Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.6% → 99.6%
Time: 17.6s
Alternatives: 16
Speedup: N/A×

Specification

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

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

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 16 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 99.6% accurate, 1.0× speedup?

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

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

Alternative 1: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* (exp (/ r (* -3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
  (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) r) s))))
\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(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\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. Step-by-step derivation
    1. lift-*.f32N/A

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

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

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    6. lower-*.f3299.7

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot s} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    7. lift-*.f32N/A

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)}\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    9. lower-*.f3299.7

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{r}{\color{blue}{\left(\mathsf{neg}\left(3\right)\right) \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    9. metadata-eval99.7

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

    \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(r \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) \cdot s} + \frac{0.75 \cdot e^{\color{blue}{\frac{r}{-3 \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
  7. Final simplification99.7%

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

Alternative 2: 17.4% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), \log \mathsf{E}\left(\right), \frac{r}{s} \cdot \left(-0.4166666666666667 \cdot \mathsf{PI}\left(\right)\right)\right)}{\left(-6 \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}{s} \cdot \frac{1}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<=
      (+
       (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
       (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) s) r)))
      2.0000000233721948e-7)
   (/
    (fma
     (*
      (/
       (/
        (fma (PI) (log (E)) (* (/ r s) (* -0.4166666666666667 (PI))))
        (* (* -6.0 (PI)) (PI)))
       s)
      (/ 1.0 s))
     r
     (/ 0.25 (* (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}{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(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), \log \mathsf{E}\left(\right), \frac{r}{s} \cdot \left(-0.4166666666666667 \cdot \mathsf{PI}\left(\right)\right)\right)}{\left(-6 \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}{s} \cdot \frac{1}{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}
\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))) < 2.00000002e-7

    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%

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{-s} \cdot \frac{1}{-s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
      2. Step-by-step derivation
        1. Applied rewrites12.4%

          \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{r}{s} \cdot 0.06944444444444445, \mathsf{PI}\left(\right) \cdot -6, \mathsf{PI}\left(\right)\right)}{\mathsf{PI}\left(\right) \cdot \left(\mathsf{PI}\left(\right) \cdot -6\right)}}{-s} \cdot \frac{1}{-s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]
        2. Step-by-step derivation
          1. Applied rewrites11.7%

            \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), \log \mathsf{E}\left(\right), \left(-0.4166666666666667 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{r}{s}\right)}{\mathsf{PI}\left(\right) \cdot \left(\mathsf{PI}\left(\right) \cdot -6\right)}}{-s} \cdot \frac{1}{-s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r} \]

          if 2.00000002e-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 98.2%

            \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
          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 rewrites75.2%

            \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
        3. Recombined 2 regimes into one program.
        4. Final simplification19.0%

          \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), \log \mathsf{E}\left(\right), \frac{r}{s} \cdot \left(-0.4166666666666667 \cdot \mathsf{PI}\left(\right)\right)\right)}{\left(-6 \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}{s} \cdot \frac{1}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
        5. Add Preprocessing

        Alternative 3: 14.1% accurate, 0.6× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(0.06944444444444445, {\left(\frac{\mathsf{PI}\left(\right)}{r} \cdot s\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
        (FPCore (s r)
         :precision binary32
         (let* ((t_0 (/ -0.16666666666666666 (PI))))
           (if (<=
                (+
                 (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
                 (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) s) r)))
                2.0000000233721948e-7)
             (/
              (fma
               (/ (/ (fma 0.06944444444444445 (pow (* (/ (PI) r) 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}{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(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\
        \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(0.06944444444444445, {\left(\frac{\mathsf{PI}\left(\right)}{r} \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))) < 2.00000002e-7

          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 rewrites9.0%

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

            if 2.00000002e-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 98.2%

              \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
            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 rewrites75.2%

              \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
          6. Recombined 2 regimes into one program.
          7. Final simplification16.2%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(0.06944444444444445, {\left(\frac{\mathsf{PI}\left(\right)}{r} \cdot s\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
          8. Add Preprocessing

          Alternative 4: 14.3% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, t\_0\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
          (FPCore (s r)
           :precision binary32
           (let* ((t_0 (/ -0.16666666666666666 (PI))))
             (if (<=
                  (+
                   (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
                   (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) s) r)))
                  2.0000000233721948e-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}{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(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \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))) < 2.00000002e-7

            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 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 2.00000002e-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 98.2%

                \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              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 rewrites75.2%

                \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
            6. Recombined 2 regimes into one program.
            7. Final simplification15.3%

              \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(r, {\left(\left(14.4 \cdot s\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
            8. Add Preprocessing

            Alternative 5: 99.5% accurate, 1.0× speedup?

            \[\begin{array}{l} \\ \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot \left(6 \cdot r\right)} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (+
              (/ (* (exp (/ r (* -3.0 s))) 0.75) (* (* (PI) s) (* 6.0 r)))
              (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) r) s))))
            \begin{array}{l}
            
            \\
            \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot \left(6 \cdot r\right)} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\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. Step-by-step derivation
              1. lift-*.f32N/A

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

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

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

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              6. lower-*.f3299.7

                \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot s} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              7. lift-*.f32N/A

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)}\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              9. lower-*.f3299.7

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

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

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

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

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

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

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

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

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{r}{\color{blue}{\left(\mathsf{neg}\left(3\right)\right) \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              9. metadata-eval99.7

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

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

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

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

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

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

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

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

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

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

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

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

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

            Alternative 6: 99.5% accurate, 1.0× speedup?

            \[\begin{array}{l} \\ \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (+
              (/ (* (exp (/ r (* -3.0 s))) 0.75) (* (* (* (PI) r) s) 6.0))
              (/ (* (exp (/ (- r) s)) 0.25) (* (* (* 2.0 (PI)) r) s))))
            \begin{array}{l}
            
            \\
            \frac{e^{\frac{r}{-3 \cdot s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot r\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. Step-by-step derivation
              1. lift-*.f32N/A

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

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

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

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              6. lower-*.f3299.7

                \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\color{blue}{\left(r \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot s} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              7. lift-*.f32N/A

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)}\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              9. lower-*.f3299.7

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

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

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

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

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

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

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

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

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

                \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(r \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right) \cdot s} + \frac{\frac{3}{4} \cdot e^{\frac{r}{\color{blue}{\left(\mathsf{neg}\left(3\right)\right) \cdot s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
              9. metadata-eval99.7

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

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

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

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

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

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

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

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

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

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

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

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

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

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

            Alternative 7: 13.5% accurate, 1.4× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\\ \mathbf{if}\;s \leq 1.4999999464748726 \cdot 10^{-8}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, t\_0\right)}\right)}^{-1} \cdot \frac{1}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{t\_0 - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
            (FPCore (s r)
             :precision binary32
             (let* ((t_0 (/ -0.16666666666666666 (PI))))
               (if (<= s 1.4999999464748726e-8)
                 (/
                  (fma
                   (/
                    (*
                     (pow (/ 1.0 (fma (/ 0.06944444444444445 (PI)) (/ r s) t_0)) -1.0)
                     (/ 1.0 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}\;s \leq 1.4999999464748726 \cdot 10^{-8}:\\
            \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, t\_0\right)}\right)}^{-1} \cdot \frac{1}{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 s < 1.49999995e-8

              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 rewrites4.3%

                \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{s}, \frac{r}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}} \]
              5. 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 1.49999995e-8 < s

                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 rewrites34.1%

                  \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
              6. Recombined 2 regimes into one program.
              7. Final simplification14.9%

                \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 1.4999999464748726 \cdot 10^{-8}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\frac{{\left(\frac{1}{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}\right)}^{-1} \cdot \frac{1}{s}}{s}, r, \frac{0.25}{\mathsf{PI}\left(\right) \cdot s}\right)}{r}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
              8. Add Preprocessing

              Alternative 8: 9.7% 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 rewrites11.3%

                \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
              5. Final simplification11.3%

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

              Alternative 9: 6.5% accurate, 3.7× speedup?

              \[\begin{array}{l} \\ \frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot r} + \frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{s} \end{array} \]
              (FPCore (s r)
               :precision binary32
               (/
                (+
                 (/ 0.25 (* (PI) r))
                 (/
                  (fma (/ 0.06944444444444445 (PI)) (/ r s) (/ -0.16666666666666666 (PI)))
                  s))
                s))
              \begin{array}{l}
              
              \\
              \frac{\frac{0.25}{\mathsf{PI}\left(\right) \cdot r} + \frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s}}{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. Taylor expanded in s around inf

                \[\leadsto \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \left(\frac{1}{16} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right)\right) - \frac{\frac{1}{6}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
              7. Applied rewrites10.2%

                \[\leadsto \color{blue}{\frac{\frac{\mathsf{fma}\left(\frac{0.06944444444444445}{\mathsf{PI}\left(\right)}, \frac{r}{s}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s} + \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
              8. Final simplification10.2%

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

              Alternative 10: 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 rewrites10.2%

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

              Alternative 11: 9.0% accurate, 6.3× speedup?

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

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

                    \[\leadsto \frac{0.25}{\sqrt{\mathsf{PI}\left(\right)} \cdot \color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)} \cdot \left(s \cdot r\right)\right)}} \]
                  2. Final simplification9.8%

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

                  Alternative 12: 9.0% accurate, 9.0× speedup?

                  \[\begin{array}{l} \\ \frac{1}{\mathsf{PI}\left(\right)} \cdot \frac{0.25}{s \cdot r} \end{array} \]
                  (FPCore (s r) :precision binary32 (* (/ 1.0 (PI)) (/ 0.25 (* s r))))
                  \begin{array}{l}
                  
                  \\
                  \frac{1}{\mathsf{PI}\left(\right)} \cdot \frac{0.25}{s \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%

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

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

                          \[\leadsto \frac{0.25}{s \cdot r} \cdot \color{blue}{\frac{1}{\mathsf{PI}\left(\right)}} \]
                        2. Final simplification9.8%

                          \[\leadsto \frac{1}{\mathsf{PI}\left(\right)} \cdot \frac{0.25}{s \cdot r} \]
                        3. Add Preprocessing

                        Alternative 13: 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 14: 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%

                              \[\leadsto \frac{0.25}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}} \]
                            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 15: 9.0% accurate, 13.5× speedup?

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

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

                                Alternative 16: 9.0% accurate, 13.5× speedup?

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

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

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

                                    Reproduce

                                    ?
                                    herbie shell --seed 2024270 
                                    (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))))