Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 98.9%
Time: 10.0s
Alternatives: 18
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 18 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?

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

Alternative 2: 97.5% accurate, 1.3× speedup?

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

\\
\left(-s\right) \cdot \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)
\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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
  5. Applied rewrites98.5%

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

Alternative 3: 96.5% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \end{array} \]
(FPCore (u s)
 :precision binary32
 (*
  (- s)
  (log
   (-
    (/
     1.0
     (*
      (-
       (/ 1.0 (+ (exp (/ (- (PI)) s)) 1.0))
       (/ 1.0 (+ 2.0 (/ (fma 0.5 (* (PI) (PI)) (* s (PI))) (* s s)))))
      u))
    1.0))))
\begin{array}{l}

\\
\left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
  5. Applied rewrites98.5%

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(\frac{1}{2}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
    11. lift-PI.f3297.5

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
  8. Applied rewrites97.5%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
  9. Taylor expanded in s around 0

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{{s}^{2}}}\right) \cdot u} - 1\right) \]
    9. pow2N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \]
    10. lift-*.f3297.5

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \]
  11. Applied rewrites97.5%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \]
  12. Add Preprocessing

Alternative 4: 96.5% accurate, 1.7× speedup?

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

\\
\left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{\frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
  5. Applied rewrites98.5%

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(\frac{1}{2}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
    11. lift-PI.f3297.5

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
  8. Applied rewrites97.5%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
  9. Taylor expanded in s around 0

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{{s}^{2}}}\right) \cdot u} - 1\right) \]
    9. pow2N/A

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \]
    10. lift-*.f3297.5

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{\frac{\mathsf{fma}\left(0.5, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), s \cdot \mathsf{PI}\left(\right)\right)}{s \cdot s}}\right) \cdot u} - 1\right) \]
  11. Applied rewrites97.5%

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

Alternative 5: 94.3% accurate, 1.8× speedup?

\[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{PI}\left(\right)}{s}}\right) \cdot u} - 1\right) \end{array} \]
(FPCore (u s)
 :precision binary32
 (*
  (- s)
  (log
   (-
    (/
     1.0
     (* (- (/ 1.0 (+ (exp (/ (- (PI)) s)) 1.0)) (/ 1.0 (+ 2.0 (/ (PI) s)))) u))
    1.0))))
\begin{array}{l}

\\
\left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{PI}\left(\right)}{s}}\right) \cdot u} - 1\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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
  5. Applied rewrites98.5%

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{PI}\left(\right)}{s}}\right) \cdot u} - 1\right) \]
    3. lift-PI.f3294.9

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \frac{\mathsf{PI}\left(\right)}{s}}\right) \cdot u} - 1\right) \]
  8. Applied rewrites94.9%

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

Alternative 6: 37.0% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{\left(0.5 - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \end{array} \]
(FPCore (u s)
 :precision binary32
 (*
  (- s)
  (log (- (/ 1.0 (* (- 0.5 (/ 1.0 (+ (exp (/ (PI) s)) 1.0))) u)) 1.0))))
\begin{array}{l}

\\
\left(-s\right) \cdot \log \left(\frac{1}{\left(0.5 - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
  5. Applied rewrites98.5%

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

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{2} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \]
  7. Step-by-step derivation
    1. Applied rewrites37.5%

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

    Alternative 7: 37.0% accurate, 2.8× speedup?

    \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{\left(0.5 - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \end{array} \]
    (FPCore (u s)
     :precision binary32
     (*
      (- s)
      (log
       (-
        (/
         1.0
         (*
          (- 0.5 (/ 1.0 (+ 2.0 (fma 0.5 (/ (* (PI) (PI)) (* s s)) (/ (PI) s)))))
          u))
        1.0))))
    \begin{array}{l}
    
    \\
    \left(-s\right) \cdot \log \left(\frac{1}{\left(0.5 - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot \color{blue}{u}} - 1\right) \]
    5. Applied rewrites98.5%

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(\frac{1}{2}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
      11. lift-PI.f3297.5

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
    8. Applied rewrites97.5%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
    9. Taylor expanded in s around inf

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(\frac{1}{2} - \frac{1}{2 + \mathsf{fma}\left(\frac{1}{2}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
    10. Step-by-step derivation
      1. Applied rewrites37.5%

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(0.5 - \frac{1}{2 + \mathsf{fma}\left(0.5, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s \cdot s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \cdot u} - 1\right) \]
      2. Add Preprocessing

      Alternative 8: 25.0% accurate, 3.4× speedup?

      \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) \end{array} \]
      (FPCore (u s)
       :precision binary32
       (*
        (- s)
        (log
         (+
          1.0
          (* -4.0 (/ (fma -0.0625 (fma 4.0 (PI) (* 8.0 (PI))) (* 0.5 (PI))) s))))))
      \begin{array}{l}
      
      \\
      \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)}{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. Applied rewrites99.0%

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right)}^{3} + {\left(\frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}^{3}}{\mathsf{fma}\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right) \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}}} - 1\right) \]
      4. Taylor expanded in s around inf

        \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 + -1 \cdot \frac{4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right) + 4 \cdot \left(\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)} \]
      5. Step-by-step derivation
        1. Applied rewrites25.6%

          \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 + -1 \cdot \frac{\mathsf{fma}\left(4, u \cdot \left(0.25 \cdot \mathsf{PI}\left(\right) - -0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right)} \]
        2. Taylor expanded in u around 0

          \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \color{blue}{\frac{\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}}\right) \]
        3. Step-by-step derivation
          1. lower-*.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{\color{blue}{s}}\right) \]
          2. lower-/.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          3. lift-*.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          4. lift-PI.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          5. lift-fma.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          6. lift-PI.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          7. lift-*.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          8. lift-PI.f32N/A

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\frac{-1}{16} \cdot \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)}{s}\right) \]
          9. lift-fma.f3225.7

            \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \frac{\mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) \]
        4. Applied rewrites25.7%

          \[\leadsto \left(-s\right) \cdot \log \left(1 + -4 \cdot \color{blue}{\frac{\mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)}{s}}\right) \]
        5. Add Preprocessing

        Alternative 9: 24.5% accurate, 3.6× speedup?

        \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\left(2 - -0.25 \cdot \frac{\mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - 1\right) \end{array} \]
        (FPCore (u s)
         :precision binary32
         (* (- s) (log (- (- 2.0 (* -0.25 (/ (fma 4.0 (PI) (* 8.0 (PI))) s))) 1.0))))
        \begin{array}{l}
        
        \\
        \left(-s\right) \cdot \log \left(\left(2 - -0.25 \cdot \frac{\mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - 1\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. Applied rewrites99.0%

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right)}^{3} + {\left(\frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}^{3}}{\mathsf{fma}\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right) \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}}} - 1\right) \]
        4. Taylor expanded in s around inf

          \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\left(\left(2 + -8 \cdot \frac{\frac{1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) - \frac{-1}{4} \cdot \frac{4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)}{s}\right)} - 1\right) \]
        5. Step-by-step derivation
          1. Applied rewrites25.5%

            \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\left(\left(2 + -8 \cdot \frac{\mathsf{fma}\left(0.25, \mathsf{PI}\left(\right), 0.5 \cdot \left(u \cdot \left(0.25 \cdot \mathsf{PI}\left(\right) - -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)\right)}{s}\right) - -0.25 \cdot \frac{\mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right)}{s}\right)} - 1\right) \]
          2. Taylor expanded in s around inf

            \[\leadsto \left(-s\right) \cdot \log \left(\left(2 - \color{blue}{\frac{-1}{4}} \cdot \frac{\mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - 1\right) \]
          3. Step-by-step derivation
            1. Applied rewrites25.6%

              \[\leadsto \left(-s\right) \cdot \log \left(\left(2 - \color{blue}{-0.25} \cdot \frac{\mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - 1\right) \]
            2. Add Preprocessing

            Alternative 10: 24.8% accurate, 3.6× speedup?

            \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, -4, 1\right)\right) \end{array} \]
            (FPCore (u s)
             :precision binary32
             (* (- s) (log (fma (/ (fma (* (PI) 0.5) u (* -0.25 (PI))) s) -4.0 1.0))))
            \begin{array}{l}
            
            \\
            \left(-s\right) \cdot \log \left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, -4, 1\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

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

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

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)}{s} \cdot -4 + 1\right) \]
              3. lower-fma.f32N/A

                \[\leadsto \left(-s\right) \cdot \log \left(\mathsf{fma}\left(\frac{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)}{s}, \color{blue}{-4}, 1\right)\right) \]
            5. Applied rewrites25.6%

              \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\mathsf{fma}\left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, -4, 1\right)\right)} \]
            6. Final simplification25.6%

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

            Alternative 11: 11.6% accurate, 6.3× speedup?

            \[\begin{array}{l} \\ \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, -0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{u}\right)}{s} \end{array} \]
            (FPCore (u s)
             :precision binary32
             (*
              (- s)
              (/
               (*
                u
                (fma
                 4.0
                 (- (* -0.25 (PI)) (* 0.25 (PI)))
                 (* 4.0 (/ (fma -0.5 (PI) (* -0.0625 (fma -8.0 (PI) (* -4.0 (PI))))) u))))
               s)))
            \begin{array}{l}
            
            \\
            \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, -0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{u}\right)}{s}
            \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. Applied rewrites99.0%

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right)}^{3} + {\left(\frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}^{3}}{\mathsf{fma}\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right) \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}}} - 1\right) \]
            4. Taylor expanded in s around -inf

              \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)\right) + 4 \cdot \left(\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{s}} \]
            5. Step-by-step derivation
              1. Applied rewrites11.6%

                \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{fma}\left(4, u \cdot \left(-0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)\right)}{s}} \]
              2. Taylor expanded in u around inf

                \[\leadsto \left(-s\right) \cdot \frac{u \cdot \left(4 \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) + 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
              3. Step-by-step derivation
                1. lower-*.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \left(4 \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) + 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                2. lower-fma.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                3. lift-*.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                4. lift-PI.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                5. lift-*.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                6. lift-PI.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
                7. lift--.f32N/A

                  \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, \frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}{s} \]
              4. Applied rewrites11.6%

                \[\leadsto \left(-s\right) \cdot \frac{u \cdot \mathsf{fma}\left(4, -0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right), 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{u}\right)}{s} \]
              5. Add Preprocessing

              Alternative 12: 11.6% accurate, 6.3× speedup?

              \[\begin{array}{l} \\ \left(-s\right) \cdot \mathsf{fma}\left(4, \frac{u \cdot \left(-0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) \end{array} \]
              (FPCore (u s)
               :precision binary32
               (*
                (- s)
                (fma
                 4.0
                 (/ (* u (- (* -0.25 (PI)) (* 0.25 (PI)))) s)
                 (* 4.0 (/ (fma -0.5 (PI) (* -0.0625 (fma -8.0 (PI) (* -4.0 (PI))))) s)))))
              \begin{array}{l}
              
              \\
              \left(-s\right) \cdot \mathsf{fma}\left(4, \frac{u \cdot \left(-0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{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. Applied rewrites99.0%

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right)}^{3} + {\left(\frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}^{3}}{\mathsf{fma}\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right) \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}}} - 1\right) \]
              4. Taylor expanded in s around -inf

                \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)\right) + 4 \cdot \left(\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{s}} \]
              5. Step-by-step derivation
                1. Applied rewrites11.6%

                  \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{fma}\left(4, u \cdot \left(-0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)\right)}{s}} \]
                2. Taylor expanded in u around 0

                  \[\leadsto \left(-s\right) \cdot \left(4 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s} + \color{blue}{4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{s}}\right) \]
                3. Step-by-step derivation
                  1. lower-fma.f32N/A

                    \[\leadsto \left(-s\right) \cdot \mathsf{fma}\left(4, \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}{\color{blue}{s}}, 4 \cdot \frac{\frac{-1}{2} \cdot \mathsf{PI}\left(\right) + \frac{-1}{16} \cdot \left(-8 \cdot \mathsf{PI}\left(\right) + -4 \cdot \mathsf{PI}\left(\right)\right)}{s}\right) \]
                4. Applied rewrites11.6%

                  \[\leadsto \left(-s\right) \cdot \mathsf{fma}\left(4, \color{blue}{\frac{u \cdot \left(-0.25 \cdot \mathsf{PI}\left(\right) - 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}}, 4 \cdot \frac{\mathsf{fma}\left(-0.5, \mathsf{PI}\left(\right), -0.0625 \cdot \mathsf{fma}\left(-8, \mathsf{PI}\left(\right), -4 \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) \]
                5. Add Preprocessing

                Alternative 13: 11.6% accurate, 9.8× speedup?

                \[\begin{array}{l} \\ \mathsf{fma}\left(4, u \cdot \left(0.25 \cdot \mathsf{PI}\left(\right) - -0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \end{array} \]
                (FPCore (u s)
                 :precision binary32
                 (fma
                  4.0
                  (* u (- (* 0.25 (PI)) (* -0.25 (PI))))
                  (* 4.0 (fma -0.0625 (fma 4.0 (PI) (* 8.0 (PI))) (* 0.5 (PI))))))
                \begin{array}{l}
                
                \\
                \mathsf{fma}\left(4, u \cdot \left(0.25 \cdot \mathsf{PI}\left(\right) - -0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \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. Applied rewrites99.0%

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right)}^{3} + {\left(\frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}^{3}}{\mathsf{fma}\left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u, \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \left(\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u\right) \cdot \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right)}}} - 1\right) \]
                4. Taylor expanded in s around inf

                  \[\leadsto \color{blue}{4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right) + 4 \cdot \left(\frac{-1}{16} \cdot \left(4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right)} \]
                5. Step-by-step derivation
                  1. Applied rewrites11.6%

                    \[\leadsto \color{blue}{\mathsf{fma}\left(4, u \cdot \left(0.25 \cdot \mathsf{PI}\left(\right) - -0.25 \cdot \mathsf{PI}\left(\right)\right), 4 \cdot \mathsf{fma}\left(-0.0625, \mathsf{fma}\left(4, \mathsf{PI}\left(\right), 8 \cdot \mathsf{PI}\left(\right)\right), 0.5 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                  2. Add Preprocessing

                  Alternative 14: 11.6% accurate, 12.8× speedup?

                  \[\begin{array}{l} \\ \left(-s\right) \cdot \left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s} \cdot -4\right) \end{array} \]
                  (FPCore (u s)
                   :precision binary32
                   (* (- s) (* (/ (fma (* (PI) 0.5) u (* -0.25 (PI))) s) -4.0)))
                  \begin{array}{l}
                  
                  \\
                  \left(-s\right) \cdot \left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s} \cdot -4\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

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

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

                      \[\leadsto \left(-s\right) \cdot \left(\frac{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)}{s} \cdot \color{blue}{-4}\right) \]
                  5. Applied rewrites11.6%

                    \[\leadsto \left(-s\right) \cdot \color{blue}{\left(\frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right)}{s} \cdot -4\right)} \]
                  6. Add Preprocessing

                  Alternative 15: 11.6% accurate, 18.2× speedup?

                  \[\begin{array}{l} \\ u \cdot \mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\right)\right) \end{array} \]
                  (FPCore (u s) :precision binary32 (* u (fma -1.0 (/ (PI) u) (* 2.0 (PI)))))
                  \begin{array}{l}
                  
                  \\
                  u \cdot \mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\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

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

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

                      \[\leadsto \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{4} \]
                  5. Applied rewrites11.6%

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

                    \[\leadsto u \cdot \color{blue}{\left(-1 \cdot \frac{\mathsf{PI}\left(\right)}{u} + 2 \cdot \mathsf{PI}\left(\right)\right)} \]
                  7. Step-by-step derivation
                    1. lower-*.f32N/A

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

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

                      \[\leadsto u \cdot \mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\right)\right) \]
                    4. lift-PI.f32N/A

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

                      \[\leadsto u \cdot \mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\right)\right) \]
                    6. lift-PI.f3211.6

                      \[\leadsto u \cdot \mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\right)\right) \]
                  8. Applied rewrites11.6%

                    \[\leadsto u \cdot \color{blue}{\mathsf{fma}\left(-1, \frac{\mathsf{PI}\left(\right)}{u}, 2 \cdot \mathsf{PI}\left(\right)\right)} \]
                  9. Add Preprocessing

                  Alternative 16: 11.6% accurate, 23.2× speedup?

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

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

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

                      \[\leadsto \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{4} \]
                  5. Applied rewrites11.6%

                    \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot 0.5, u, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4} \]
                  6. Add Preprocessing

                  Alternative 17: 11.6% accurate, 30.0× speedup?

                  \[\begin{array}{l} \\ \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \end{array} \]
                  (FPCore (u s) :precision binary32 (fma -1.0 (PI) (* 2.0 (* u (PI)))))
                  \begin{array}{l}
                  
                  \\
                  \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \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

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

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

                      \[\leadsto \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{4} \]
                  5. Applied rewrites11.6%

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

                    \[\leadsto -1 \cdot \mathsf{PI}\left(\right) + \color{blue}{2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)} \]
                  7. Step-by-step derivation
                    1. lower-fma.f32N/A

                      \[\leadsto \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \]
                    2. lift-PI.f32N/A

                      \[\leadsto \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \]
                    3. lower-*.f32N/A

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

                      \[\leadsto \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \]
                    5. lift-PI.f3211.6

                      \[\leadsto \mathsf{fma}\left(-1, \mathsf{PI}\left(\right), 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \]
                  8. Applied rewrites11.6%

                    \[\leadsto \mathsf{fma}\left(-1, \color{blue}{\mathsf{PI}\left(\right)}, 2 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) \]
                  9. Add Preprocessing

                  Alternative 18: 11.4% 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

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

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

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

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

                  Reproduce

                  ?
                  herbie shell --seed 2025028 
                  (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))))