Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.5% → 99.5%
Time: 13.9s
Alternatives: 15
Speedup: 1.0×

Specification

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

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

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 15 alternatives:

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

Initial Program: 99.5% accurate, 1.0× speedup?

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

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

Alternative 1: 99.5% accurate, 1.0× speedup?

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

\\
\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} - \frac{\frac{-1}{e^{\frac{r}{s}}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
\end{array}
Derivation
  1. Initial program 99.8%

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

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

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

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} \]
    6. lower-*.f3299.8

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

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

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

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

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

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

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot \frac{1}{\color{blue}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
    8. lower-/.f3299.8

      \[\leadsto \frac{0.25 \cdot \color{blue}{\frac{1}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
  6. Applied rewrites99.8%

    \[\leadsto \frac{0.25 \cdot \color{blue}{\frac{1}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
  7. Final simplification99.8%

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

Alternative 2: 89.6% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<=
      (+
       (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
       (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r)))
      2.0000000233721948e-7)
   (fma
    (/ (fma -0.3333333333333333 (/ r s) 1.0) (- r))
    (/ -0.125 (* (PI) s))
    (/ (/ (/ (/ 0.125 s) (PI)) r) (exp (/ r s))))
   (/
    (-
     (/
      (-
       (/ -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(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 2.00000002e-7

    1. Initial program 99.9%

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

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

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

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

        \[\leadsto \frac{\frac{\frac{\frac{\frac{1}{8}}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{\frac{-1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{3}, \frac{r}{s}, 1\right)}}{r} \]
      3. lower-/.f324.6

        \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\mathsf{fma}\left(-0.3333333333333333, \color{blue}{\frac{r}{s}}, 1\right)}{r} \]
    6. Applied rewrites4.6%

      \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}}{r} \]
    7. Step-by-step derivation
      1. Applied rewrites4.6%

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

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

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

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

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

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

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

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

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

      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 97.6%

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

        \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
    8. Recombined 2 regimes into one program.
    9. Final simplification90.6%

      \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
    10. Add Preprocessing

    Alternative 3: 13.6% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{-r}{s}}\\ t_1 := \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r\\ \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{t\_0 \cdot 0.25}{t\_1} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(t\_0, \frac{1}{t\_1} \cdot 0.25, \frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{r} \cdot \frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (let* ((t_0 (exp (/ (- r) s))) (t_1 (* (* (* (PI) 2.0) s) r)))
       (if (<=
            (+
             (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) s) r))
             (/ (* t_0 0.25) t_1))
            2.0000000233721948e-7)
         (fma
          t_0
          (* (/ 1.0 t_1) 0.25)
          (* (/ (fma -0.3333333333333333 (/ r s) 1.0) r) (/ (/ 0.125 s) (PI))))
         (/
          (-
           (/
            (-
             (/ -0.16666666666666666 (PI))
             (/
              (*
               (-
                (/ -0.06944444444444445 (PI))
                (* (/ -0.021604938271604937 s) (/ r (PI))))
               r)
              s))
            s)
           (/ -0.25 (* (PI) r)))
          s))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := e^{\frac{-r}{s}}\\
    t_1 := \left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r\\
    \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{t\_0 \cdot 0.25}{t\_1} \leq 2.0000000233721948 \cdot 10^{-7}:\\
    \;\;\;\;\mathsf{fma}\left(t\_0, \frac{1}{t\_1} \cdot 0.25, \frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{r} \cdot \frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 2.00000002e-7

      1. Initial program 99.9%

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

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

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

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

          \[\leadsto \frac{\frac{\frac{\frac{\frac{1}{8}}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{\frac{-1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{3}, \frac{r}{s}, 1\right)}}{r} \]
        3. lower-/.f324.6

          \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\mathsf{fma}\left(-0.3333333333333333, \color{blue}{\frac{r}{s}}, 1\right)}{r} \]
      6. Applied rewrites4.6%

        \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}}{r} \]
      7. Applied rewrites9.3%

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

      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 97.6%

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

        \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
    3. Recombined 2 regimes into one program.
    4. Final simplification13.1%

      \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \leq 2.0000000233721948 \cdot 10^{-7}:\\ \;\;\;\;\mathsf{fma}\left(e^{\frac{-r}{s}}, \frac{1}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \cdot 0.25, \frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{r} \cdot \frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{-0.021604938271604937}{s} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right) \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}\\ \end{array} \]
    5. Add Preprocessing

    Alternative 4: 99.5% accurate, 1.0× speedup?

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} \]
      6. lower-*.f3299.8

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

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

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

    Alternative 5: 99.5% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}} - e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}}{r} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (/
      (-
       (/ (/ (/ 0.125 s) (PI)) (exp (/ r s)))
       (* (exp (* -0.3333333333333333 (/ r s))) (/ -0.125 (* (PI) s))))
      r))
    \begin{array}{l}
    
    \\
    \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}} - e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}}{r}
    \end{array}
    
    Derivation
    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. Step-by-step derivation
      1. lift-*.f32N/A

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} \]
      6. lower-*.f3299.8

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot \frac{1}{\color{blue}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      8. lower-/.f3299.8

        \[\leadsto \frac{0.25 \cdot \color{blue}{\frac{1}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
    6. Applied rewrites99.8%

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot {\mathsf{E}\left(\right)}^{\color{blue}{\left(\frac{\mathsf{neg}\left(r\right)}{s}\right)}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      14. lift-neg.f3299.8

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

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

      \[\leadsto \color{blue}{\frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot e^{-0.3333333333333333 \cdot \frac{r}{s}}}{r}} \]
    10. Final simplification99.8%

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

    Alternative 6: 99.5% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \frac{e^{\frac{-0.3333333333333333 \cdot r}{s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (+
      (/ (* (exp (/ (* -0.3333333333333333 r) s)) 0.75) (* (* (* 6.0 (PI)) r) s))
      (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))))
    \begin{array}{l}
    
    \\
    \frac{e^{\frac{-0.3333333333333333 \cdot r}{s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
    \end{array}
    
    Derivation
    1. Initial program 99.8%

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} \]
      6. lower-*.f3299.8

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\color{blue}{\frac{\frac{-1}{3} \cdot r}{s}}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      9. lower-*.f3299.8

        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{\color{blue}{-0.3333333333333333 \cdot r}}{s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
    6. Applied rewrites99.8%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\color{blue}{\frac{-0.3333333333333333 \cdot r}{s}}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
    7. Final simplification99.8%

      \[\leadsto \frac{e^{\frac{-0.3333333333333333 \cdot r}{s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \]
    8. Add Preprocessing

    Alternative 7: 99.5% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \frac{e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot 0.75}{\left(\left(s \cdot r\right) \cdot 6\right) \cdot \mathsf{PI}\left(\right)} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (+
      (/ (* (exp (* -0.3333333333333333 (/ r s))) 0.75) (* (* (* s r) 6.0) (PI)))
      (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))))
    \begin{array}{l}
    
    \\
    \frac{e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot 0.75}{\left(\left(s \cdot r\right) \cdot 6\right) \cdot \mathsf{PI}\left(\right)} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
    \end{array}
    
    Derivation
    1. Initial program 99.8%

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\color{blue}{\frac{-1}{3}} \cdot \frac{r}{s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      8. lower-/.f3299.8

        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    4. Applied rewrites99.8%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    5. Step-by-step derivation
      1. lift-*.f32N/A

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}}}{\mathsf{PI}\left(\right) \cdot \color{blue}{\left(6 \cdot \left(s \cdot r\right)\right)}} \]
      9. lower-*.f3299.8

        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \frac{r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(6 \cdot \color{blue}{\left(s \cdot r\right)}\right)} \]
    6. Applied rewrites99.8%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \frac{r}{s}}}{\color{blue}{\mathsf{PI}\left(\right) \cdot \left(6 \cdot \left(s \cdot r\right)\right)}} \]
    7. Final simplification99.8%

      \[\leadsto \frac{e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot 0.75}{\left(\left(s \cdot r\right) \cdot 6\right) \cdot \mathsf{PI}\left(\right)} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \]
    8. Add Preprocessing

    Alternative 8: 99.5% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \frac{e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (+
      (/ (* (exp (* -0.3333333333333333 (/ r s))) 0.75) (* (* (* (PI) r) s) 6.0))
      (/ (* (exp (/ (- r) s)) 0.25) (* (* (* (PI) 2.0) s) r))))
    \begin{array}{l}
    
    \\
    \frac{e^{-0.3333333333333333 \cdot \frac{r}{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(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}
    \end{array}
    
    Derivation
    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. Step-by-step derivation
      1. lift-/.f32N/A

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\color{blue}{\frac{-1}{3}} \cdot \frac{r}{s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
      8. lower-/.f3299.8

        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \color{blue}{\frac{r}{s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    4. Applied rewrites99.8%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\color{blue}{-0.3333333333333333 \cdot \frac{r}{s}}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
    5. Step-by-step derivation
      1. lift-*.f32N/A

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-1}{3} \cdot \frac{r}{s}}}{6 \cdot \color{blue}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right)}} \]
      14. lower-*.f3299.8

        \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \frac{r}{s}}}{6 \cdot \color{blue}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right)}} \]
    6. Applied rewrites99.8%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{-0.3333333333333333 \cdot \frac{r}{s}}}{\color{blue}{6 \cdot \left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right)}} \]
    7. Final simplification99.8%

      \[\leadsto \frac{e^{-0.3333333333333333 \cdot \frac{r}{s}} \cdot 0.75}{\left(\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s\right) \cdot 6} + \frac{e^{\frac{-r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r} \]
    8. Add Preprocessing

    Alternative 9: 88.5% accurate, 1.2× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 2.000000047484456 \cdot 10^{-33}:\\ \;\;\;\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} - \frac{\frac{-1}{1 - \frac{-0.5 \cdot \left(\frac{r}{s} \cdot r\right) - r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\ \end{array} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (if (<= s 2.000000047484456e-33)
       (-
        (/ (* (exp (/ (- r) (* 3.0 s))) 0.75) (* (* (* 6.0 (PI)) r) s))
        (/
         (* (/ -1.0 (- 1.0 (/ (- (* -0.5 (* (/ r s) r)) r) s))) 0.25)
         (* (* (* (PI) 2.0) s) r)))
       (fma
        (/ (fma -0.3333333333333333 (/ r s) 1.0) (- r))
        (/ -0.125 (* (PI) s))
        (/ (/ (/ (/ 0.125 s) (PI)) r) (exp (/ r s))))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;s \leq 2.000000047484456 \cdot 10^{-33}:\\
    \;\;\;\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} - \frac{\frac{-1}{1 - \frac{-0.5 \cdot \left(\frac{r}{s} \cdot r\right) - r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}\\
    
    \mathbf{else}:\\
    \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if s < 2.00000005e-33

      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. Step-by-step derivation
        1. lift-*.f32N/A

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

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

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

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

          \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s}} \]
        6. lower-*.f32100.0

          \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\color{blue}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot s} \]
      4. Applied rewrites100.0%

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

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

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

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

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

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

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

          \[\leadsto \frac{\frac{1}{4} \cdot \frac{1}{\color{blue}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
        8. lower-/.f32100.0

          \[\leadsto \frac{0.25 \cdot \color{blue}{\frac{1}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      6. Applied rewrites100.0%

        \[\leadsto \frac{0.25 \cdot \color{blue}{\frac{1}{e^{\frac{r}{s}}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      7. Taylor expanded in s around -inf

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

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

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

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \frac{\frac{1}{4} \cdot \frac{1}{1 - \frac{\color{blue}{\frac{{r}^{2}}{s} \cdot \frac{-1}{2}} - r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
        15. unpow2N/A

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

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

          \[\leadsto \frac{\frac{1}{4} \cdot \frac{1}{1 - \frac{\color{blue}{\left(r \cdot \frac{r}{s}\right)} \cdot \frac{-1}{2} - r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
        18. lower-/.f32100.0

          \[\leadsto \frac{0.25 \cdot \frac{1}{1 - \frac{\left(r \cdot \color{blue}{\frac{r}{s}}\right) \cdot -0.5 - r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]
      9. Applied rewrites100.0%

        \[\leadsto \frac{0.25 \cdot \frac{1}{\color{blue}{1 - \frac{\left(r \cdot \frac{r}{s}\right) \cdot -0.5 - r}{s}}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(r \cdot \left(6 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot s} \]

      if 2.00000005e-33 < s

      1. Initial program 99.7%

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

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

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

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

          \[\leadsto \frac{\frac{\frac{\frac{\frac{1}{8}}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{\frac{-1}{8}}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{3}, \frac{r}{s}, 1\right)}}{r} \]
        3. lower-/.f325.8

          \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\mathsf{fma}\left(-0.3333333333333333, \color{blue}{\frac{r}{s}}, 1\right)}{r} \]
      6. Applied rewrites5.3%

        \[\leadsto \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r} - \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{\color{blue}{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}}{r} \]
      7. Step-by-step derivation
        1. Applied rewrites5.6%

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

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

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

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

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

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

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

            \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{neg}\left(\frac{\mathsf{fma}\left(-r, \frac{\frac{1}{3}}{s}, 1\right)}{r}\right), \frac{\frac{-1}{8}}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{\frac{1}{8}}{s}}{\mathsf{PI}\left(\right)}}{e^{\frac{r}{s}}}}{r}\right)} \]
        3. Applied rewrites92.6%

          \[\leadsto \color{blue}{\mathsf{fma}\left(-\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)} \]
      8. Recombined 2 regimes into one program.
      9. Final simplification93.9%

        \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 2.000000047484456 \cdot 10^{-33}:\\ \;\;\;\;\frac{e^{\frac{-r}{3 \cdot s}} \cdot 0.75}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot r\right) \cdot s} - \frac{\frac{-1}{1 - \frac{-0.5 \cdot \left(\frac{r}{s} \cdot r\right) - r}{s}} \cdot 0.25}{\left(\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot s\right) \cdot r}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-0.3333333333333333, \frac{r}{s}, 1\right)}{-r}, \frac{-0.125}{\mathsf{PI}\left(\right) \cdot s}, \frac{\frac{\frac{\frac{0.125}{s}}{\mathsf{PI}\left(\right)}}{r}}{e^{\frac{r}{s}}}\right)\\ \end{array} \]
      10. Add Preprocessing

      Alternative 10: 6.3% accurate, 3.3× speedup?

      \[\begin{array}{l} \\ \frac{\frac{\frac{-0.16666666666666666 - \mathsf{fma}\left(\frac{0.021604938271604937}{s}, r, -0.06944444444444445\right) \cdot \frac{r}{s}}{\mathsf{PI}\left(\right)}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \end{array} \]
      (FPCore (s r)
       :precision binary32
       (/
        (-
         (/
          (/
           (-
            -0.16666666666666666
            (* (fma (/ 0.021604938271604937 s) r -0.06944444444444445) (/ r s)))
           (PI))
          s)
         (/ -0.25 (* (PI) r)))
        s))
      \begin{array}{l}
      
      \\
      \frac{\frac{\frac{-0.16666666666666666 - \mathsf{fma}\left(\frac{0.021604938271604937}{s}, r, -0.06944444444444445\right) \cdot \frac{r}{s}}{\mathsf{PI}\left(\right)}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
      \end{array}
      
      Derivation
      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 s around -inf

        \[\leadsto \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{48} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)} + \frac{-1}{1296} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)}}{s} + \left(\frac{-1}{16} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right)}{s} - \frac{1}{6} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
      4. Applied rewrites7.5%

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

          \[\leadsto \frac{1}{s} \cdot \color{blue}{\left(\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{-0.06944444444444445 - \frac{-0.021604938271604937}{s} \cdot r}{\mathsf{PI}\left(\right)} \cdot \frac{r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}\right)} \]
        2. Step-by-step derivation
          1. Applied rewrites6.3%

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

          Alternative 11: 10.0% accurate, 3.6× speedup?

          \[\begin{array}{l} \\ \frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \end{array} \]
          (FPCore (s r)
           :precision binary32
           (/
            (-
             (/
              (- (/ -0.16666666666666666 (PI)) (/ (* (/ -0.06944444444444445 (PI)) r) s))
              s)
             (/ -0.25 (* (PI) r)))
            s))
          \begin{array}{l}
          
          \\
          \frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} \cdot r}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
          \end{array}
          
          Derivation
          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 s around -inf

            \[\leadsto \color{blue}{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{48} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)} + \frac{-1}{1296} \cdot \frac{{r}^{2}}{\mathsf{PI}\left(\right)}}{s} + \left(\frac{-1}{16} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)}\right)}{s} - \frac{1}{6} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}} \]
          4. Applied rewrites7.5%

            \[\leadsto \color{blue}{\frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \left(\frac{-0.06944444444444445}{\mathsf{PI}\left(\right)} - \frac{r}{\mathsf{PI}\left(\right)} \cdot \frac{-0.021604938271604937}{s}\right)}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}} \]
          5. Taylor expanded in s around inf

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

              \[\leadsto \frac{\frac{\frac{-0.16666666666666666}{\mathsf{PI}\left(\right)} - \frac{r \cdot \frac{-0.06944444444444445}{\mathsf{PI}\left(\right)}}{s}}{s} - \frac{-0.25}{\mathsf{PI}\left(\right) \cdot r}}{s} \]
            2. Final simplification7.6%

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

            Alternative 12: 8.9% accurate, 8.7× speedup?

            \[\begin{array}{l} \\ \frac{\frac{\frac{0.25}{\mathsf{PI}\left(\right)}}{s}}{r} \end{array} \]
            (FPCore (s r) :precision binary32 (/ (/ (/ 0.25 (PI)) s) r))
            \begin{array}{l}
            
            \\
            \frac{\frac{\frac{0.25}{\mathsf{PI}\left(\right)}}{s}}{r}
            \end{array}
            
            Derivation
            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 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.f327.1

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

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

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

              Alternative 13: 8.9% accurate, 8.7× speedup?

              \[\begin{array}{l} \\ \frac{\frac{\frac{0.25}{s}}{\mathsf{PI}\left(\right)}}{r} \end{array} \]
              (FPCore (s r) :precision binary32 (/ (/ (/ 0.25 s) (PI)) r))
              \begin{array}{l}
              
              \\
              \frac{\frac{\frac{0.25}{s}}{\mathsf{PI}\left(\right)}}{r}
              \end{array}
              
              Derivation
              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 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.f327.1

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

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

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

                Alternative 14: 8.9% accurate, 10.6× speedup?

                \[\begin{array}{l} \\ \frac{\frac{0.25}{s}}{\mathsf{PI}\left(\right) \cdot r} \end{array} \]
                (FPCore (s r) :precision binary32 (/ (/ 0.25 s) (* (PI) r)))
                \begin{array}{l}
                
                \\
                \frac{\frac{0.25}{s}}{\mathsf{PI}\left(\right) \cdot r}
                \end{array}
                
                Derivation
                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 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.f327.1

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

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

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

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

                    Alternative 15: 8.9% 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 99.8%

                      \[\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \]
                    2. Add Preprocessing
                    3. Taylor expanded in 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.f327.1

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

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

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

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

                        Reproduce

                        ?
                        herbie shell --seed 2024273 
                        (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))))