Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.5% → 99.5%
Time: 18.1s
Alternatives: 21
Speedup: 1.0×

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 21 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: 99.5% 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, 0.9× speedup?

\[\begin{array}{l} \\ \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{\frac{-1}{s}}{\frac{1}{r}}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
  (/ (* (exp (/ (/ -1.0 s) (/ 1.0 r))) 0.25) (* (* (* (PI) 2.0) s) r))))
\begin{array}{l}

\\
\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{\frac{-1}{s}}{\frac{1}{r}}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
\end{array}
Derivation
  1. Initial program 99.6%

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{\frac{1}{s}}{\frac{-1}{\color{blue}{r}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    11. lower-/.f3299.6

      \[\leadsto \frac{0.25 \cdot e^{\frac{\frac{1}{s}}{\color{blue}{\frac{-1}{r}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  4. Applied rewrites99.6%

    \[\leadsto \frac{0.25 \cdot e^{\color{blue}{\frac{\frac{1}{s}}{\frac{-1}{r}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  5. Final simplification99.6%

    \[\leadsto \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{\frac{-1}{s}}{\frac{1}{r}}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \]
  6. Add Preprocessing

Alternative 2: 90.9% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.004999999888241291:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right) \cdot s\right) \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<=
      (+
       (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
       (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
      0.004999999888241291)
   (fma
    1.0
    (/ 0.25 (* (* (* (sqrt (* (PI) (PI))) 2.0) s) r))
    (/ (* (pow (exp -0.3333333333333333) (/ r s)) (/ 0.125 (* (PI) s))) r))
   (/
    (-
     (/
      (-
       (/ -0.16666666666666666 (PI))
       (/
        (*
         (-
          (/ -0.06944444444444445 (PI))
          (* (/ -0.021604938271604937 s) (/ r (PI))))
         r)
        s))
      s)
     (/ -0.25 (* (PI) r)))
    s)))
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.004999999888241291:\\
\;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right) \cdot s\right) \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 0.00499999989

    1. Initial program 99.7%

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

      \[\leadsto \frac{\frac{1}{4} \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    4. Step-by-step derivation
      1. Applied rewrites5.1%

        \[\leadsto \frac{0.25 \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      2. Applied rewrites94.8%

        \[\leadsto \color{blue}{\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right)} \]
      3. Step-by-step derivation
        1. rem-square-sqrtN/A

          \[\leadsto \mathsf{fma}\left(1, \frac{\frac{1}{4}}{\left(\left(\color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}\right)} \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{\frac{-1}{3}}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
        2. sqrt-unprodN/A

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

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

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

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

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

          \[\leadsto \mathsf{fma}\left(1, \frac{\frac{1}{4}}{\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{\frac{-1}{3}}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
        8. lower-*.f3294.8

          \[\leadsto \mathsf{fma}\left(1, \frac{0.25}{\left(\left(\sqrt{\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}} \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
      4. Applied rewrites94.8%

        \[\leadsto \mathsf{fma}\left(1, \frac{0.25}{\left(\left(\color{blue}{\sqrt{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}} \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]

      if 0.00499999989 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

      1. Initial program 98.5%

        \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      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 rewrites78.1%

        \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
    5. Recombined 2 regimes into one program.
    6. Final simplification93.4%

      \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.004999999888241291:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\sqrt{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)} \cdot 2\right) \cdot s\right) \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
    7. Add Preprocessing

    Alternative 3: 91.7% accurate, 0.5× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot 2\\ \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(t\_0 \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(t\_0 \cdot r\right) \cdot s}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (let* ((t_0 (* (PI) 2.0)))
       (if (<=
            (+
             (/ (* (exp (/ (- r) s)) 0.25) (* (* t_0 s) r))
             (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
            4.999999987376214e-7)
         (fma
          1.0
          (/ 0.25 (* (* t_0 r) s))
          (/ (* (pow (exp -0.3333333333333333) (/ r s)) (/ 0.125 (* (PI) s))) r))
         (/
          (-
           (/
            (-
             (/ -0.16666666666666666 (PI))
             (/
              (*
               (-
                (/ -0.06944444444444445 (PI))
                (* (/ -0.021604938271604937 s) (/ r (PI))))
               r)
              s))
            s)
           (/ -0.25 (* (PI) r)))
          s))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \mathsf{PI}\left(\right) \cdot 2\\
    \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(t\_0 \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\
    \;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(t\_0 \cdot r\right) \cdot s}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 4.99999999e-7

      1. Initial program 99.7%

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

        \[\leadsto \frac{\frac{1}{4} \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      4. Step-by-step derivation
        1. Applied rewrites4.9%

          \[\leadsto \frac{0.25 \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
        2. Applied rewrites95.6%

          \[\leadsto \color{blue}{\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right)} \]
        3. Step-by-step derivation
          1. lift-*.f32N/A

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

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

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

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

            \[\leadsto \mathsf{fma}\left(1, \frac{\frac{1}{4}}{\color{blue}{s \cdot \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot r\right)}}, \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{\frac{-1}{3}}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
          6. lower-*.f3295.6

            \[\leadsto \mathsf{fma}\left(1, \frac{0.25}{s \cdot \color{blue}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot r\right)}}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
        4. Applied rewrites95.6%

          \[\leadsto \mathsf{fma}\left(1, \frac{0.25}{\color{blue}{s \cdot \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot r\right)}}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]

        if 4.99999999e-7 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

        1. Initial program 98.5%

          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
        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 rewrites74.2%

          \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
      5. Recombined 2 regimes into one program.
      6. Final simplification93.8%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot r\right) \cdot s}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
      7. Add Preprocessing

      Alternative 4: 94.6% accurate, 0.5× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.125}{\mathsf{PI}\left(\right)} \cdot \frac{{\left(e^{r}\right)}^{\left(\frac{-0.3333333333333333}{s}\right)}}{r \cdot s}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \end{array} \]
      (FPCore (s r)
       :precision binary32
       (if (<=
            (+
             (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
             (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
            0.0)
         (fma
          1.0
          (/ 0.125 (* (* r s) (PI)))
          (* (/ 0.125 (PI)) (/ (pow (exp r) (/ -0.3333333333333333 s)) (* r s))))
         (*
          (-
           (/ 0.06944444444444445 (* (pow s 3.0) (PI)))
           (/ (/ (- (/ (/ 0.16666666666666666 (PI)) s) (/ 0.25 (* (PI) r))) s) r))
          r)))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\
      \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.125}{\mathsf{PI}\left(\right)} \cdot \frac{{\left(e^{r}\right)}^{\left(\frac{-0.3333333333333333}{s}\right)}}{r \cdot s}\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 0.0

        1. Initial program 100.0%

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

          \[\leadsto \frac{\frac{1}{4} \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
        4. Step-by-step derivation
          1. Applied rewrites4.6%

            \[\leadsto \frac{0.25 \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
          2. Applied rewrites98.3%

            \[\leadsto \color{blue}{\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right)} \]
          3. Applied rewrites100.0%

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

          if 0.0 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

          1. Initial program 96.8%

            \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
          2. Add Preprocessing
          3. Taylor expanded in r around 0

            \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
          4. Applied rewrites42.3%

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

            \[\leadsto r \cdot \color{blue}{\left(\left(\frac{\frac{1}{4}}{{r}^{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)} + \frac{5}{72} \cdot \frac{1}{{s}^{3} \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{6}}{r \cdot \left({s}^{2} \cdot \mathsf{PI}\left(\right)\right)}\right)} \]
          6. Applied rewrites60.4%

            \[\leadsto \left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot \color{blue}{r} \]
        5. Recombined 2 regimes into one program.
        6. Final simplification94.9%

          \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.125}{\mathsf{PI}\left(\right)} \cdot \frac{{\left(e^{r}\right)}^{\left(\frac{-0.3333333333333333}{s}\right)}}{r \cdot s}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \]
        7. Add Preprocessing

        Alternative 5: 67.8% accurate, 0.5× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot s\\ \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{t\_0 \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{t\_0}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
        (FPCore (s r)
         :precision binary32
         (let* ((t_0 (* (PI) s)))
           (if (<=
                (+
                 (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                 (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                4.999999987376214e-7)
             (fma
              1.0
              (/ 0.125 (* t_0 r))
              (/ (* (pow (exp -0.3333333333333333) (/ r s)) (/ 0.125 t_0)) r))
             (/
              (-
               (/
                (-
                 (/ -0.16666666666666666 (PI))
                 (/
                  (*
                   (-
                    (/ -0.06944444444444445 (PI))
                    (* (/ -0.021604938271604937 s) (/ r (PI))))
                   r)
                  s))
                s)
               (/ -0.25 (* (PI) r)))
              s))))
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \mathsf{PI}\left(\right) \cdot s\\
        \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\
        \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{t\_0 \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{t\_0}}{r}\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 4.99999999e-7

          1. Initial program 99.7%

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

            \[\leadsto \frac{\frac{1}{4} \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
          4. Step-by-step derivation
            1. Applied rewrites4.9%

              \[\leadsto \frac{0.25 \cdot \color{blue}{1}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            2. Applied rewrites95.6%

              \[\leadsto \color{blue}{\mathsf{fma}\left(1, \frac{0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right)} \]
            3. Taylor expanded in s around 0

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

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

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

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

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

                \[\leadsto \mathsf{fma}\left(1, \frac{\frac{1}{8}}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot s\right)} \cdot r}, \frac{\frac{\frac{1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{\frac{-1}{3}}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
              6. lower-PI.f3295.6

                \[\leadsto \mathsf{fma}\left(1, \frac{0.125}{\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot s\right) \cdot r}, \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot {\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)}}{r}\right) \]
            5. Applied rewrites95.6%

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

            if 4.99999999e-7 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

            1. Initial program 98.5%

              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            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 rewrites74.2%

              \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
          5. Recombined 2 regimes into one program.
          6. Final simplification93.4%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(1, \frac{0.125}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}, \frac{{\left(e^{-0.3333333333333333}\right)}^{\left(\frac{r}{s}\right)} \cdot \frac{0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
          7. Add Preprocessing

          Alternative 6: 12.5% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 5.000000229068525 \cdot 10^{-19}:\\ \;\;\;\;\frac{1}{\frac{r}{\mathsf{fma}\left({s}^{-2} \cdot \mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, \frac{0.06944444444444445}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right), r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \end{array} \]
          (FPCore (s r)
           :precision binary32
           (if (<=
                (+
                 (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                 (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                5.000000229068525e-19)
             (/
              1.0
              (/
               r
               (fma
                (*
                 (pow s -2.0)
                 (fma
                  (/ r (PI))
                  (/ 0.06944444444444445 s)
                  (/ -0.16666666666666666 (PI))))
                r
                (/ 0.25 (* (PI) s)))))
             (*
              (-
               (/ 0.06944444444444445 (* (pow s 3.0) (PI)))
               (/ (/ (- (/ (/ 0.16666666666666666 (PI)) s) (/ 0.25 (* (PI) r))) s) r))
              r)))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 5.000000229068525 \cdot 10^{-19}:\\
          \;\;\;\;\frac{1}{\frac{r}{\mathsf{fma}\left({s}^{-2} \cdot \mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, \frac{0.06944444444444445}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right), r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}}\\
          
          \mathbf{else}:\\
          \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 2 regimes
          2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 5.00000023e-19

            1. Initial program 99.8%

              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            2. Add Preprocessing
            3. Taylor expanded in r around 0

              \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
            4. Applied rewrites4.7%

              \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
            5. Step-by-step derivation
              1. Applied rewrites4.7%

                \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
              2. Applied rewrites6.5%

                \[\leadsto \frac{1}{\color{blue}{\frac{r}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, \frac{0.06944444444444445}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right) \cdot {s}^{-2}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}}} \]

              if 5.00000023e-19 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

              1. Initial program 97.9%

                \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              2. Add Preprocessing
              3. Taylor expanded in r around 0

                \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
              4. Applied rewrites48.6%

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

                \[\leadsto r \cdot \color{blue}{\left(\left(\frac{\frac{1}{4}}{{r}^{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)} + \frac{5}{72} \cdot \frac{1}{{s}^{3} \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{6}}{r \cdot \left({s}^{2} \cdot \mathsf{PI}\left(\right)\right)}\right)} \]
              6. Applied rewrites65.6%

                \[\leadsto \left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot \color{blue}{r} \]
            6. Recombined 2 regimes into one program.
            7. Final simplification14.3%

              \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 5.000000229068525 \cdot 10^{-19}:\\ \;\;\;\;\frac{1}{\frac{r}{\mathsf{fma}\left({s}^{-2} \cdot \mathsf{fma}\left(\frac{r}{\mathsf{PI}\left(\right)}, \frac{0.06944444444444445}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right), r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \]
            8. Add Preprocessing

            Alternative 7: 14.1% accurate, 0.6× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (if (<=
                  (+
                   (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                   (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                  0.0)
               (/
                (fma
                 (/ (fma r (pow (* (* 14.4 s) (PI)) -1.0) (/ -0.16666666666666666 (PI))) s)
                 (/ r s)
                 (/ 0.25 (* (PI) s)))
                r)
               (*
                (-
                 (/ 0.06944444444444445 (* (pow s 3.0) (PI)))
                 (/ (/ (- (/ (/ 0.16666666666666666 (PI)) s) (/ 0.25 (* (PI) r))) s) r))
                r)))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\
            \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\
            
            \mathbf{else}:\\
            \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 0.0

              1. Initial program 100.0%

                \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              2. Add Preprocessing
              3. Taylor expanded in r around 0

                \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
              4. Applied rewrites4.6%

                \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
              5. Step-by-step derivation
                1. Applied rewrites4.6%

                  \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
                2. Applied rewrites8.5%

                  \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\mathsf{PI}\left(\right) \cdot \left(14.4 \cdot s\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

                if 0.0 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

                1. Initial program 96.8%

                  \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                2. Add Preprocessing
                3. Taylor expanded in r around 0

                  \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                4. Applied rewrites42.3%

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

                  \[\leadsto r \cdot \color{blue}{\left(\left(\frac{\frac{1}{4}}{{r}^{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)} + \frac{5}{72} \cdot \frac{1}{{s}^{3} \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{6}}{r \cdot \left({s}^{2} \cdot \mathsf{PI}\left(\right)\right)}\right)} \]
                6. Applied rewrites60.4%

                  \[\leadsto \left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot \color{blue}{r} \]
              6. Recombined 2 regimes into one program.
              7. Final simplification15.0%

                \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \]
              8. Add Preprocessing

              Alternative 8: 14.0% accurate, 0.6× speedup?

              \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 1.999999987845058 \cdot 10^{-8}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, t\_0\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
              (FPCore (s r)
               :precision binary32
               (let* ((t_0 (/ -0.16666666666666666 (PI))))
                 (if (<=
                      (+
                       (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                       (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                      1.999999987845058e-8)
                   (/
                    (fma
                     (/ (fma r (pow (* (* 14.4 s) (PI)) -1.0) t_0) s)
                     (/ r s)
                     (/ 0.25 (* (PI) s)))
                    r)
                   (/
                    (-
                     (/
                      (-
                       t_0
                       (/
                        (*
                         (-
                          (/ -0.06944444444444445 (PI))
                          (* (/ -0.021604938271604937 s) (/ r (PI))))
                         r)
                        s))
                      s)
                     (/ -0.25 (* (PI) r)))
                    s))))
              \begin{array}{l}
              
              \\
              \begin{array}{l}
              t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\
              \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 1.999999987845058 \cdot 10^{-8}:\\
              \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, t\_0\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\
              
              \mathbf{else}:\\
              \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
              
              
              \end{array}
              \end{array}
              
              Derivation
              1. Split input into 2 regimes
              2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 1.99999999e-8

                1. Initial program 99.7%

                  \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                2. Add Preprocessing
                3. Taylor expanded in r around 0

                  \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                4. Applied rewrites4.8%

                  \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
                5. Step-by-step derivation
                  1. Applied rewrites4.8%

                    \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
                  2. Applied rewrites8.6%

                    \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\mathsf{PI}\left(\right) \cdot \left(14.4 \cdot s\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

                  if 1.99999999e-8 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

                  1. Initial program 98.6%

                    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                  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 rewrites71.6%

                    \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
                6. Recombined 2 regimes into one program.
                7. Final simplification15.1%

                  \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 1.999999987845058 \cdot 10^{-8}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}, \frac{r}{s}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
                8. Add Preprocessing

                Alternative 9: 13.9% accurate, 0.6× speedup?

                \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
                (FPCore (s r)
                 :precision binary32
                 (let* ((t_0 (/ -0.16666666666666666 (PI))))
                   (if (<=
                        (+
                         (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                         (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                        4.999999987376214e-7)
                     (/
                      (fma
                       (/ (/ (fma r (pow (* (* 14.4 s) (PI)) -1.0) t_0) s) s)
                       r
                       (/ 0.25 (* (PI) s)))
                      r)
                     (/
                      (-
                       (/
                        (-
                         t_0
                         (/
                          (*
                           (-
                            (/ -0.06944444444444445 (PI))
                            (* (/ -0.021604938271604937 s) (/ r (PI))))
                           r)
                          s))
                        s)
                       (/ -0.25 (* (PI) r)))
                      s))))
                \begin{array}{l}
                
                \\
                \begin{array}{l}
                t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\
                \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\
                \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\
                
                \mathbf{else}:\\
                \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
                
                
                \end{array}
                \end{array}
                
                Derivation
                1. Split input into 2 regimes
                2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 4.99999999e-7

                  1. Initial program 99.7%

                    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                  2. Add Preprocessing
                  3. Taylor expanded in r around 0

                    \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                  4. Applied rewrites4.9%

                    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
                  5. Step-by-step derivation
                    1. Applied rewrites7.9%

                      \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\mathsf{PI}\left(\right) \cdot \left(s \cdot 14.4\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

                    if 4.99999999e-7 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

                    1. Initial program 98.5%

                      \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                    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 rewrites74.2%

                      \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
                  6. Recombined 2 regimes into one program.
                  7. Final simplification14.7%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 4.999999987376214 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
                  8. Add Preprocessing

                  Alternative 10: 14.0% accurate, 0.6× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 9.999999960041972 \cdot 10^{-12}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
                  (FPCore (s r)
                   :precision binary32
                   (let* ((t_0 (/ -0.16666666666666666 (PI))))
                     (if (<=
                          (+
                           (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))
                           (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r)))
                          9.999999960041972e-12)
                       (/
                        (fma
                         (/ (/ (fma r (pow (* (* 14.4 (PI)) s) -1.0) t_0) s) s)
                         r
                         (/ 0.25 (* (PI) s)))
                        r)
                       (/
                        (-
                         (/
                          (-
                           t_0
                           (/
                            (*
                             (-
                              (/ -0.06944444444444445 (PI))
                              (* (/ -0.021604938271604937 s) (/ r (PI))))
                             r)
                            s))
                          s)
                         (/ -0.25 (* (PI) r)))
                        s))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\
                  \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 9.999999960041972 \cdot 10^{-12}:\\
                  \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 9.99999996e-12

                    1. Initial program 99.8%

                      \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                    2. Add Preprocessing
                    3. Taylor expanded in r around 0

                      \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                    4. Applied rewrites4.7%

                      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
                    5. Step-by-step derivation
                      1. Applied rewrites4.7%

                        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(-0.06944444444444445 \cdot \frac{1}{-s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
                      2. Step-by-step derivation
                        1. Applied rewrites8.1%

                          \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(s \cdot \left(\mathsf{PI}\left(\right) \cdot 14.4\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

                        if 9.99999996e-12 < (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r)))

                        1. Initial program 98.2%

                          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        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 rewrites66.9%

                          \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
                      3. Recombined 2 regimes into one program.
                      4. Final simplification14.6%

                        \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 9.999999960041972 \cdot 10^{-12}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
                      5. Add Preprocessing

                      Alternative 11: 99.5% accurate, 1.0× speedup?

                      \[\begin{array}{l} \\ \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
                      (FPCore (s r)
                       :precision binary32
                       (+
                        (/ (* (exp (/ r (* -3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
                        (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))))
                      \begin{array}{l}
                      
                      \\
                      \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
                      \end{array}
                      
                      Derivation
                      1. Initial program 99.6%

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

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

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

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

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

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

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

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

                          \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{r}{\color{blue}{\left(\mathsf{neg}\left(3\right)\right) \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        9. metadata-eval99.6

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

                        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\color{blue}{\frac{r}{-3 \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                      5. Final simplification99.6%

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

                      Alternative 12: 99.5% accurate, 1.0× speedup?

                      \[\begin{array}{l} \\ \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
                      (FPCore (s r)
                       :precision binary32
                       (+
                        (/ (* (exp (/ r (* -3.0 s))) 0.75) (* (* (* (PI) s) r) 6.0))
                        (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))))
                      \begin{array}{l}
                      
                      \\
                      \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
                      \end{array}
                      
                      Derivation
                      1. Initial program 99.6%

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

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

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

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

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

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

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

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

                          \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{r}{\color{blue}{\left(\mathsf{neg}\left(3\right)\right) \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        9. metadata-eval99.6

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

                        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\color{blue}{\frac{r}{-3 \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                      5. Taylor expanded in s around 0

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

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

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

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

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

                          \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{r}{-3 \cdot s}}}{6 \cdot \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot s\right)} \cdot r\right)} \]
                        6. lower-PI.f3299.5

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

                        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{r}{-3 \cdot s}}}{\color{blue}{6 \cdot \left(\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r\right)}} \]
                      8. Final simplification99.5%

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

                      Alternative 13: 16.1% accurate, 1.4× speedup?

                      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 4.999999980020986 \cdot 10^{-13}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}\right)}^{-1} \cdot \frac{1}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \end{array} \]
                      (FPCore (s r)
                       :precision binary32
                       (if (<= s 4.999999980020986e-13)
                         (/
                          (fma
                           (/
                            (*
                             (pow
                              (/
                               1.0
                               (fma
                                (/ 0.06944444444444445 (PI))
                                (/ r s)
                                (/ -0.16666666666666666 (PI))))
                              -1.0)
                             (/ 1.0 s))
                            s)
                           r
                           (/ 0.25 (* (PI) s)))
                          r)
                         (*
                          (-
                           (/ 0.06944444444444445 (* (pow s 3.0) (PI)))
                           (/ (/ (- (/ (/ 0.16666666666666666 (PI)) s) (/ 0.25 (* (PI) r))) s) r))
                          r)))
                      \begin{array}{l}
                      
                      \\
                      \begin{array}{l}
                      \mathbf{if}\;s \leq 4.999999980020986 \cdot 10^{-13}:\\
                      \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}\right)}^{-1} \cdot \frac{1}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 2 regimes
                      2. if s < 4.99999998e-13

                        1. Initial program 100.0%

                          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        2. Add Preprocessing
                        3. Taylor expanded in r around 0

                          \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                        4. Applied rewrites4.5%

                          \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
                        5. Step-by-step derivation
                          1. Applied rewrites8.4%

                            \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{1}{s} \cdot {\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}\right)}^{-1}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

                          if 4.99999998e-13 < s

                          1. Initial program 98.9%

                            \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                          2. Add Preprocessing
                          3. Taylor expanded in r around 0

                            \[\leadsto \color{blue}{\frac{r \cdot \left(\frac{5}{72} \cdot \frac{r}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{{s}^{2} \cdot \mathsf{PI}\left(\right)}\right) + \frac{1}{4} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{r}} \]
                          4. Applied rewrites18.9%

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

                            \[\leadsto r \cdot \color{blue}{\left(\left(\frac{\frac{1}{4}}{{r}^{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)} + \frac{5}{72} \cdot \frac{1}{{s}^{3} \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{6}}{r \cdot \left({s}^{2} \cdot \mathsf{PI}\left(\right)\right)}\right)} \]
                          6. Applied rewrites23.2%

                            \[\leadsto \left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot \color{blue}{r} \]
                        6. Recombined 2 regimes into one program.
                        7. Final simplification15.5%

                          \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 4.999999980020986 \cdot 10^{-13}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}\right)}^{-1} \cdot \frac{1}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{0.06944444444444445}{{s}^{3} \cdot \mathsf{PI}\left(\right)} - \frac{\frac{\frac{\frac{0.16666666666666666}{\mathsf{PI}\left(\right)}}{s} - \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}}{r}\right) \cdot r\\ \end{array} \]
                        8. Add Preprocessing

                        Alternative 14: 9.6% accurate, 2.6× speedup?

                        \[\begin{array}{l} \\ \frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \end{array} \]
                        (FPCore (s r)
                         :precision binary32
                         (/
                          (-
                           (/
                            (-
                             (/ -0.16666666666666666 (PI))
                             (/
                              (*
                               (-
                                (/ -0.06944444444444445 (PI))
                                (* (/ -0.021604938271604937 s) (/ r (PI))))
                               r)
                              s))
                            s)
                           (/ -0.25 (* (PI) r)))
                          s))
                        \begin{array}{l}
                        
                        \\
                        \frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
                        \end{array}
                        
                        Derivation
                        1. Initial program 99.6%

                          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        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 rewrites10.6%

                          \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
                        5. Final simplification10.6%

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

                        Alternative 15: 5.8% accurate, 3.7× speedup?

                        \[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \end{array} \]
                        (FPCore (s r)
                         :precision binary32
                         (/
                          (-
                           (/
                            (fma (/ 0.06944444444444445 (PI)) (/ r s) (/ -0.16666666666666666 (PI)))
                            s)
                           (/ -0.25 (* (PI) r)))
                          s))
                        \begin{array}{l}
                        
                        \\
                        \frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
                        \end{array}
                        
                        Derivation
                        1. Initial program 99.6%

                          \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                        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. associate-/l/N/A

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

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

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

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

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

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

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

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

                            \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                          10. lower-PI.f329.8

                            \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                        5. Applied rewrites9.8%

                          \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                        6. Step-by-step derivation
                          1. Applied rewrites9.8%

                            \[\leadsto \frac{0.25}{\color{blue}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}} \]
                          2. Step-by-step derivation
                            1. Applied rewrites9.8%

                              \[\leadsto \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot \color{blue}{s}} \]
                            2. Taylor expanded in s around inf

                              \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
                            3. Applied rewrites9.9%

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

                            Alternative 16: 8.9% accurate, 6.3× speedup?

                            \[\begin{array}{l} \\ \frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right) \cdot s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \end{array} \]
                            (FPCore (s r)
                             :precision binary32
                             (/ (- (/ -0.16666666666666666 (* (PI) s)) (/ -0.25 (* (PI) r))) s))
                            \begin{array}{l}
                            
                            \\
                            \frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right) \cdot s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
                            \end{array}
                            
                            Derivation
                            1. Initial program 99.6%

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

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

                                \[\leadsto \color{blue}{\frac{\frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)} - \frac{1}{6} \cdot \frac{1}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
                            5. Applied rewrites9.9%

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

                            Alternative 17: 9.0% accurate, 10.6× speedup?

                            \[\begin{array}{l} \\ \frac{\frac{0.25}{\mathsf{PI}\left(\right)}}{r \cdot s} \end{array} \]
                            (FPCore (s r) :precision binary32 (/ (/ 0.25 (PI)) (* r s)))
                            \begin{array}{l}
                            
                            \\
                            \frac{\frac{0.25}{\mathsf{PI}\left(\right)}}{r \cdot s}
                            \end{array}
                            
                            Derivation
                            1. Initial program 99.6%

                              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                            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. associate-/l/N/A

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

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

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

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

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

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

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

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

                                \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                              10. lower-PI.f329.8

                                \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                            5. Applied rewrites9.8%

                              \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                            6. Step-by-step derivation
                              1. Applied rewrites9.8%

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

                              Alternative 18: 9.0% accurate, 10.6× speedup?

                              \[\begin{array}{l} \\ \frac{\frac{0.25}{r}}{\mathsf{PI}\left(\right) \cdot s} \end{array} \]
                              (FPCore (s r) :precision binary32 (/ (/ 0.25 r) (* (PI) s)))
                              \begin{array}{l}
                              
                              \\
                              \frac{\frac{0.25}{r}}{\mathsf{PI}\left(\right) \cdot s}
                              \end{array}
                              
                              Derivation
                              1. Initial program 99.6%

                                \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                              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. associate-/l/N/A

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

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

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

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

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

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

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

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

                                  \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                                10. lower-PI.f329.8

                                  \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                              5. Applied rewrites9.8%

                                \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                              6. Step-by-step derivation
                                1. Applied rewrites9.8%

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

                                Alternative 19: 9.0% accurate, 11.0× speedup?

                                \[\begin{array}{l} \\ \frac{1}{\left(4 \cdot \left(\mathsf{PI}\left(\right) \cdot s\right)\right) \cdot r} \end{array} \]
                                (FPCore (s r) :precision binary32 (/ 1.0 (* (* 4.0 (* (PI) s)) r)))
                                \begin{array}{l}
                                
                                \\
                                \frac{1}{\left(4 \cdot \left(\mathsf{PI}\left(\right) \cdot s\right)\right) \cdot r}
                                \end{array}
                                
                                Derivation
                                1. Initial program 99.6%

                                  \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                                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. associate-/l/N/A

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

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

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

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

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

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

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

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

                                    \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                                  10. lower-PI.f329.8

                                    \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                                5. Applied rewrites9.8%

                                  \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                                6. Step-by-step derivation
                                  1. Applied rewrites9.8%

                                    \[\leadsto \frac{1}{\color{blue}{\left(\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot 4\right) \cdot r}} \]
                                  2. Final simplification9.8%

                                    \[\leadsto \frac{1}{\left(4 \cdot \left(\mathsf{PI}\left(\right) \cdot s\right)\right) \cdot r} \]
                                  3. Add Preprocessing

                                  Alternative 20: 9.0% accurate, 13.5× speedup?

                                  \[\begin{array}{l} \\ \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r} \end{array} \]
                                  (FPCore (s r) :precision binary32 (/ 0.25 (* (* (PI) s) r)))
                                  \begin{array}{l}
                                  
                                  \\
                                  \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 99.6%

                                    \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                                  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. associate-/l/N/A

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

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

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

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

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

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

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

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

                                      \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                                    10. lower-PI.f329.8

                                      \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                                  5. Applied rewrites9.8%

                                    \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                                  6. Step-by-step derivation
                                    1. Applied rewrites9.8%

                                      \[\leadsto \frac{0.25}{\color{blue}{\left(r \cdot s\right) \cdot \mathsf{PI}\left(\right)}} \]
                                    2. Step-by-step derivation
                                      1. Applied rewrites9.8%

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

                                      Alternative 21: 9.0% 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 99.6%

                                        \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                                      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. associate-/l/N/A

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

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

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

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

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

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

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

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

                                          \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                                        10. lower-PI.f329.8

                                          \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                                      5. Applied rewrites9.8%

                                        \[\leadsto \color{blue}{\frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot s}}{r}} \]
                                      6. Step-by-step derivation
                                        1. Applied rewrites9.8%

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

                                        Reproduce

                                        ?
                                        herbie shell --seed 2024268 
                                        (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))))