Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 98.9%
Time: 17.9s
Alternatives: 11
Speedup: 1.0×

Specification

?
\[\left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 1\right) \land \left(0 \leq s \land s \leq 1.0651631\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))
   (*
    (- s)
    (log
     (-
      (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) t_0)) t_0))
      1.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\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 11 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: 98.9% accurate, 1.0× speedup?

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

\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}

Alternative 1: 98.9% accurate, 1.0× speedup?

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

\\
\begin{array}{l}
t_0 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
\log \left(\frac{1}{\left(\frac{1}{e^{\mathsf{PI}\left(\right) \cdot \frac{-1}{s}} + 1} - t\_0\right) \cdot u + t\_0} - 1\right) \cdot \left(-s\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\color{blue}{\frac{1}{s} \cdot \left(-\mathsf{PI}\left(\right)\right)}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. lower-/.f3299.0

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\color{blue}{\frac{1}{s}} \cdot \left(-\mathsf{PI}\left(\right)\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  4. Applied rewrites99.0%

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\color{blue}{\frac{1 \cdot \left(-\mathsf{PI}\left(\right)\right)}{s}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. *-lft-identityN/A

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. /-rgt-identityN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\color{blue}{\frac{s}{1}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. clear-numN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\color{blue}{\frac{1}{\frac{1}{s}}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. inv-powN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{1}{\color{blue}{{s}^{-1}}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    9. pow-flipN/A

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{{s}^{\color{blue}{\left(3 - 2\right)}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    12. pow-divN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\color{blue}{\frac{{s}^{3}}{{s}^{2}}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    13. sqr-powN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{\color{blue}{{s}^{\left(\frac{3}{2}\right)} \cdot {s}^{\left(\frac{3}{2}\right)}}}{{s}^{2}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    14. unpow-prod-downN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{\color{blue}{{\left(s \cdot s\right)}^{\left(\frac{3}{2}\right)}}}{{s}^{2}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    15. sqr-negN/A

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{{\left(\left(-s\right) \cdot \color{blue}{\left(-s\right)}\right)}^{\left(\frac{3}{2}\right)}}{{s}^{2}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    18. pow-prod-downN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{\color{blue}{{\left(-s\right)}^{\left(\frac{3}{2}\right)} \cdot {\left(-s\right)}^{\left(\frac{3}{2}\right)}}}{{s}^{2}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    19. sqr-powN/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{\color{blue}{{\left(-s\right)}^{3}}}{{s}^{2}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    20. pow2N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{{\left(-s\right)}^{3}}{\color{blue}{s \cdot s}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    21. sqr-negN/A

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{{\left(-s\right)}^{3}}{\left(-s\right) \cdot \color{blue}{\left(-s\right)}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    24. pow2N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\frac{{\left(-s\right)}^{3}}{\color{blue}{{\left(-s\right)}^{2}}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    25. pow-divN/A

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{{\left(-s\right)}^{\color{blue}{1}}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    27. unpow1N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\color{blue}{-s}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    28. lift-neg.f32N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  6. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\color{blue}{\frac{-1}{s} \cdot \mathsf{PI}\left(\right)}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  7. Final simplification99.0%

    \[\leadsto \log \left(\frac{1}{\left(\frac{1}{e^{\mathsf{PI}\left(\right) \cdot \frac{-1}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u + \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}} - 1\right) \cdot \left(-s\right) \]
  8. Add Preprocessing

Alternative 2: 7.5% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := -\mathsf{PI}\left(\right)\\ t_1 := \mathsf{PI}\left(\right) \cdot u\\ t_2 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\ t_3 := \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\\ \mathbf{if}\;\log \left(\frac{1}{\left(\frac{1}{e^{\frac{t\_0}{s}} + 1} - t\_2\right) \cdot u + t\_2} - 1\right) \cdot \left(-s\right) \leq -1.999999936531045 \cdot 10^{-19}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(t\_1, 2, t\_0\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_3 \cdot 16, t\_3, -16 \cdot {t\_3}^{2}\right)}{s}, -0.5, \mathsf{fma}\left(t\_1, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (- (PI)))
        (t_1 (* (PI) u))
        (t_2 (/ 1.0 (+ (exp (/ (PI) s)) 1.0)))
        (t_3 (* (fma 0.5 u -0.25) (PI))))
   (if (<=
        (*
         (log
          (-
           (/ 1.0 (+ (* (- (/ 1.0 (+ (exp (/ t_0 s)) 1.0)) t_2) u) t_2))
           1.0))
         (- s))
        -1.999999936531045e-19)
     (fma (/ (* (* u u) 0.0) s) -0.5 (fma t_1 2.0 t_0))
     (fma
      (/ (fma (* t_3 16.0) t_3 (* -16.0 (pow t_3 2.0))) s)
      -0.5
      (* (fma t_1 0.5 (* -0.25 (PI))) 4.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := -\mathsf{PI}\left(\right)\\
t_1 := \mathsf{PI}\left(\right) \cdot u\\
t_2 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
t_3 := \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\\
\mathbf{if}\;\log \left(\frac{1}{\left(\frac{1}{e^{\frac{t\_0}{s}} + 1} - t\_2\right) \cdot u + t\_2} - 1\right) \cdot \left(-s\right) \leq -1.999999936531045 \cdot 10^{-19}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(t\_1, 2, t\_0\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_3 \cdot 16, t\_3, -16 \cdot {t\_3}^{2}\right)}{s}, -0.5, \mathsf{fma}\left(t\_1, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32)))) < -1.99999994e-19

    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in s around inf

      \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
    4. Applied rewrites9.9%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
    5. Taylor expanded in u around inf

      \[\leadsto \mathsf{fma}\left(\frac{{u}^{2} \cdot \left(-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}\right)}{s}, \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
    6. Step-by-step derivation
      1. Applied rewrites15.6%

        \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
      2. Step-by-step derivation
        1. Applied rewrites8.8%

          \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, {\left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right)}^{1}\right) \]

        if -1.99999994e-19 < (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32))))

        1. Initial program 99.0%

          \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        2. Add Preprocessing
        3. Taylor expanded in s around inf

          \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
        4. Applied rewrites6.3%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
        5. Taylor expanded in u around 0

          \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
        6. Step-by-step derivation
          1. Applied rewrites6.0%

            \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(0.5, u, -0.25\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
          2. Step-by-step derivation
            1. Applied rewrites8.1%

              \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left(16 \cdot \left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right), \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right), {\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right)}^{2} \cdot -16\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
          3. Recombined 2 regimes into one program.
          4. Final simplification7.9%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u + \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}} - 1\right) \cdot \left(-s\right) \leq -1.999999936531045 \cdot 10^{-19}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot 16, \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right), -16 \cdot {\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right)}^{2}\right)}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \end{array} \]
          5. Add Preprocessing

          Alternative 3: 98.9% accurate, 1.0× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\ \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - t\_0\right) \cdot u + t\_0} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
          (FPCore (u s)
           :precision binary32
           (let* ((t_0 (/ 1.0 (+ (exp (/ (PI) s)) 1.0))))
             (*
              (log
               (-
                (/ 1.0 (+ (* (- (/ 1.0 (+ (exp (/ (- (PI)) s)) 1.0)) t_0) u) t_0))
                1.0))
              (- s))))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
          \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - t\_0\right) \cdot u + t\_0} - 1\right) \cdot \left(-s\right)
          \end{array}
          \end{array}
          
          Derivation
          1. Initial program 99.0%

            \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          2. Add Preprocessing
          3. Final simplification99.0%

            \[\leadsto \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u + \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}} - 1\right) \cdot \left(-s\right) \]
          4. Add Preprocessing

          Alternative 4: 97.5% accurate, 1.3× speedup?

          \[\begin{array}{l} \\ \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \cdot \left(-s\right) \end{array} \]
          (FPCore (u s)
           :precision binary32
           (*
            (log
             (-
              (/
               1.0
               (*
                (- (/ 1.0 (+ (exp (/ (- (PI)) s)) 1.0)) (/ 1.0 (+ (exp (/ (PI) s)) 1.0)))
                u))
              1.0))
            (- s)))
          \begin{array}{l}
          
          \\
          \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \cdot \left(-s\right)
          \end{array}
          
          Derivation
          1. Initial program 99.0%

            \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          2. Add Preprocessing
          3. Taylor expanded in u around inf

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

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

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot u}} - 1\right) \]
          5. Applied rewrites97.8%

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u}} - 1\right) \]
          6. Final simplification97.8%

            \[\leadsto \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \cdot \left(-s\right) \]
          7. Add Preprocessing

          Alternative 5: 8.5% accurate, 1.8× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)\\ \log \left(1 - \frac{\mathsf{fma}\left(\frac{{t\_0}^{2}}{s}, -8, \frac{0}{s}\right) - 4 \cdot t\_0}{s}\right) \cdot \left(-s\right) \end{array} \end{array} \]
          (FPCore (u s)
           :precision binary32
           (let* ((t_0 (fma (* -0.5 (PI)) u (* 0.25 (PI)))))
             (*
              (log
               (- 1.0 (/ (- (fma (/ (pow t_0 2.0) s) -8.0 (/ 0.0 s)) (* 4.0 t_0)) s)))
              (- s))))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)\\
          \log \left(1 - \frac{\mathsf{fma}\left(\frac{{t\_0}^{2}}{s}, -8, \frac{0}{s}\right) - 4 \cdot t\_0}{s}\right) \cdot \left(-s\right)
          \end{array}
          \end{array}
          
          Derivation
          1. Initial program 99.0%

            \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          2. Add Preprocessing
          3. Taylor expanded in s around inf

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2}}} - 1\right) \]
          4. Step-by-step derivation
            1. Applied rewrites10.4%

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5}} - 1\right) \]
            2. Taylor expanded in s around -inf

              \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 + -1 \cdot \frac{\left(-8 \cdot \frac{{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2}}{s} + -4 \cdot \frac{\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right) - 4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)} \]
            3. Applied rewrites13.7%

              \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\frac{{\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}}{s}, -8, \frac{0}{s}\right) - \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4}{s}\right)} \]
            4. Final simplification12.8%

              \[\leadsto \log \left(1 - \frac{\mathsf{fma}\left(\frac{{\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}}{s}, -8, \frac{0}{s}\right) - 4 \cdot \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) \cdot \left(-s\right) \]
            5. Add Preprocessing

            Alternative 6: 8.2% accurate, 1.8× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{PI}\left(\right) \cdot u\\ t_1 := \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\\ t_2 := {t\_1}^{2}\\ \mathbf{if}\;s \leq 1.9999999996399175 \cdot 10^{-23}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1 \cdot 16, t\_1, -16 \cdot t\_2\right)}{s}, -0.5, \mathsf{fma}\left(t\_0, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\left(1 - \frac{\mathsf{fma}\left(-8, t\_2, 0\right)}{s \cdot s}\right) - \frac{\mathsf{fma}\left(t\_0, 2, -\mathsf{PI}\left(\right)\right)}{s}\right) \cdot \left(-s\right)\\ \end{array} \end{array} \]
            (FPCore (u s)
             :precision binary32
             (let* ((t_0 (* (PI) u)) (t_1 (* (fma 0.5 u -0.25) (PI))) (t_2 (pow t_1 2.0)))
               (if (<= s 1.9999999996399175e-23)
                 (fma
                  (/ (fma (* t_1 16.0) t_1 (* -16.0 t_2)) s)
                  -0.5
                  (* (fma t_0 0.5 (* -0.25 (PI))) 4.0))
                 (*
                  (log
                   (- (- 1.0 (/ (fma -8.0 t_2 0.0) (* s s))) (/ (fma t_0 2.0 (- (PI))) s)))
                  (- s)))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := \mathsf{PI}\left(\right) \cdot u\\
            t_1 := \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\\
            t_2 := {t\_1}^{2}\\
            \mathbf{if}\;s \leq 1.9999999996399175 \cdot 10^{-23}:\\
            \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1 \cdot 16, t\_1, -16 \cdot t\_2\right)}{s}, -0.5, \mathsf{fma}\left(t\_0, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\
            
            \mathbf{else}:\\
            \;\;\;\;\log \left(\left(1 - \frac{\mathsf{fma}\left(-8, t\_2, 0\right)}{s \cdot s}\right) - \frac{\mathsf{fma}\left(t\_0, 2, -\mathsf{PI}\left(\right)\right)}{s}\right) \cdot \left(-s\right)\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if s < 2e-23

              1. Initial program 99.0%

                \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
              2. Add Preprocessing
              3. Taylor expanded in s around inf

                \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
              4. Applied rewrites6.2%

                \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
              5. Taylor expanded in u around 0

                \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
              6. Step-by-step derivation
                1. Applied rewrites6.9%

                  \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(0.5, u, -0.25\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                2. Step-by-step derivation
                  1. Applied rewrites7.9%

                    \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left(16 \cdot \left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right), \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right), {\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right)}^{2} \cdot -16\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]

                  if 2e-23 < s

                  1. Initial program 99.0%

                    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                  2. Add Preprocessing
                  3. Taylor expanded in s around inf

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2}}} - 1\right) \]
                  4. Step-by-step derivation
                    1. Applied rewrites7.8%

                      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5}} - 1\right) \]
                    2. Taylor expanded in s around inf

                      \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\left(1 + -1 \cdot \frac{-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)}{{s}^{2}}\right) - 4 \cdot \frac{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)}{s}\right)} \]
                    3. Applied rewrites14.6%

                      \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\left(1 - \frac{\mathsf{fma}\left(-8, {\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(0.5, u, -0.25\right)\right)}^{2}, 0\right)}{s \cdot s}\right) - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)}{s}\right)} \]
                  5. Recombined 2 regimes into one program.
                  6. Final simplification9.5%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 1.9999999996399175 \cdot 10^{-23}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot 16, \mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right), -16 \cdot {\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right)}^{2}\right)}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\left(1 - \frac{\mathsf{fma}\left(-8, {\left(\mathsf{fma}\left(0.5, u, -0.25\right) \cdot \mathsf{PI}\left(\right)\right)}^{2}, 0\right)}{s \cdot s}\right) - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)}{s}\right) \cdot \left(-s\right)\\ \end{array} \]
                  7. Add Preprocessing

                  Alternative 7: 8.6% accurate, 9.8× speedup?

                  \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u\right) \end{array} \]
                  (FPCore (u s)
                   :precision binary32
                   (fma (/ (* (* u u) 0.0) s) -0.5 (* (- (* 2.0 (PI)) (/ (PI) u)) u)))
                  \begin{array}{l}
                  
                  \\
                  \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u\right)
                  \end{array}
                  
                  Derivation
                  1. Initial program 99.0%

                    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                  2. Add Preprocessing
                  3. Taylor expanded in s around inf

                    \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                  4. Applied rewrites8.1%

                    \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
                  5. Taylor expanded in u around inf

                    \[\leadsto \mathsf{fma}\left(\frac{{u}^{2} \cdot \left(-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}\right)}{s}, \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                  6. Step-by-step derivation
                    1. Applied rewrites11.5%

                      \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                    2. Taylor expanded in u around inf

                      \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, \frac{-1}{2}, u \cdot \left(-1 \cdot \frac{\mathsf{PI}\left(\right)}{u} + 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
                    3. Step-by-step derivation
                      1. Applied rewrites11.6%

                        \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u\right) \]
                      2. Final simplification11.7%

                        \[\leadsto \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u\right) \]
                      3. Add Preprocessing

                      Alternative 8: 7.5% accurate, 12.4× speedup?

                      \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right) \end{array} \]
                      (FPCore (u s)
                       :precision binary32
                       (fma (/ (* (* u u) 0.0) s) -0.5 (fma (* (PI) u) 2.0 (- (PI)))))
                      \begin{array}{l}
                      
                      \\
                      \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right)
                      \end{array}
                      
                      Derivation
                      1. Initial program 99.0%

                        \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                      2. Add Preprocessing
                      3. Taylor expanded in s around inf

                        \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                      4. Applied rewrites8.2%

                        \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
                      5. Taylor expanded in u around inf

                        \[\leadsto \mathsf{fma}\left(\frac{{u}^{2} \cdot \left(-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}\right)}{s}, \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                      6. Step-by-step derivation
                        1. Applied rewrites11.5%

                          \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                        2. Step-by-step derivation
                          1. Applied rewrites8.2%

                            \[\leadsto \mathsf{fma}\left(\frac{0 \cdot \left(u \cdot u\right)}{s}, -0.5, {\left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right)}^{1}\right) \]
                          2. Final simplification11.5%

                            \[\leadsto \mathsf{fma}\left(\frac{\left(u \cdot u\right) \cdot 0}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 2, -\mathsf{PI}\left(\right)\right)\right) \]
                          3. Add Preprocessing

                          Alternative 9: 11.7% accurate, 36.4× speedup?

                          \[\begin{array}{l} \\ \left(\mathsf{PI}\left(\right) \cdot u\right) \cdot 2 - \mathsf{PI}\left(\right) \end{array} \]
                          (FPCore (u s) :precision binary32 (- (* (* (PI) u) 2.0) (PI)))
                          \begin{array}{l}
                          
                          \\
                          \left(\mathsf{PI}\left(\right) \cdot u\right) \cdot 2 - \mathsf{PI}\left(\right)
                          \end{array}
                          
                          Derivation
                          1. Initial program 99.0%

                            \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          2. Add Preprocessing
                          3. Taylor expanded in s around inf

                            \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                          4. Applied rewrites7.8%

                            \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
                          5. Step-by-step derivation
                            1. Applied rewrites8.3%

                              \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \left(4 \cdot \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \left(4 \cdot \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                            2. Applied rewrites11.7%

                              \[\leadsto \left(0 + \left(\mathsf{PI}\left(\right) \cdot u\right) \cdot 2\right) + \color{blue}{\left(-\mathsf{PI}\left(\right)\right)} \]
                            3. Final simplification11.7%

                              \[\leadsto \left(\mathsf{PI}\left(\right) \cdot u\right) \cdot 2 - \mathsf{PI}\left(\right) \]
                            4. Add Preprocessing

                            Alternative 10: 11.5% accurate, 170.0× speedup?

                            \[\begin{array}{l} \\ -\mathsf{PI}\left(\right) \end{array} \]
                            (FPCore (u s) :precision binary32 (- (PI)))
                            \begin{array}{l}
                            
                            \\
                            -\mathsf{PI}\left(\right)
                            \end{array}
                            
                            Derivation
                            1. Initial program 99.0%

                              \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                            2. Add Preprocessing
                            3. Taylor expanded in u around 0

                              \[\leadsto \color{blue}{-1 \cdot \mathsf{PI}\left(\right)} \]
                            4. Step-by-step derivation
                              1. mul-1-negN/A

                                \[\leadsto \color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)} \]
                              2. lower-neg.f32N/A

                                \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
                              3. lower-PI.f3211.5

                                \[\leadsto -\color{blue}{\mathsf{PI}\left(\right)} \]
                            5. Applied rewrites11.5%

                              \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
                            6. Add Preprocessing

                            Alternative 11: 10.2% accurate, 510.0× speedup?

                            \[\begin{array}{l} \\ 0 \end{array} \]
                            (FPCore (u s) :precision binary32 0.0)
                            float code(float u, float s) {
                            	return 0.0f;
                            }
                            
                            real(4) function code(u, s)
                                real(4), intent (in) :: u
                                real(4), intent (in) :: s
                                code = 0.0e0
                            end function
                            
                            function code(u, s)
                            	return Float32(0.0)
                            end
                            
                            function tmp = code(u, s)
                            	tmp = single(0.0);
                            end
                            
                            \begin{array}{l}
                            
                            \\
                            0
                            \end{array}
                            
                            Derivation
                            1. Initial program 99.0%

                              \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                            2. Add Preprocessing
                            3. Taylor expanded in s around inf

                              \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                            4. Applied rewrites8.3%

                              \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -16, \mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, 0\right)\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)} \]
                            5. Taylor expanded in s around 0

                              \[\leadsto \frac{-1}{2} \cdot \color{blue}{\frac{-16 \cdot {\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 16 \cdot {\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}}{s}} \]
                            6. Step-by-step derivation
                              1. Applied rewrites10.4%

                                \[\leadsto \frac{0}{\color{blue}{s}} \]
                              2. Taylor expanded in s around 0

                                \[\leadsto 0 \]
                              3. Step-by-step derivation
                                1. Applied rewrites10.4%

                                  \[\leadsto 0 \]
                                2. Add Preprocessing

                                Reproduce

                                ?
                                herbie shell --seed 2024283 
                                (FPCore (u s)
                                  :name "Sample trimmed logistic on [-pi, pi]"
                                  :precision binary32
                                  :pre (and (and (<= 2.328306437e-10 u) (<= u 1.0)) (and (<= 0.0 s) (<= s 1.0651631)))
                                  (* (- s) (log (- (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) (/ 1.0 (+ 1.0 (exp (/ (PI) s)))))) (/ 1.0 (+ 1.0 (exp (/ (PI) s)))))) 1.0))))