Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 99.0% → 99.0%
Time: 14.9s
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: 99.0% 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: 99.0% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt[3]{\mathsf{PI}\left(\right)}\\ \log \left(\frac{1}{\frac{1}{e^{\frac{-t\_0}{-1} \cdot \frac{{t\_0}^{2}}{s}} + 1} + \left(\frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} - -1} - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} - -1}\right) \cdot u} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (cbrt (PI))))
   (*
    (log
     (-
      (/
       1.0
       (+
        (/ 1.0 (+ (exp (* (/ (- t_0) -1.0) (/ (pow t_0 2.0) s))) 1.0))
        (*
         (-
          (/ -1.0 (- (exp (/ (PI) s)) -1.0))
          (/ -1.0 (- (exp (/ (- (PI)) s)) -1.0)))
         u)))
      1.0))
    (- s))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt[3]{\mathsf{PI}\left(\right)}\\
\log \left(\frac{1}{\frac{1}{e^{\frac{-t\_0}{-1} \cdot \frac{{t\_0}^{2}}{s}} + 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}
\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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{{\left(\sqrt[3]{\mathsf{PI}\left(\right)}\right)}^{2}}{s} \cdot \frac{-\sqrt[3]{\color{blue}{\mathsf{PI}\left(\right)}}}{-1}}}} - 1\right) \]
    18. lower-cbrt.f3299.0

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{{\left(\sqrt[3]{\mathsf{PI}\left(\right)}\right)}^{2}}{s} \cdot \frac{-\color{blue}{\sqrt[3]{\mathsf{PI}\left(\right)}}}{-1}}}} - 1\right) \]
  4. Applied rewrites99.0%

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

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

Alternative 2: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} - -1}\\ \log \left(\frac{1}{\left(t\_0 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} - -1}\right) \cdot u - t\_0} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ -1.0 (- (exp (/ (PI) s)) -1.0))))
   (*
    (log
     (-
      (/ 1.0 (- (* (- t_0 (/ -1.0 (- (exp (/ (- (PI)) s)) -1.0))) 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(t\_0 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} - -1}\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 3: 97.4% 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 rewrites98.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u}} - 1\right) \]
  6. Final simplification98.0%

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

Alternative 4: 50.2% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := t\_0 \cdot \mathsf{PI}\left(\right)\\ \log \left(\frac{-1}{\left(\frac{-1}{\mathsf{fma}\left(\frac{0.5}{s}, t\_1, 1 - t\_0\right) - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot t\_1 - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{t\_0}}} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ (PI) s)) (t_1 (* t_0 (PI))))
   (*
    (log
     (-
      (/
       -1.0
       (-
        (*
         (-
          (/ -1.0 (- (fma (/ 0.5 s) t_1 (- 1.0 t_0)) -1.0))
          (/ -1.0 (- (- 1.0 (/ (- (* -0.5 t_1) (PI)) s)) -1.0)))
         u)
        (/ -1.0 (- -1.0 (exp t_0)))))
      1.0))
    (- s))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
t_1 := t\_0 \cdot \mathsf{PI}\left(\right)\\
\log \left(\frac{-1}{\left(\frac{-1}{\mathsf{fma}\left(\frac{0.5}{s}, t\_1, 1 - t\_0\right) - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot t\_1 - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{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. Taylor expanded in s around inf

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  4. Step-by-step derivation
    1. Applied rewrites37.9%

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

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

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. Applied rewrites37.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \color{blue}{\left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. Taylor expanded in s around inf

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 + \left(-1 \cdot \frac{\mathsf{PI}\left(\right)}{s} + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot \frac{-1}{2} - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. Step-by-step derivation
      1. associate-+r+N/A

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

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

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

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\color{blue}{\frac{\frac{1}{2}}{s}}, \frac{{\mathsf{PI}\left(\right)}^{2}}{s}, 1 + -1 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot \frac{-1}{2} - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      8. unpow2N/A

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\frac{\frac{1}{2}}{s}, \frac{\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}}{s}, 1 + -1 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot \frac{-1}{2} - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      9. associate-/l*N/A

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

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

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

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

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

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\frac{\frac{1}{2}}{s}, \mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, 1 - \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}}\right)} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot \frac{-1}{2} - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      18. lower-PI.f326.4

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\frac{0.5}{s}, \mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, 1 - \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}\right)} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. Applied rewrites7.7%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\mathsf{fma}\left(\frac{0.5}{s}, \mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, 1 - \frac{\mathsf{PI}\left(\right)}{s}\right)}} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. Final simplification8.1%

      \[\leadsto \log \left(\frac{-1}{\left(\frac{-1}{\mathsf{fma}\left(\frac{0.5}{s}, \frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right), 1 - \frac{\mathsf{PI}\left(\right)}{s}\right) - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot \left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right)\right) - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \cdot \left(-s\right) \]
    9. Add Preprocessing

    Alternative 5: 37.8% accurate, 1.6× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \log \left(\frac{1}{\left(\frac{1}{1 - -1} - \frac{1}{\left(1 - \frac{-0.5 \cdot \left(t\_0 \cdot \mathsf{PI}\left(\right)\right) - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{e^{t\_0} - -1}} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
    (FPCore (u s)
     :precision binary32
     (let* ((t_0 (/ (PI) s)))
       (*
        (log
         (-
          (/
           1.0
           (-
            (*
             (-
              (/ 1.0 (- 1.0 -1.0))
              (/ 1.0 (- (- 1.0 (/ (- (* -0.5 (* t_0 (PI))) (PI)) s)) -1.0)))
             u)
            (/ -1.0 (- (exp t_0) -1.0))))
          1.0))
        (- s))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
    \log \left(\frac{1}{\left(\frac{1}{1 - -1} - \frac{1}{\left(1 - \frac{-0.5 \cdot \left(t\_0 \cdot \mathsf{PI}\left(\right)\right) - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{e^{t\_0} - -1}} - 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. Taylor expanded in s around inf

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. Step-by-step derivation
      1. Applied rewrites37.9%

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

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

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

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

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

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      4. Applied rewrites37.9%

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \color{blue}{\left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      5. Final simplification37.9%

        \[\leadsto \log \left(\frac{1}{\left(\frac{1}{1 - -1} - \frac{1}{\left(1 - \frac{-0.5 \cdot \left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right)\right) - \mathsf{PI}\left(\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} - -1}} - 1\right) \cdot \left(-s\right) \]
      6. Add Preprocessing

      Alternative 6: 37.8% accurate, 1.6× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot \left(t\_0 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{t\_0}}} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
      (FPCore (u s)
       :precision binary32
       (let* ((t_0 (/ (PI) s)))
         (*
          (log
           (-
            (/
             -1.0
             (-
              (*
               (-
                (/ -1.0 (- 1.0 -1.0))
                (/ -1.0 (- (- 1.0 (/ (* -0.5 (* t_0 (PI))) s)) -1.0)))
               u)
              (/ -1.0 (- -1.0 (exp t_0)))))
            1.0))
          (- s))))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
      \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot \left(t\_0 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{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. Taylor expanded in s around inf

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      4. Step-by-step derivation
        1. Applied rewrites37.9%

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

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

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

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

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

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        4. Applied rewrites37.9%

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \color{blue}{\left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        5. Taylor expanded in s around 0

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \frac{\frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        6. Step-by-step derivation
          1. Applied rewrites37.9%

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          2. Final simplification37.9%

            \[\leadsto \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(1 - \frac{-0.5 \cdot \left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - -1}\right) \cdot u - \frac{-1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \cdot \left(-s\right) \]
          3. Add Preprocessing

          Alternative 7: 37.8% accurate, 1.6× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(t\_0 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0.5}{s} - -1}\right) \cdot u - \frac{-1}{-1 - e^{t\_0}}} - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
          (FPCore (u s)
           :precision binary32
           (let* ((t_0 (/ (PI) s)))
             (*
              (log
               (-
                (/
                 -1.0
                 (-
                  (*
                   (- (/ -1.0 (- 1.0 -1.0)) (/ -1.0 (- (* (* t_0 (PI)) (/ 0.5 s)) -1.0)))
                   u)
                  (/ -1.0 (- -1.0 (exp t_0)))))
                1.0))
              (- s))))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
          \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(t\_0 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0.5}{s} - -1}\right) \cdot u - \frac{-1}{-1 - e^{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. Taylor expanded in s around inf

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          4. Step-by-step derivation
            1. Applied rewrites37.9%

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

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

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

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

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

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 - \color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
            4. Applied rewrites37.9%

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \color{blue}{\left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
            5. Taylor expanded in s around 0

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \frac{1}{2} \cdot \color{blue}{\frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
            6. Step-by-step derivation
              1. Applied rewrites37.9%

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \frac{0.5}{s} \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
              2. Final simplification37.9%

                \[\leadsto \log \left(\frac{-1}{\left(\frac{-1}{1 - -1} - \frac{-1}{\left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0.5}{s} - -1}\right) \cdot u - \frac{-1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \cdot \left(-s\right) \]
              3. Add Preprocessing

              Alternative 8: 37.8% accurate, 1.7× speedup?

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

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
              4. Step-by-step derivation
                1. Applied rewrites37.9%

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

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

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

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 + \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                  3. lower-PI.f3237.9

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \left(1 + \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                4. Applied rewrites37.9%

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - \frac{1}{1 + \color{blue}{\left(1 + \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                5. Final simplification37.9%

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

                Alternative 9: 11.7% accurate, 26.8× speedup?

                \[\begin{array}{l} \\ \left(\left(-0.5 \cdot u + 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \end{array} \]
                (FPCore (u s) :precision binary32 (* (* (+ (* -0.5 u) 0.25) (PI)) -4.0))
                \begin{array}{l}
                
                \\
                \left(\left(-0.5 \cdot u + 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4
                \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. Taylor expanded in s around -inf

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

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

                    \[\leadsto \color{blue}{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4} \]
                  3. cancel-sign-sub-invN/A

                    \[\leadsto \color{blue}{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot -4 \]
                  4. distribute-rgt-out--N/A

                    \[\leadsto \left(u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{4} - \frac{1}{4}\right)\right)} + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                  5. metadata-evalN/A

                    \[\leadsto \left(u \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\frac{-1}{2}}\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                  6. *-commutativeN/A

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

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

                    \[\leadsto \left(\color{blue}{\left(u \cdot \frac{-1}{2}\right) \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                  9. *-commutativeN/A

                    \[\leadsto \left(\color{blue}{\left(\frac{-1}{2} \cdot u\right)} \cdot \mathsf{PI}\left(\right) + \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                  10. distribute-rgt-outN/A

                    \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right)} \cdot -4 \]
                  11. lower-*.f32N/A

                    \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right)} \cdot -4 \]
                  12. lower-PI.f32N/A

                    \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right) \cdot -4 \]
                  13. lower-fma.f3211.5

                    \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                8. Applied rewrites11.5%

                  \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)\right) \cdot -4} \]
                9. Step-by-step derivation
                  1. Applied rewrites11.7%

                    \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \left(-0.5 \cdot u + 0.25\right)\right) \cdot -4 \]
                  2. Final simplification11.7%

                    \[\leadsto \left(\left(-0.5 \cdot u + 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                  3. Add Preprocessing

                  Alternative 10: 12.2% accurate, 39.2× speedup?

                  \[\begin{array}{l} \\ \left(\left(-\mathsf{PI}\left(\right)\right) \cdot u\right) \cdot 2 \end{array} \]
                  (FPCore (u s) :precision binary32 (* (* (- (PI)) u) 2.0))
                  \begin{array}{l}
                  
                  \\
                  \left(\left(-\mathsf{PI}\left(\right)\right) \cdot u\right) \cdot 2
                  \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. Taylor expanded in s around -inf

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

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

                      \[\leadsto \color{blue}{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4} \]
                    3. cancel-sign-sub-invN/A

                      \[\leadsto \color{blue}{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right)} \cdot -4 \]
                    4. distribute-rgt-out--N/A

                      \[\leadsto \left(u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{4} - \frac{1}{4}\right)\right)} + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                    5. metadata-evalN/A

                      \[\leadsto \left(u \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\frac{-1}{2}}\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                    6. *-commutativeN/A

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

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

                      \[\leadsto \left(\color{blue}{\left(u \cdot \frac{-1}{2}\right) \cdot \mathsf{PI}\left(\right)} + \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                    9. *-commutativeN/A

                      \[\leadsto \left(\color{blue}{\left(\frac{-1}{2} \cdot u\right)} \cdot \mathsf{PI}\left(\right) + \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                    10. distribute-rgt-outN/A

                      \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right)} \cdot -4 \]
                    11. lower-*.f32N/A

                      \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right)} \cdot -4 \]
                    12. lower-PI.f32N/A

                      \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \left(\frac{-1}{2} \cdot u + \frac{1}{4}\right)\right) \cdot -4 \]
                    13. lower-fma.f3211.5

                      \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                  8. Applied rewrites11.5%

                    \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)\right) \cdot -4} \]
                  9. Taylor expanded in u around inf

                    \[\leadsto 2 \cdot \color{blue}{\left(u \cdot \mathsf{PI}\left(\right)\right)} \]
                  10. Step-by-step derivation
                    1. Applied rewrites4.9%

                      \[\leadsto 2 \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot u\right)} \]
                    2. Step-by-step derivation
                      1. Applied rewrites12.6%

                        \[\leadsto 2 \cdot \left({\left(-\mathsf{PI}\left(\right)\right)}^{1} \cdot u\right) \]
                      2. Final simplification12.6%

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

                      Alternative 11: 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

                      Reproduce

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