Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.6% → 99.5%
Time: 12.2s
Alternatives: 17
Speedup: N/A×

Specification

?
\[\left(0 \leq s \land s \leq 256\right) \land \left(10^{-6} < r \land r < 1000000\right)\]
\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 (PI)) s) r))
  (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 (PI)) s) r))))
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}
\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 17 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: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 (PI)) s) r))
  (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 (PI)) s) r))))
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}
\end{array}

Alternative 1: 99.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (/
  (*
   (+ (exp (* -0.3333333333333333 (/ r s))) (exp (/ (- r) s)))
   (/ 0.125 (* (PI) s)))
  r))
\begin{array}{l}

\\
\frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
  4. Taylor expanded in s around 0

    \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  5. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
    2. lower-/.f3299.5

      \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  6. Applied rewrites99.5%

    \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    3. distribute-lft-outN/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
    4. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
    5. associate-*l/N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
  8. Applied rewrites99.5%

    \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
  9. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
  10. Add Preprocessing

Alternative 2: 99.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot 0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s} \end{array} \]
(FPCore (s r)
 :precision binary32
 (/
  (* (+ (exp (* -0.3333333333333333 (/ r s))) (exp (/ (- r) s))) 0.125)
  (* (* (PI) r) s)))
\begin{array}{l}

\\
\frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot 0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
  4. Taylor expanded in s around 0

    \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  5. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
    2. lower-/.f3299.5

      \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  6. Applied rewrites99.5%

    \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    3. distribute-lft-outN/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
    4. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
    5. associate-*l/N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
  8. Applied rewrites99.5%

    \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
  9. Step-by-step derivation
    1. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
    3. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
    4. rem-square-sqrtN/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)}}}{r} \]
    5. lift-sqrt.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \left(\color{blue}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)}}{r} \]
    6. lift-sqrt.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot \color{blue}{\sqrt{\mathsf{PI}\left(\right)}}\right)}}{r} \]
    7. associate-*l*N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}}}}{r} \]
    8. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}}}{r} \]
    9. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}}}}{r} \]
    10. associate-/l/N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\left(\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot r}} \]
  10. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot 0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}} \]
  11. Add Preprocessing

Alternative 3: 97.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s} \end{array} \]
(FPCore (s r)
 :precision binary32
 (*
  (+ (exp (* -0.3333333333333333 (/ r s))) (exp (/ (- r) s)))
  (/ 0.125 (* (* (PI) r) s))))
\begin{array}{l}

\\
\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
  4. Taylor expanded in s around 0

    \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  5. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
    2. lower-/.f3299.5

      \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  6. Applied rewrites99.5%

    \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    3. distribute-lft-outN/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
    4. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
    5. associate-*l/N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
  8. Applied rewrites99.5%

    \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
  9. Step-by-step derivation
    1. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
    3. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
    4. rem-square-sqrtN/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)}}}{r} \]
    5. lift-sqrt.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \left(\color{blue}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)}}{r} \]
    6. lift-sqrt.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{s \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot \color{blue}{\sqrt{\mathsf{PI}\left(\right)}}\right)}}{r} \]
    7. associate-*l*N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}}}}{r} \]
    8. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}}}{r} \]
    9. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\color{blue}{\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}}}}{r} \]
    10. associate-/l/N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot \frac{-1}{3}}\right)}{\left(\left(s \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot \sqrt{\mathsf{PI}\left(\right)}\right) \cdot r}} \]
  10. Applied rewrites96.0%

    \[\leadsto \color{blue}{\left(e^{-0.3333333333333333 \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right) \cdot \frac{0.125}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}} \]
  11. Add Preprocessing

Alternative 4: 10.3% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-r}{s}\\ \mathsf{fma}\left(\frac{e^{t\_0}}{r}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)} \cdot t\_0 - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} + \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{s}\right) \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (/ (- r) s)))
   (fma
    (/ (exp t_0) r)
    (/ 0.125 (* (PI) s))
    (/
     (+
      (/
       (-
        (*
         (/ (fma 0.0007716049382716049 (/ r s) -0.006944444444444444) (PI))
         t_0)
        (/ 0.041666666666666664 (PI)))
       s)
      (/ 0.125 (* (PI) r)))
     s))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{-r}{s}\\
\mathsf{fma}\left(\frac{e^{t\_0}}{r}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)} \cdot t\_0 - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} + \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{s}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Taylor expanded in s around -inf

    \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\left(\mathsf{neg}\left(\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}\right)\right)} \]
    2. distribute-neg-frac2N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
    3. lower-/.f32N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
  5. Applied rewrites8.2%

    \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
  6. Step-by-step derivation
    1. lift-+.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
    2. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    3. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot e^{\frac{-r}{s}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    4. associate-/l*N/A

      \[\leadsto \color{blue}{\frac{1}{4} \cdot \frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    5. *-commutativeN/A

      \[\leadsto \color{blue}{\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \cdot \frac{1}{4}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
  7. Applied rewrites8.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}, 0.25, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right)} \]
  8. Applied rewrites8.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)} \cdot \frac{-r}{s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}\right)} \]
  9. Final simplification8.2%

    \[\leadsto \mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)} \cdot \frac{-r}{s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} + \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{s}\right) \]
  10. Add Preprocessing

Alternative 5: 10.3% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{s \cdot \mathsf{PI}\left(\right)}, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right) \end{array} \]
(FPCore (s r)
 :precision binary32
 (fma
  (/ (exp (/ (- r) s)) r)
  (/ 0.125 (* s (PI)))
  (/
   (-
    (/
     (+
      (/
       (/ (* r (fma 0.0007716049382716049 (/ r s) -0.006944444444444444)) (PI))
       s)
      (/ 0.041666666666666664 (PI)))
     s)
    (/ 0.125 (* r (PI))))
   (- s))))
\begin{array}{l}

\\
\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{s \cdot \mathsf{PI}\left(\right)}, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Taylor expanded in s around -inf

    \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\left(\mathsf{neg}\left(\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}\right)\right)} \]
    2. distribute-neg-frac2N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
    3. lower-/.f32N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
  5. Applied rewrites8.2%

    \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
  6. Applied rewrites8.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{s \cdot \mathsf{PI}\left(\right)}, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right)} \]
  7. Final simplification8.2%

    \[\leadsto \mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{r}, \frac{0.125}{s \cdot \mathsf{PI}\left(\right)}, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right) \]
  8. Add Preprocessing

Alternative 6: 10.3% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}, 0.25, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right) \end{array} \]
(FPCore (s r)
 :precision binary32
 (fma
  (/ (exp (/ (- r) s)) (* (* (* 2.0 (PI)) s) r))
  0.25
  (/
   (-
    (/
     (+
      (/
       (/ (* r (fma 0.0007716049382716049 (/ r s) -0.006944444444444444)) (PI))
       s)
      (/ 0.041666666666666664 (PI)))
     s)
    (/ 0.125 (* r (PI))))
   (- s))))
\begin{array}{l}

\\
\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}, 0.25, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right)
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Taylor expanded in s around -inf

    \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\left(\mathsf{neg}\left(\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}\right)\right)} \]
    2. distribute-neg-frac2N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
    3. lower-/.f32N/A

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
  5. Applied rewrites8.2%

    \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
  6. Step-by-step derivation
    1. lift-+.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
    2. lift-/.f32N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    3. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot e^{\frac{-r}{s}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    4. associate-/l*N/A

      \[\leadsto \color{blue}{\frac{1}{4} \cdot \frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
    5. *-commutativeN/A

      \[\leadsto \color{blue}{\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \cdot \frac{1}{4}} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, \frac{1}{1296}, \frac{-1}{144} \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{24}}{\mathsf{PI}\left(\right)}}{-s} - \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot r}}{-s} \]
  7. Applied rewrites8.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}, 0.25, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right)} \]
  8. Final simplification8.2%

    \[\leadsto \mathsf{fma}\left(\frac{e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}, 0.25, \frac{\frac{\frac{\frac{r \cdot \mathsf{fma}\left(0.0007716049382716049, \frac{r}{s}, -0.006944444444444444\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{r \cdot \mathsf{PI}\left(\right)}}{-s}\right) \]
  9. Add Preprocessing

Alternative 7: 10.5% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(-0.05555555555555555, r \cdot \frac{r}{s}, 0.3333333333333333 \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (/
  (/
   (*
    0.125
    (+
     (exp (/ (- r) s))
     (-
      1.0
      (/
       (fma -0.05555555555555555 (* r (/ r s)) (* 0.3333333333333333 r))
       s))))
   (* s (PI)))
  r))
\begin{array}{l}

\\
\frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(-0.05555555555555555, r \cdot \frac{r}{s}, 0.3333333333333333 \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
  4. Taylor expanded in s around 0

    \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  5. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
    2. lower-/.f3299.5

      \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  6. Applied rewrites99.5%

    \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  7. Step-by-step derivation
    1. lift-fma.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
    3. distribute-lft-outN/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
    4. lift-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
    5. associate-*l/N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
  8. Applied rewrites99.5%

    \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
  9. Taylor expanded in s around -inf

    \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(1 + -1 \cdot \frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
  10. Step-by-step derivation
    1. fp-cancel-sign-sub-invN/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(1 - \left(\mathsf{neg}\left(-1\right)\right) \cdot \frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    2. metadata-evalN/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \color{blue}{1} \cdot \frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    3. *-lft-identityN/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \color{blue}{\frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    4. lower--.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(1 - \frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    5. lower-/.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \color{blue}{\frac{\frac{-1}{18} \cdot \frac{{r}^{2}}{s} + \frac{1}{3} \cdot r}{s}}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    6. lower-fma.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{18}, \frac{{r}^{2}}{s}, \frac{1}{3} \cdot r\right)}}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    7. unpow2N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(\frac{-1}{18}, \frac{\color{blue}{r \cdot r}}{s}, \frac{1}{3} \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    8. associate-/l*N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(\frac{-1}{18}, \color{blue}{r \cdot \frac{r}{s}}, \frac{1}{3} \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    9. lower-*.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(\frac{-1}{18}, \color{blue}{r \cdot \frac{r}{s}}, \frac{1}{3} \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    10. lower-/.f32N/A

      \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(\frac{-1}{18}, r \cdot \color{blue}{\frac{r}{s}}, \frac{1}{3} \cdot r\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
    11. lower-*.f328.1

      \[\leadsto \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \left(1 - \frac{\mathsf{fma}\left(-0.05555555555555555, r \cdot \frac{r}{s}, \color{blue}{0.3333333333333333 \cdot r}\right)}{s}\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
  11. Applied rewrites8.1%

    \[\leadsto \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(-0.05555555555555555, r \cdot \frac{r}{s}, 0.3333333333333333 \cdot r\right)}{s}\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
  12. Add Preprocessing

Alternative 8: 9.4% accurate, 1.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}\\ \frac{\mathsf{fma}\left(t\_0, 1, t\_0 \cdot e^{\frac{-r}{s}}\right)}{r} \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (/ 0.125 (* (PI) s))))
   (/ (fma t_0 1.0 (* t_0 (exp (/ (- r) s)))) r)))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}\\
\frac{\mathsf{fma}\left(t\_0, 1, t\_0 \cdot e^{\frac{-r}{s}}\right)}{r}
\end{array}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  2. Add Preprocessing
  3. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
  4. Taylor expanded in s around inf

    \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, \color{blue}{1}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
  5. Step-by-step derivation
    1. Applied rewrites7.9%

      \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, \color{blue}{1}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
    2. Add Preprocessing

    Alternative 9: 9.4% accurate, 1.8× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\\ \mathsf{fma}\left(0.125, \frac{1}{t\_0}, 0.125 \cdot \frac{e^{\frac{-r}{s}}}{t\_0}\right) \end{array} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (let* ((t_0 (* (* (PI) s) r)))
       (fma 0.125 (/ 1.0 t_0) (* 0.125 (/ (exp (/ (- r) s)) t_0)))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\\
    \mathsf{fma}\left(0.125, \frac{1}{t\_0}, 0.125 \cdot \frac{e^{\frac{-r}{s}}}{t\_0}\right)
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 99.4%

      \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-+.f32N/A

        \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} \]
      2. +-commutativeN/A

        \[\leadsto \color{blue}{\frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} \]
      3. lift-/.f32N/A

        \[\leadsto \color{blue}{\frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      4. lift-*.f32N/A

        \[\leadsto \frac{\color{blue}{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      5. lift-*.f32N/A

        \[\leadsto \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      6. lift-*.f32N/A

        \[\leadsto \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right)} \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      7. lift-*.f32N/A

        \[\leadsto \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\color{blue}{\left(6 \cdot \mathsf{PI}\left(\right)\right)} \cdot s\right) \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      8. associate-*l*N/A

        \[\leadsto \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(6 \cdot \left(\mathsf{PI}\left(\right) \cdot s\right)\right)} \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      9. associate-*l*N/A

        \[\leadsto \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{6 \cdot \left(\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\right)}} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      10. times-fracN/A

        \[\leadsto \color{blue}{\frac{\frac{3}{4}}{6} \cdot \frac{e^{\frac{-r}{3 \cdot s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      11. metadata-evalN/A

        \[\leadsto \color{blue}{\frac{1}{8}} \cdot \frac{e^{\frac{-r}{3 \cdot s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      12. metadata-evalN/A

        \[\leadsto \color{blue}{\frac{\frac{1}{4}}{2}} \cdot \frac{e^{\frac{-r}{3 \cdot s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r} + \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    4. Applied rewrites99.4%

      \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}, 0.125 \cdot \frac{e^{\frac{-r}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right)} \]
    5. Taylor expanded in s around inf

      \[\leadsto \mathsf{fma}\left(\frac{1}{8}, \frac{\color{blue}{1}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}, \frac{1}{8} \cdot \frac{e^{\frac{-r}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right) \]
    6. Step-by-step derivation
      1. Applied rewrites7.9%

        \[\leadsto \mathsf{fma}\left(0.125, \frac{\color{blue}{1}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}, 0.125 \cdot \frac{e^{\frac{-r}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right) \]
      2. Add Preprocessing

      Alternative 10: 9.6% accurate, 1.8× speedup?

      \[\begin{array}{l} \\ \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \end{array} \]
      (FPCore (s r)
       :precision binary32
       (/
        (/
         (* 0.125 (+ (exp (/ (- r) s)) (fma -0.3333333333333333 (/ r s) 1.0)))
         (* s (PI)))
        r))
      \begin{array}{l}
      
      \\
      \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r}
      \end{array}
      
      Derivation
      1. Initial program 99.4%

        \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      2. Add Preprocessing
      3. Applied rewrites99.5%

        \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
      4. Taylor expanded in s around 0

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
      5. Step-by-step derivation
        1. lower-*.f32N/A

          \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
        2. lower-/.f3299.5

          \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
      6. Applied rewrites99.5%

        \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
      7. Step-by-step derivation
        1. lift-fma.f32N/A

          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
        2. lift-*.f32N/A

          \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
        3. distribute-lft-outN/A

          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
        4. lift-/.f32N/A

          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
        5. associate-*l/N/A

          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
        6. lower-/.f32N/A

          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
      8. Applied rewrites99.5%

        \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
      9. Taylor expanded in s around inf

        \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(1 + \frac{-1}{3} \cdot \frac{r}{s}\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
      10. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\left(\frac{-1}{3} \cdot \frac{r}{s} + 1\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
        2. lower-fma.f32N/A

          \[\leadsto \frac{\frac{\frac{1}{8} \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\mathsf{fma}\left(\frac{-1}{3}, \frac{r}{s}, 1\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
        3. lower-/.f327.7

          \[\leadsto \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \mathsf{fma}\left(-0.3333333333333333, \color{blue}{\frac{r}{s}}, 1\right)\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
      11. Applied rewrites7.7%

        \[\leadsto \frac{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + \color{blue}{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}\right)}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
      12. Add Preprocessing

      Alternative 11: 9.7% accurate, 2.3× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := r \cdot \mathsf{PI}\left(\right)\\ t_1 := \frac{r}{\mathsf{PI}\left(\right)}\\ \frac{\frac{\frac{\mathsf{fma}\left(t\_0, \frac{\mathsf{fma}\left(t\_1, -0.06944444444444445, \frac{\left(t\_1 \cdot r\right) \cdot 0.021604938271604937}{s}\right)}{-s} - \frac{0.16666666666666666}{\mathsf{PI}\left(\right)}, s \cdot 0.25\right)}{s}}{t\_0}}{s} \end{array} \end{array} \]
      (FPCore (s r)
       :precision binary32
       (let* ((t_0 (* r (PI))) (t_1 (/ r (PI))))
         (/
          (/
           (/
            (fma
             t_0
             (-
              (/
               (fma
                t_1
                -0.06944444444444445
                (/ (* (* t_1 r) 0.021604938271604937) s))
               (- s))
              (/ 0.16666666666666666 (PI)))
             (* s 0.25))
            s)
           t_0)
          s)))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := r \cdot \mathsf{PI}\left(\right)\\
      t_1 := \frac{r}{\mathsf{PI}\left(\right)}\\
      \frac{\frac{\frac{\mathsf{fma}\left(t\_0, \frac{\mathsf{fma}\left(t\_1, -0.06944444444444445, \frac{\left(t\_1 \cdot r\right) \cdot 0.021604938271604937}{s}\right)}{-s} - \frac{0.16666666666666666}{\mathsf{PI}\left(\right)}, s \cdot 0.25\right)}{s}}{t\_0}}{s}
      \end{array}
      \end{array}
      
      Derivation
      1. Initial program 99.4%

        \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      2. Add Preprocessing
      3. Taylor expanded in s around -inf

        \[\leadsto \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{48} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)} + \frac{-1}{1296} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)}}{s} + \left(\frac{-1}{16} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right)}{s} - \frac{1}{6} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
      4. Applied rewrites7.6%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\mathsf{fma}\left(-0.06944444444444445, \frac{r}{\mathsf{PI}\left(\right)}, \frac{0.021604938271604937 \cdot \left(r \cdot \frac{r}{\mathsf{PI}\left(\right)}\right)}{s}\right)}{-s} - \frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
      5. Step-by-step derivation
        1. Applied rewrites7.7%

          \[\leadsto \frac{\frac{\frac{\mathsf{fma}\left(r \cdot \mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, -0.06944444444444445, \frac{\left(\frac{r}{\mathsf{PI}\left(\right)} \cdot r\right) \cdot 0.021604938271604937}{s}\right)}{-s} - \frac{0.16666666666666666}{\mathsf{PI}\left(\right)}, s \cdot 0.25\right)}{-s}}{r \cdot \mathsf{PI}\left(\right)}}{-\color{blue}{s}} \]
        2. Final simplification7.7%

          \[\leadsto \frac{\frac{\frac{\mathsf{fma}\left(r \cdot \mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, -0.06944444444444445, \frac{\left(\frac{r}{\mathsf{PI}\left(\right)} \cdot r\right) \cdot 0.021604938271604937}{s}\right)}{-s} - \frac{0.16666666666666666}{\mathsf{PI}\left(\right)}, s \cdot 0.25\right)}{s}}{r \cdot \mathsf{PI}\left(\right)}}{s} \]
        3. Add Preprocessing

        Alternative 12: 10.0% accurate, 3.7× speedup?

        \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, 0.06944444444444445, \frac{\frac{\frac{s}{r} \cdot 0.25 - 0.16666666666666666}{s}}{\mathsf{PI}\left(\right)}\right)}{s} \end{array} \]
        (FPCore (s r)
         :precision binary32
         (/
          (fma
           (/ r (* (* s s) (PI)))
           0.06944444444444445
           (/ (/ (- (* (/ s r) 0.25) 0.16666666666666666) s) (PI)))
          s))
        \begin{array}{l}
        
        \\
        \frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, 0.06944444444444445, \frac{\frac{\frac{s}{r} \cdot 0.25 - 0.16666666666666666}{s}}{\mathsf{PI}\left(\right)}\right)}{s}
        \end{array}
        
        Derivation
        1. Initial program 99.4%

          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
        2. Add Preprocessing
        3. Taylor expanded in s around inf

          \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
        4. Step-by-step derivation
          1. lower-/.f32N/A

            \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
        5. Applied rewrites7.7%

          \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, 0.06944444444444445, \frac{\mathsf{fma}\left(-0.16666666666666666, \frac{1}{s}, \frac{0.25}{r}\right)}{\mathsf{PI}\left(\right)}\right)}{s}} \]
        6. Taylor expanded in s around 0

          \[\leadsto \frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{5}{72}, \frac{\frac{\frac{1}{4} \cdot \frac{s}{r} - \frac{1}{6}}{s}}{\mathsf{PI}\left(\right)}\right)}{s} \]
        7. Step-by-step derivation
          1. Applied rewrites7.7%

            \[\leadsto \frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, 0.06944444444444445, \frac{\frac{\frac{s}{r} \cdot 0.25 - 0.16666666666666666}{s}}{\mathsf{PI}\left(\right)}\right)}{s} \]
          2. Add Preprocessing

          Alternative 13: 10.0% accurate, 4.0× speedup?

          \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(r, \frac{0.06944444444444445}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{-0.16666666666666666}{s} + \frac{0.25}{r}}{\mathsf{PI}\left(\right)}\right)}{s} \end{array} \]
          (FPCore (s r)
           :precision binary32
           (/
            (fma
             r
             (/ 0.06944444444444445 (* (* s s) (PI)))
             (/ (+ (/ -0.16666666666666666 s) (/ 0.25 r)) (PI)))
            s))
          \begin{array}{l}
          
          \\
          \frac{\mathsf{fma}\left(r, \frac{0.06944444444444445}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{-0.16666666666666666}{s} + \frac{0.25}{r}}{\mathsf{PI}\left(\right)}\right)}{s}
          \end{array}
          
          Derivation
          1. Initial program 99.4%

            \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
          2. Add Preprocessing
          3. Taylor expanded in s around inf

            \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
          4. Step-by-step derivation
            1. lower-/.f32N/A

              \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
          5. Applied rewrites7.7%

            \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, 0.06944444444444445, \frac{\mathsf{fma}\left(-0.16666666666666666, \frac{1}{s}, \frac{0.25}{r}\right)}{\mathsf{PI}\left(\right)}\right)}{s}} \]
          6. Step-by-step derivation
            1. Applied rewrites7.7%

              \[\leadsto \frac{\mathsf{fma}\left(r, \frac{0.06944444444444445}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{-0.16666666666666666}{s} + \frac{0.25}{r}}{\mathsf{PI}\left(\right)}\right)}{s} \]
            2. Add Preprocessing

            Alternative 14: 10.0% accurate, 4.2× speedup?

            \[\begin{array}{l} \\ \frac{\frac{0.25 - \frac{0.16666666666666666 \cdot r - \frac{\left(r \cdot r\right) \cdot 0.06944444444444445}{s}}{s}}{s \cdot \mathsf{PI}\left(\right)}}{r} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (/
              (/
               (-
                0.25
                (/ (- (* 0.16666666666666666 r) (/ (* (* r r) 0.06944444444444445) s)) s))
               (* s (PI)))
              r))
            \begin{array}{l}
            
            \\
            \frac{\frac{0.25 - \frac{0.16666666666666666 \cdot r - \frac{\left(r \cdot r\right) \cdot 0.06944444444444445}{s}}{s}}{s \cdot \mathsf{PI}\left(\right)}}{r}
            \end{array}
            
            Derivation
            1. Initial program 99.4%

              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            2. Add Preprocessing
            3. Applied rewrites99.5%

              \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\frac{\frac{r}{-3}}{s}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r}} \]
            4. Taylor expanded in s around 0

              \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
            5. Step-by-step derivation
              1. lower-*.f32N/A

                \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{\frac{-1}{3} \cdot \frac{r}{s}}}, \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
              2. lower-/.f3299.5

                \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
            6. Applied rewrites99.5%

              \[\leadsto \frac{\mathsf{fma}\left(\frac{0.125}{\mathsf{PI}\left(\right) \cdot s}, e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}, \frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}\right)}{r} \]
            7. Step-by-step derivation
              1. lift-fma.f32N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
              2. lift-*.f32N/A

                \[\leadsto \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}} + \color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{\frac{-r}{s}}}}{r} \]
              3. distribute-lft-outN/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}}{r} \]
              4. lift-/.f32N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{r} \]
              5. associate-*l/N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
              6. lower-/.f32N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{8} \cdot \left(e^{\frac{-1}{3} \cdot \frac{r}{s}} + e^{\frac{-r}{s}}\right)}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
            8. Applied rewrites99.5%

              \[\leadsto \frac{\color{blue}{\frac{0.125 \cdot \left(e^{\frac{-r}{s}} + e^{\frac{r}{s} \cdot -0.3333333333333333}\right)}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
            9. Taylor expanded in s around -inf

              \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} + -1 \cdot \frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
            10. Step-by-step derivation
              1. fp-cancel-sign-sub-invN/A

                \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} - \left(\mathsf{neg}\left(-1\right)\right) \cdot \frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              2. metadata-evalN/A

                \[\leadsto \frac{\frac{\frac{1}{4} - \color{blue}{1} \cdot \frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              3. *-lft-identityN/A

                \[\leadsto \frac{\frac{\frac{1}{4} - \color{blue}{\frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              4. lower--.f32N/A

                \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} - \frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              5. lower-/.f32N/A

                \[\leadsto \frac{\frac{\frac{1}{4} - \color{blue}{\frac{\frac{-1}{8} \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{8} \cdot \left(r + \frac{1}{3} \cdot r\right)}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
            11. Applied rewrites7.7%

              \[\leadsto \frac{\frac{\color{blue}{0.25 - \frac{0.16666666666666666 \cdot r - \frac{\left(r \cdot r\right) \cdot 0.06944444444444445}{s}}{s}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
            12. Add Preprocessing

            Alternative 15: 8.9% accurate, 6.3× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ \frac{0.25}{\left(t\_0 \cdot s\right) \cdot \left(t\_0 \cdot r\right)} \end{array} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (let* ((t_0 (sqrt (PI)))) (/ 0.25 (* (* t_0 s) (* t_0 r)))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
            \frac{0.25}{\left(t\_0 \cdot s\right) \cdot \left(t\_0 \cdot r\right)}
            \end{array}
            \end{array}
            
            Derivation
            1. Initial program 99.4%

              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            2. Add Preprocessing
            3. Taylor expanded in s around inf

              \[\leadsto \color{blue}{\frac{\frac{1}{4}}{r \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}} \]
            4. Step-by-step derivation
              1. *-commutativeN/A

                \[\leadsto \frac{\frac{1}{4}}{\color{blue}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot r}} \]
              2. associate-/r*N/A

                \[\leadsto \color{blue}{\frac{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
              3. metadata-evalN/A

                \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} \cdot 1}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              4. associate-*r/N/A

                \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
              5. lower-/.f32N/A

                \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
              6. associate-*r/N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4} \cdot 1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
              7. metadata-evalN/A

                \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
              8. lower-/.f32N/A

                \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
              9. *-commutativeN/A

                \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
              10. lower-*.f32N/A

                \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
              11. lower-PI.f327.5

                \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
            5. Applied rewrites7.5%

              \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
            6. Step-by-step derivation
              1. Applied rewrites7.5%

                \[\leadsto \frac{0.25}{\color{blue}{\left(r \cdot \mathsf{PI}\left(\right)\right) \cdot s}} \]
              2. Step-by-step derivation
                1. Applied rewrites7.5%

                  \[\leadsto \frac{0.25}{\left(r \cdot s\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
                2. Step-by-step derivation
                  1. Applied rewrites7.5%

                    \[\leadsto \frac{0.25}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot s\right) \cdot \color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot r\right)}} \]
                  2. Add Preprocessing

                  Alternative 16: 8.9% accurate, 13.5× speedup?

                  \[\begin{array}{l} \\ \frac{0.25}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot r} \end{array} \]
                  (FPCore (s r) :precision binary32 (/ 0.25 (* (* s (PI)) r)))
                  \begin{array}{l}
                  
                  \\
                  \frac{0.25}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot r}
                  \end{array}
                  
                  Derivation
                  1. Initial program 99.4%

                    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                  2. Add Preprocessing
                  3. Taylor expanded in s around inf

                    \[\leadsto \color{blue}{\frac{\frac{1}{4}}{r \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}} \]
                  4. Step-by-step derivation
                    1. *-commutativeN/A

                      \[\leadsto \frac{\frac{1}{4}}{\color{blue}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot r}} \]
                    2. associate-/r*N/A

                      \[\leadsto \color{blue}{\frac{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                    3. metadata-evalN/A

                      \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} \cdot 1}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
                    4. associate-*r/N/A

                      \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                    5. lower-/.f32N/A

                      \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                    6. associate-*r/N/A

                      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4} \cdot 1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                    7. metadata-evalN/A

                      \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
                    8. lower-/.f32N/A

                      \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                    9. *-commutativeN/A

                      \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                    10. lower-*.f32N/A

                      \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                    11. lower-PI.f327.5

                      \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                  5. Applied rewrites7.5%

                    \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                  6. Step-by-step derivation
                    1. Applied rewrites7.5%

                      \[\leadsto \frac{0.25}{\color{blue}{\left(r \cdot \mathsf{PI}\left(\right)\right) \cdot s}} \]
                    2. Step-by-step derivation
                      1. Applied rewrites7.5%

                        \[\leadsto \frac{0.25}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{r}} \]
                      2. Add Preprocessing

                      Alternative 17: 8.9% accurate, 13.5× speedup?

                      \[\begin{array}{l} \\ \frac{0.25}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)} \end{array} \]
                      (FPCore (s r) :precision binary32 (/ 0.25 (* (* r s) (PI))))
                      \begin{array}{l}
                      
                      \\
                      \frac{0.25}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}
                      \end{array}
                      
                      Derivation
                      1. Initial program 99.4%

                        \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                      2. Add Preprocessing
                      3. Taylor expanded in s around inf

                        \[\leadsto \color{blue}{\frac{\frac{1}{4}}{r \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}} \]
                      4. Step-by-step derivation
                        1. *-commutativeN/A

                          \[\leadsto \frac{\frac{1}{4}}{\color{blue}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot r}} \]
                        2. associate-/r*N/A

                          \[\leadsto \color{blue}{\frac{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                        3. metadata-evalN/A

                          \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4} \cdot 1}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
                        4. associate-*r/N/A

                          \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                        5. lower-/.f32N/A

                          \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                        6. associate-*r/N/A

                          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4} \cdot 1}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                        7. metadata-evalN/A

                          \[\leadsto \frac{\frac{\color{blue}{\frac{1}{4}}}{s \cdot \mathsf{PI}\left(\right)}}{r} \]
                        8. lower-/.f32N/A

                          \[\leadsto \frac{\color{blue}{\frac{\frac{1}{4}}{s \cdot \mathsf{PI}\left(\right)}}}{r} \]
                        9. *-commutativeN/A

                          \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                        10. lower-*.f32N/A

                          \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                        11. lower-PI.f327.5

                          \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                      5. Applied rewrites7.5%

                        \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                      6. Step-by-step derivation
                        1. Applied rewrites7.5%

                          \[\leadsto \frac{0.25}{\color{blue}{\left(r \cdot \mathsf{PI}\left(\right)\right) \cdot s}} \]
                        2. Step-by-step derivation
                          1. Applied rewrites7.5%

                            \[\leadsto \frac{0.25}{\left(r \cdot s\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
                          2. Add Preprocessing

                          Reproduce

                          ?
                          herbie shell --seed 2025006 
                          (FPCore (s r)
                            :name "Disney BSSRDF, PDF of scattering profile"
                            :precision binary32
                            :pre (and (and (<= 0.0 s) (<= s 256.0)) (and (< 1e-6 r) (< r 1000000.0)))
                            (+ (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 (PI)) s) r)) (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 (PI)) s) r))))