Beckmann Sample, normalization factor

Percentage Accurate: 97.9% → 98.6%
Time: 7.2s
Alternatives: 7
Speedup: 2.2×

Specification

?
\[\left(0 < cosTheta \land cosTheta < 0.9999\right) \land \left(-1 < c \land c < 1\right)\]
\[\begin{array}{l} \\ \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (+ 1.0 c)
   (*
    (* (/ 1.0 (sqrt (PI))) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta))
    (exp (* (- cosTheta) cosTheta))))))
\begin{array}{l}

\\
\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\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 7 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: 97.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (+ 1.0 c)
   (*
    (* (/ 1.0 (sqrt (PI))) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta))
    (exp (* (- cosTheta) cosTheta))))))
\begin{array}{l}

\\
\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\end{array}

Alternative 1: 98.6% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (+ 1.0 c)
   (*
    (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) (* cosTheta (sqrt (PI))))
    (exp (* (- cosTheta) cosTheta))))))
\begin{array}{l}

\\
\frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\end{array}
Derivation
  1. Initial program 97.0%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \left(\color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    3. lift-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    4. frac-timesN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{1 \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    5. *-lft-identityN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    7. *-commutativeN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    8. lower-*.f3297.8

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  4. Applied rewrites97.8%

    \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  5. Add Preprocessing

Alternative 2: 98.4% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\sqrt{\left(1 - cosTheta\right) - cosTheta}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (sqrt (- (- 1.0 cosTheta) cosTheta))
   (/
    (fma
     (fma
      (* (fma (* cosTheta cosTheta) -0.16666666666666666 0.5) cosTheta)
      cosTheta
      -1.0)
     (* cosTheta cosTheta)
     1.0)
    (* (sqrt (PI)) cosTheta))
   (- c -1.0))))
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\sqrt{\left(1 - cosTheta\right) - cosTheta}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}
\end{array}
Derivation
  1. Initial program 97.0%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \left(\color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    3. lift-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    4. frac-timesN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{1 \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    5. *-lft-identityN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    7. *-commutativeN/A

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    8. lower-*.f3297.8

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  4. Applied rewrites97.8%

    \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  5. Taylor expanded in cosTheta around 0

    \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\left(1 + {cosTheta}^{2} \cdot \left({cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1\right)\right)}} \]
  6. Step-by-step derivation
    1. Applied rewrites97.6%

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(-0.16666666666666666, cosTheta \cdot cosTheta, 0.5\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
    2. Step-by-step derivation
      1. lift-+.f32N/A

        \[\leadsto \frac{1}{\color{blue}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(\frac{-1}{6}, cosTheta \cdot cosTheta, \frac{1}{2}\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
      2. +-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(\frac{-1}{6}, cosTheta \cdot cosTheta, \frac{1}{2}\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right) + \left(1 + c\right)}} \]
    3. Applied rewrites97.6%

      \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}} \]
    4. Step-by-step derivation
      1. lift-fma.f32N/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{-2 \cdot cosTheta + 1}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      2. +-commutativeN/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{1 + -2 \cdot cosTheta}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      3. fp-cancel-sign-sub-invN/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{1 - \left(\mathsf{neg}\left(-2\right)\right) \cdot cosTheta}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      4. metadata-evalN/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{1 - \color{blue}{2} \cdot cosTheta}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      5. count-2N/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{1 - \color{blue}{\left(cosTheta + cosTheta\right)}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      6. associate--l-N/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{\left(1 - cosTheta\right) - cosTheta}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      7. lift--.f32N/A

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{\left(1 - cosTheta\right)} - cosTheta}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{-1}{6}, \frac{1}{2}\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
      8. lift--.f3297.6

        \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{\left(1 - cosTheta\right) - cosTheta}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
    5. Applied rewrites97.6%

      \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\color{blue}{\left(1 - cosTheta\right) - cosTheta}}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
    6. Add Preprocessing

    Alternative 3: 98.1% accurate, 2.2× speedup?

    \[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (/
      1.0
      (fma
       (sqrt (fma cosTheta -2.0 1.0))
       (/
        (fma (fma (* 0.5 cosTheta) cosTheta -1.0) (* cosTheta cosTheta) 1.0)
        (* (sqrt (PI)) cosTheta))
       (- c -1.0))))
    \begin{array}{l}
    
    \\
    \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}
    \end{array}
    
    Derivation
    1. Initial program 97.0%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-*.f32N/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      2. lift-/.f32N/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \left(\color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      3. lift-/.f32N/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      4. frac-timesN/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{1 \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      5. *-lft-identityN/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      6. lower-/.f32N/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      7. *-commutativeN/A

        \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      8. lower-*.f3297.8

        \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    4. Applied rewrites97.8%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    5. Taylor expanded in cosTheta around 0

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\left(1 + {cosTheta}^{2} \cdot \left({cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1\right)\right)}} \]
    6. Step-by-step derivation
      1. Applied rewrites97.6%

        \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(-0.16666666666666666, cosTheta \cdot cosTheta, 0.5\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
      2. Taylor expanded in cosTheta around 0

        \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\frac{1}{2} \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)} \]
      3. Step-by-step derivation
        1. Applied rewrites97.3%

          \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(0.5 \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)} \]
        2. Step-by-step derivation
          1. lift-+.f32N/A

            \[\leadsto \frac{1}{\color{blue}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\frac{1}{2} \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
          2. +-commutativeN/A

            \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\frac{1}{2} \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right) + \left(1 + c\right)}} \]
        3. Applied rewrites97.3%

          \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}} \]
        4. Add Preprocessing

        Alternative 4: 97.5% accurate, 2.6× speedup?

        \[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{1 - cosTheta \cdot cosTheta}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \end{array} \]
        (FPCore (cosTheta c)
         :precision binary32
         (/
          1.0
          (fma
           (sqrt (fma -2.0 cosTheta 1.0))
           (/ (- 1.0 (* cosTheta cosTheta)) (* (sqrt (PI)) cosTheta))
           (- c -1.0))))
        \begin{array}{l}
        
        \\
        \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{1 - cosTheta \cdot cosTheta}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}
        \end{array}
        
        Derivation
        1. Initial program 97.0%

          \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift-*.f32N/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          2. lift-/.f32N/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \left(\color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          3. lift-/.f32N/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          4. frac-timesN/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{1 \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          5. *-lft-identityN/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          6. lower-/.f32N/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          7. *-commutativeN/A

            \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
          8. lower-*.f3297.8

            \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
        4. Applied rewrites97.8%

          \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}}} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
        5. Taylor expanded in cosTheta around 0

          \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\left(1 + {cosTheta}^{2} \cdot \left({cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1\right)\right)}} \]
        6. Step-by-step derivation
          1. Applied rewrites97.6%

            \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(-0.16666666666666666, cosTheta \cdot cosTheta, 0.5\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
          2. Step-by-step derivation
            1. lift-+.f32N/A

              \[\leadsto \frac{1}{\color{blue}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(\frac{-1}{6}, cosTheta \cdot cosTheta, \frac{1}{2}\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right)}} \]
            2. +-commutativeN/A

              \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(\frac{-1}{6}, cosTheta \cdot cosTheta, \frac{1}{2}\right) \cdot cosTheta\right) \cdot cosTheta - 1, cosTheta \cdot cosTheta, 1\right) + \left(1 + c\right)}} \]
          3. Applied rewrites97.6%

            \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right) \cdot cosTheta, cosTheta, -1\right), cosTheta \cdot cosTheta, 1\right)}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)}} \]
          4. Taylor expanded in cosTheta around 0

            \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{1 + \color{blue}{-1 \cdot {cosTheta}^{2}}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
          5. Step-by-step derivation
            1. Applied rewrites96.8%

              \[\leadsto \frac{1}{\mathsf{fma}\left(\sqrt{\mathsf{fma}\left(-2, cosTheta, 1\right)}, \frac{1 - \color{blue}{cosTheta \cdot cosTheta}}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta}, c - -1\right)} \]
            2. Add Preprocessing

            Alternative 5: 95.8% accurate, 3.4× speedup?

            \[\begin{array}{l} \\ \mathsf{fma}\left(\mathsf{fma}\left(c - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \mathsf{PI}\left(\right), \mathsf{PI}\left(\right)\right), -cosTheta, \sqrt{\mathsf{PI}\left(\right)}\right) \cdot cosTheta \end{array} \]
            (FPCore (cosTheta c)
             :precision binary32
             (*
              (fma (fma (- c (sqrt (/ 1.0 (PI)))) (PI) (PI)) (- cosTheta) (sqrt (PI)))
              cosTheta))
            \begin{array}{l}
            
            \\
            \mathsf{fma}\left(\mathsf{fma}\left(c - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \mathsf{PI}\left(\right), \mathsf{PI}\left(\right)\right), -cosTheta, \sqrt{\mathsf{PI}\left(\right)}\right) \cdot cosTheta
            \end{array}
            
            Derivation
            1. Initial program 97.0%

              \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
            2. Add Preprocessing
            3. Taylor expanded in cosTheta around 0

              \[\leadsto \color{blue}{cosTheta \cdot \left(\sqrt{\mathsf{PI}\left(\right)} + -1 \cdot \left(cosTheta \cdot \left(\mathsf{PI}\left(\right) \cdot \left(1 + \left(c + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right)} \]
            4. Step-by-step derivation
              1. Applied rewrites96.0%

                \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(c - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \mathsf{PI}\left(\right), \mathsf{PI}\left(\right)\right), -cosTheta, \sqrt{\mathsf{PI}\left(\right)}\right) \cdot cosTheta} \]
              2. Add Preprocessing

              Alternative 6: 92.9% accurate, 11.4× speedup?

              \[\begin{array}{l} \\ \sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta \end{array} \]
              (FPCore (cosTheta c) :precision binary32 (* (sqrt (PI)) cosTheta))
              \begin{array}{l}
              
              \\
              \sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta
              \end{array}
              
              Derivation
              1. Initial program 97.0%

                \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
              2. Add Preprocessing
              3. Taylor expanded in cosTheta around 0

                \[\leadsto \color{blue}{cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}} \]
              4. Step-by-step derivation
                1. Applied rewrites93.6%

                  \[\leadsto \color{blue}{\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta} \]
                2. Add Preprocessing

                Alternative 7: 5.0% accurate, 15.3× speedup?

                \[\begin{array}{l} \\ \frac{1}{c} \end{array} \]
                (FPCore (cosTheta c) :precision binary32 (/ 1.0 c))
                float code(float cosTheta, float c) {
                	return 1.0f / c;
                }
                
                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(costheta, c)
                use fmin_fmax_functions
                    real(4), intent (in) :: costheta
                    real(4), intent (in) :: c
                    code = 1.0e0 / c
                end function
                
                function code(cosTheta, c)
                	return Float32(Float32(1.0) / c)
                end
                
                function tmp = code(cosTheta, c)
                	tmp = single(1.0) / c;
                end
                
                \begin{array}{l}
                
                \\
                \frac{1}{c}
                \end{array}
                
                Derivation
                1. Initial program 97.0%

                  \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
                2. Add Preprocessing
                3. Taylor expanded in c around inf

                  \[\leadsto \frac{1}{\color{blue}{c}} \]
                4. Step-by-step derivation
                  1. Applied rewrites4.8%

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

                  Reproduce

                  ?
                  herbie shell --seed 2025018 
                  (FPCore (cosTheta c)
                    :name "Beckmann Sample, normalization factor"
                    :precision binary32
                    :pre (and (and (< 0.0 cosTheta) (< cosTheta 0.9999)) (and (< -1.0 c) (< c 1.0)))
                    (/ 1.0 (+ (+ 1.0 c) (* (* (/ 1.0 (sqrt (PI))) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta)) (exp (* (- cosTheta) cosTheta))))))