color{blue}{{alphay}^{2} \cdot u0}}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2}}}{1 - u0}}} \]
    3. unpow2N/A

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

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

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

    \[\leadsto \frac{1}{\sqrt{1 + \frac{\color{blue}{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{\frac{alphay}{alphax} \cdot \sin \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{\cos \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}\right)}^{2}}}}{1 - u0}}} \]
  6. Applied rewrites98.6%

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

Alternative 6: 97.9% accurate, 3.0× speedup?

\[\begin{array}{l} \\ {\left(\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}{1 - u0} - -1\right)}^{-0.5} \end{array} \]
(FPCore (u0 u1 alphax alphay)
 :precision binary32
 (pow
  (-
   (/
    (/
     (* (* alphay alphay) u0)
     (-
      0.5
      (* 0.5 (cos (* 2.0 (atan (* (tan (* 1.5 (PI))) (/ alphay alphax))))))))
    (- 1.0 u0))
   -1.0)
  -0.5))
\begin{array}{l}

\\
{\left(\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}{1 - u0} - -1\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.2%

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

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

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\color{blue}{{alphay}^{2} \cdot u0}}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2}}}{1 - u0}}} \]
    3. unpow2N/A

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

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

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

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

    \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}\right)}^{2}}}{1 - u0}}} \]
  7. Step-by-step derivation
    1. Applied rewrites97.8%

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(-0.5 \cdot \mathsf{PI}\left(\right)\right)}\right)}^{2}}}{1 - u0}}} \]
    2. Applied rewrites98.3%

      \[\leadsto \color{blue}{{\left(\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right)}^{2}}}{1 - u0} - -1\right)}^{-0.5}} \]
    3. Applied rewrites98.3%

      \[\leadsto {\left(\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - \color{blue}{0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}}{1 - u0} - -1\right)}^{-0.5} \]
    4. Add Preprocessing

    Alternative 7: 97.5% accurate, 3.6× speedup?

    \[\begin{array}{l} \\ \frac{1}{\sqrt{\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}{1 - u0} - -1}} \end{array} \]
    (FPCore (u0 u1 alphax alphay)
     :precision binary32
     (/
      1.0
      (sqrt
       (-
        (/
         (/
          (* (* alphay alphay) u0)
          (-
           0.5
           (* 0.5 (cos (* 2.0 (atan (* (tan (* 1.5 (PI))) (/ alphay alphax))))))))
         (- 1.0 u0))
        -1.0))))
    \begin{array}{l}
    
    \\
    \frac{1}{\sqrt{\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}{1 - u0} - -1}}
    \end{array}
    
    Derivation
    1. Initial program 99.2%

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

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

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

        \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\color{blue}{{alphay}^{2} \cdot u0}}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right) + 2 \cdot \left(u1 \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{2}}}{1 - u0}}} \]
      3. unpow2N/A

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

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

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

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

      \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay \cdot \sin \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{alphax \cdot \cos \left(\frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}\right)}^{2}}}{1 - u0}}} \]
    7. Step-by-step derivation
      1. Applied rewrites97.8%

        \[\leadsto \frac{1}{\sqrt{1 + \frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \frac{\sin \left(0.5 \cdot \mathsf{PI}\left(\right)\right)}{\cos \left(-0.5 \cdot \mathsf{PI}\left(\right)\right)}\right)}^{2}}}{1 - u0}}} \]
      2. Applied rewrites97.8%

        \[\leadsto \color{blue}{\frac{1}{\sqrt{\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{{\sin \tan^{-1} \left(\tan \left(\mathsf{PI}\left(\right) \cdot 0.5\right) \cdot \frac{alphay}{alphax}\right)}^{2}}}{1 - u0} - -1}}} \]
      3. Applied rewrites97.8%

        \[\leadsto \frac{1}{\sqrt{\frac{\frac{\left(alphay \cdot alphay\right) \cdot u0}{0.5 - \color{blue}{0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\tan \left(1.5 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{alphay}{alphax}\right)\right)}}}{1 - u0} - -1}} \]
      4. Add Preprocessing

      Alternative 8: 91.4% 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 99.2%

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

        \[\leadsto \color{blue}{1} \]
      4. Step-by-step derivation
        1. Applied rewrites91.9%

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

        Reproduce

        ?
        herbie shell --seed 2025015 
        (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))))))