Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.6% → 99.5%
Time: 10.5s
Alternatives: 16
Speedup: N/A×

Specification

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

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

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 16 alternatives:

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

Initial Program: 99.6% accurate, 1.0× speedup?

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

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

Alternative 1: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(0.125, \frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)}, 0.125 \cdot \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right) \end{array} \]
(FPCore (s r)
 :precision binary32
 (fma
  0.125
  (/ (exp (/ (- r) s)) (* (PI) (* s r)))
  (* 0.125 (/ (exp (/ (/ r -3.0) s)) (* (* (PI) s) r)))))
\begin{array}{l}

\\
\mathsf{fma}\left(0.125, \frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)}, 0.125 \cdot \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right)
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

    \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)}, 0.125 \cdot \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right)} \]
  5. Add Preprocessing

Alternative 2: 95.4% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{-r}{s}}\\ t_1 := \frac{0.25 \cdot t\_0}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\\ \mathbf{if}\;t\_1 + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.0020000000949949026:\\ \;\;\;\;\frac{t\_0 + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125\\ \mathbf{else}:\\ \;\;\;\;t\_1 + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (exp (/ (- r) s)))
        (t_1 (/ (* 0.25 t_0) (* (* (* 2.0 (PI)) s) r))))
   (if (<=
        (+ t_1 (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 (PI)) s) r)))
        0.0020000000949949026)
     (* (/ (+ t_0 (exp (/ (/ r -3.0) s))) r) 0.125)
     (+
      t_1
      (/
       (-
        (/
         (+
          (/
           (/
            (fma
             (* r (/ r s))
             0.0007716049382716049
             (* -0.006944444444444444 r))
            (PI))
           s)
          (/ 0.041666666666666664 (PI)))
         s)
        (/ 0.125 (* (PI) r)))
       (- s))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{-r}{s}}\\
t_1 := \frac{0.25 \cdot t\_0}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\\
\mathbf{if}\;t\_1 + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.0020000000949949026:\\
\;\;\;\;\frac{t\_0 + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125\\

\mathbf{else}:\\
\;\;\;\;t\_1 + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 0.00200000009

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\frac{1}{4}}{2}, \frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)}, \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\right)} \]
    4. Applied rewrites99.7%

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

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

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

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

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

        \[\leadsto \color{blue}{\left(\frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)} + \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right) \cdot \frac{1}{8}} \]
    6. Applied rewrites99.7%

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

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

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

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

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

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

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

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

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

        \[\leadsto \color{blue}{\frac{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \frac{1}{8} \]
      10. lower-/.f3299.7

        \[\leadsto \frac{\color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r}}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
      11. lift-+.f32N/A

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

        \[\leadsto \frac{\frac{\color{blue}{e^{\frac{\frac{r}{-3}}{s}} + e^{\frac{-r}{s}}}}{r}}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      13. lower-+.f3299.7

        \[\leadsto \frac{\frac{\color{blue}{e^{\frac{\frac{r}{-3}}{s}} + e^{\frac{-r}{s}}}}{r}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
    8. Applied rewrites99.7%

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125} \]

    if 0.00200000009 < (+.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 97.7%

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

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

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{-1 \cdot \frac{-1 \cdot \frac{\frac{-1}{144} \cdot \frac{r}{\mathsf{PI}\left(\right)} + \frac{1}{1296} \cdot \frac{{r}^{2}}{s \cdot \mathsf{PI}\left(\right)}}{s} - \frac{1}{24} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
    5. Applied rewrites70.0%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{-s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification95.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.0020000000949949026:\\ \;\;\;\;\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{\frac{\frac{\mathsf{fma}\left(r \cdot \frac{r}{s}, 0.0007716049382716049, -0.006944444444444444 \cdot r\right)}{\mathsf{PI}\left(\right)}}{s} + \frac{0.041666666666666664}{\mathsf{PI}\left(\right)}}{s} - \frac{0.125}{\mathsf{PI}\left(\right) \cdot r}}{-s}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 95.2% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{-r}{s}}\\ t_1 := \frac{0.25 \cdot t\_0}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\\ \mathbf{if}\;t\_1 + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.0020000000949949026:\\ \;\;\;\;\frac{t\_0 + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125\\ \mathbf{else}:\\ \;\;\;\;t\_1 + \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot r} + \frac{\frac{\mathsf{fma}\left(\frac{r}{s}, 0.006944444444444444, -0.041666666666666664\right)}{\mathsf{PI}\left(\right)}}{s}}{s}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (exp (/ (- r) s)))
        (t_1 (/ (* 0.25 t_0) (* (* (* 2.0 (PI)) s) r))))
   (if (<=
        (+ t_1 (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 (PI)) s) r)))
        0.0020000000949949026)
     (* (/ (+ t_0 (exp (/ (/ r -3.0) s))) r) 0.125)
     (+
      t_1
      (/
       (+
        (/ 0.125 (* (PI) r))
        (/
         (/ (fma (/ r s) 0.006944444444444444 -0.041666666666666664) (PI))
         s))
       s)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{-r}{s}}\\
t_1 := \frac{0.25 \cdot t\_0}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\\
\mathbf{if}\;t\_1 + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} \leq 0.0020000000949949026:\\
\;\;\;\;\frac{t\_0 + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125\\

\mathbf{else}:\\
\;\;\;\;t\_1 + \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot r} + \frac{\frac{\mathsf{fma}\left(\frac{r}{s}, 0.006944444444444444, -0.041666666666666664\right)}{\mathsf{PI}\left(\right)}}{s}}{s}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (+.f32 (/.f32 (*.f32 #s(literal 1/4 binary32) (exp.f32 (/.f32 (neg.f32 r) s))) (*.f32 (*.f32 (*.f32 #s(literal 2 binary32) (PI.f32)) s) r)) (/.f32 (*.f32 #s(literal 3/4 binary32) (exp.f32 (/.f32 (neg.f32 r) (*.f32 #s(literal 3 binary32) s)))) (*.f32 (*.f32 (*.f32 #s(literal 6 binary32) (PI.f32)) s) r))) < 0.00200000009

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\frac{1}{4}}{2}, \frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)}, \frac{\frac{3}{4} \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r}\right)} \]
    4. Applied rewrites99.7%

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

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

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

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

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

        \[\leadsto \color{blue}{\left(\frac{e^{\frac{-r}{s}}}{\mathsf{PI}\left(\right) \cdot \left(s \cdot r\right)} + \frac{e^{\frac{\frac{r}{-3}}{s}}}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}\right) \cdot \frac{1}{8}} \]
    6. Applied rewrites99.7%

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

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

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

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

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

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

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

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

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

        \[\leadsto \color{blue}{\frac{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r}}{\mathsf{PI}\left(\right) \cdot s}} \cdot \frac{1}{8} \]
      10. lower-/.f3299.7

        \[\leadsto \frac{\color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r}}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
      11. lift-+.f32N/A

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

        \[\leadsto \frac{\frac{\color{blue}{e^{\frac{\frac{r}{-3}}{s}} + e^{\frac{-r}{s}}}}{r}}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      13. lower-+.f3299.7

        \[\leadsto \frac{\frac{\color{blue}{e^{\frac{\frac{r}{-3}}{s}} + e^{\frac{-r}{s}}}}{r}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
    8. Applied rewrites99.7%

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r} \cdot 0.125} \]

    if 0.00200000009 < (+.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 97.7%

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

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

        \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{24}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
    5. Applied rewrites67.2%

      \[\leadsto \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot r} + \frac{\frac{\mathsf{fma}\left(\frac{r}{s}, 0.006944444444444444, -0.041666666666666664\right)}{\mathsf{PI}\left(\right)}}{s}}{s}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 99.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \end{array} \]
(FPCore (s r)
 :precision binary32
 (* (/ (+ (exp (/ (- r) s)) (exp (/ (/ r -3.0) s))) (* (* s r) (PI))) 0.125))
\begin{array}{l}

\\
\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    \[\leadsto \color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125} \]
  7. Add Preprocessing

Alternative 5: 99.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{e^{\frac{-r}{s}} + e^{\frac{r}{-3 \cdot s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \end{array} \]
(FPCore (s r)
 :precision binary32
 (* (/ (+ (exp (/ (- r) s)) (exp (/ r (* -3.0 s)))) (* (* s r) (PI))) 0.125))
\begin{array}{l}

\\
\frac{e^{\frac{-r}{s}} + e^{\frac{r}{-3 \cdot s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{e^{\frac{-r}{s}} + e^{\frac{r}{\color{blue}{-3 \cdot s}}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \]
  8. Applied rewrites99.5%

    \[\leadsto \frac{e^{\frac{-r}{s}} + e^{\color{blue}{\frac{r}{-3 \cdot s}}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \]
  9. Add Preprocessing

Alternative 6: 99.5% accurate, 1.1× speedup?

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

\\
\frac{e^{\frac{-r}{s}} + e^{-0.3333333333333333 \cdot \frac{r}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Alternative 7: 10.9% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \frac{\frac{0.125}{\mathsf{PI}\left(\right) \cdot r} + \frac{\frac{\mathsf{fma}\left(\frac{r}{s}, 0.006944444444444444, -0.041666666666666664\right)}{\mathsf{PI}\left(\right)}}{s}}{s} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 (PI)) s) r))
  (/
   (+
    (/ 0.125 (* (PI) r))
    (/ (/ (fma (/ r s) 0.006944444444444444 -0.041666666666666664) (PI)) s))
   s)))
\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{\frac{0.125}{\mathsf{PI}\left(\right) \cdot r} + \frac{\frac{\mathsf{fma}\left(\frac{r}{s}, 0.006944444444444444, -0.041666666666666664\right)}{\mathsf{PI}\left(\right)}}{s}}{s}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

      \[\leadsto \frac{\frac{1}{4} \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot s\right) \cdot r} + \color{blue}{\frac{\left(\frac{1}{144} \cdot \frac{r}{{s}^{2} \cdot \mathsf{PI}\left(\right)} + \frac{1}{8} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}\right) - \frac{\frac{1}{24}}{s \cdot \mathsf{PI}\left(\right)}}{s}} \]
  5. Applied rewrites11.0%

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

Alternative 8: 10.3% accurate, 3.7× speedup?

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

\\
\frac{\frac{\mathsf{fma}\left(0.06944444444444445, \frac{\frac{r}{s}}{\mathsf{PI}\left(\right)}, \frac{-0.16666666666666666}{\mathsf{PI}\left(\right)}\right)}{s} + \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}}{s}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

      \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{-1 \cdot \frac{\left(\frac{1}{144} \cdot \frac{r}{s \cdot \mathsf{PI}\left(\right)} + \frac{1}{16} \cdot \frac{r}{s \cdot \mathsf{PI}\left(\right)}\right) - \frac{1}{6} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{s}\right)} \]
    2. distribute-neg-frac2N/A

      \[\leadsto \color{blue}{\frac{-1 \cdot \frac{\left(\frac{1}{144} \cdot \frac{r}{s \cdot \mathsf{PI}\left(\right)} + \frac{1}{16} \cdot \frac{r}{s \cdot \mathsf{PI}\left(\right)}\right) - \frac{1}{6} \cdot \frac{1}{\mathsf{PI}\left(\right)}}{s} - \frac{1}{4} \cdot \frac{1}{r \cdot \mathsf{PI}\left(\right)}}{\mathsf{neg}\left(s\right)}} \]
    3. lower-/.f32N/A

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

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

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

Alternative 9: 10.3% accurate, 3.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot s\\ \frac{\mathsf{fma}\left(\frac{r}{s}, \frac{0.06944444444444445}{t\_0}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}\right) - \frac{0.16666666666666666}{t\_0}}{s} \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (* (PI) s)))
   (/
    (-
     (fma (/ r s) (/ 0.06944444444444445 t_0) (/ 0.25 (* (PI) r)))
     (/ 0.16666666666666666 t_0))
    s)))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{PI}\left(\right) \cdot s\\
\frac{\mathsf{fma}\left(\frac{r}{s}, \frac{0.06944444444444445}{t\_0}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}\right) - \frac{0.16666666666666666}{t\_0}}{s}
\end{array}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(0.06944444444444445, \frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}\right) - \frac{0.16666666666666666}{\mathsf{PI}\left(\right) \cdot s}}{s}} \]
  8. Step-by-step derivation
    1. Applied rewrites10.2%

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

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

    Alternative 10: 10.3% accurate, 4.0× speedup?

    \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(0.06944444444444445, \frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}\right) - \frac{0.16666666666666666}{\mathsf{PI}\left(\right) \cdot s}}{s} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (/
      (-
       (fma 0.06944444444444445 (/ r (* (* s s) (PI))) (/ 0.25 (* (PI) r)))
       (/ 0.16666666666666666 (* (PI) s)))
      s))
    \begin{array}{l}
    
    \\
    \frac{\mathsf{fma}\left(0.06944444444444445, \frac{r}{\left(s \cdot s\right) \cdot \mathsf{PI}\left(\right)}, \frac{0.25}{\mathsf{PI}\left(\right) \cdot r}\right) - \frac{0.16666666666666666}{\mathsf{PI}\left(\right) \cdot s}}{s}
    \end{array}
    
    Derivation
    1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Alternative 11: 10.3% accurate, 4.2× speedup?

    \[\begin{array}{l} \\ \frac{2 - \frac{\mathsf{fma}\left(1.3333333333333333, r, \frac{\left(r \cdot r\right) \cdot 0.5555555555555556}{-s}\right)}{s}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \end{array} \]
    (FPCore (s r)
     :precision binary32
     (*
      (/
       (-
        2.0
        (/ (fma 1.3333333333333333 r (/ (* (* r r) 0.5555555555555556) (- s))) s))
       (* (* s r) (PI)))
      0.125))
    \begin{array}{l}
    
    \\
    \frac{2 - \frac{\mathsf{fma}\left(1.3333333333333333, r, \frac{\left(r \cdot r\right) \cdot 0.5555555555555556}{-s}\right)}{s}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125
    \end{array}
    
    Derivation
    1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{2 - \color{blue}{\frac{r + \left(-1 \cdot \frac{\frac{1}{18} \cdot {r}^{2} + \frac{1}{2} \cdot {r}^{2}}{s} + \frac{1}{3} \cdot r\right)}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot \frac{1}{8} \]
    9. Applied rewrites10.2%

      \[\leadsto \frac{\color{blue}{2 - \frac{\mathsf{fma}\left(1.3333333333333333, r, \frac{\left(r \cdot r\right) \cdot 0.5555555555555556}{-s}\right)}{s}}}{\left(s \cdot r\right) \cdot \mathsf{PI}\left(\right)} \cdot 0.125 \]
    10. Add Preprocessing

    Alternative 12: 10.3% accurate, 4.3× speedup?

    \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(\frac{1.3333333333333333 - \frac{r \cdot 0.5555555555555556}{s}}{s}, -1, \frac{2}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \end{array} \]
    (FPCore (s r)
     :precision binary32
     (*
      (/
       (fma
        (/ (- 1.3333333333333333 (/ (* r 0.5555555555555556) s)) s)
        -1.0
        (/ 2.0 r))
       (* (PI) s))
      0.125))
    \begin{array}{l}
    
    \\
    \frac{\mathsf{fma}\left(\frac{1.3333333333333333 - \frac{r \cdot 0.5555555555555556}{s}}{s}, -1, \frac{2}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125
    \end{array}
    
    Derivation
    1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\color{blue}{\frac{e^{\frac{-r}{s}} + e^{\frac{\frac{r}{-3}}{s}}}{r}}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
      11. lift-+.f32N/A

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

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

        \[\leadsto \frac{\frac{\color{blue}{e^{\frac{\frac{r}{-3}}{s}} + e^{\frac{-r}{s}}}}{r}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
    8. Applied rewrites99.5%

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{4}{3} - \color{blue}{\frac{\frac{1}{18} \cdot r + \frac{1}{2} \cdot r}{s}}}{s}, -1, 2 \cdot \frac{1}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      9. distribute-rgt-outN/A

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

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{4}{3} - \frac{r \cdot \color{blue}{\frac{5}{9}}}{s}}{s}, -1, 2 \cdot \frac{1}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      11. lower-*.f32N/A

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{4}{3} - \frac{\color{blue}{r \cdot \frac{5}{9}}}{s}}{s}, -1, 2 \cdot \frac{1}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      12. associate-*r/N/A

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{4}{3} - \frac{r \cdot \frac{5}{9}}{s}}{s}, -1, \color{blue}{\frac{2 \cdot 1}{r}}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      13. metadata-evalN/A

        \[\leadsto \frac{\mathsf{fma}\left(\frac{\frac{4}{3} - \frac{r \cdot \frac{5}{9}}{s}}{s}, -1, \frac{\color{blue}{2}}{r}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot \frac{1}{8} \]
      14. lower-/.f3210.1

        \[\leadsto \frac{\mathsf{fma}\left(\frac{1.3333333333333333 - \frac{r \cdot 0.5555555555555556}{s}}{s}, -1, \color{blue}{\frac{2}{r}}\right)}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
    11. Applied rewrites10.1%

      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\frac{1.3333333333333333 - \frac{r \cdot 0.5555555555555556}{s}}{s}, -1, \frac{2}{r}\right)}}{\mathsf{PI}\left(\right) \cdot s} \cdot 0.125 \]
    12. Add Preprocessing

    Alternative 13: 9.2% accurate, 6.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\mathsf{PI}\left(\right)}\\ \frac{0.25}{\left(r \cdot t\_0\right) \cdot \left(t\_0 \cdot s\right)} \end{array} \end{array} \]
    (FPCore (s r)
     :precision binary32
     (let* ((t_0 (sqrt (PI)))) (/ 0.25 (* (* r t_0) (* t_0 s)))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{\mathsf{PI}\left(\right)}\\
    \frac{0.25}{\left(r \cdot t\_0\right) \cdot \left(t\_0 \cdot s\right)}
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
      11. lower-PI.f329.2

        \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
    5. Applied rewrites9.2%

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

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

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

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

          Alternative 14: 9.2% accurate, 13.5× speedup?

          \[\begin{array}{l} \\ \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r} \end{array} \]
          (FPCore (s r) :precision binary32 (/ 0.25 (* (* (PI) s) r)))
          \begin{array}{l}
          
          \\
          \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot s\right) \cdot r}
          \end{array}
          
          Derivation
          1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

              \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
            11. lower-PI.f329.2

              \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
          5. Applied rewrites9.2%

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

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

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

              Alternative 15: 9.2% accurate, 13.5× speedup?

              \[\begin{array}{l} \\ \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s} \end{array} \]
              (FPCore (s r) :precision binary32 (/ 0.25 (* (* (PI) r) s)))
              \begin{array}{l}
              
              \\
              \frac{0.25}{\left(\mathsf{PI}\left(\right) \cdot r\right) \cdot s}
              \end{array}
              
              Derivation
              1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

                  \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                11. lower-PI.f329.2

                  \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
              5. Applied rewrites9.2%

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

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

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

                  Alternative 16: 9.2% 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 99.5%

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

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

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

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

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

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

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

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

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

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

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

                      \[\leadsto \frac{\frac{\frac{1}{4}}{\color{blue}{\mathsf{PI}\left(\right) \cdot s}}}{r} \]
                    11. lower-PI.f329.2

                      \[\leadsto \frac{\frac{0.25}{\color{blue}{\mathsf{PI}\left(\right)} \cdot s}}{r} \]
                  5. Applied rewrites9.2%

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

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

                    Reproduce

                    ?
                    herbie shell --seed 2025009 
                    (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))))