Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 99.0%
Time: 13.1s
Alternatives: 15
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 15 alternatives:

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

Initial Program: 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: 99.0% accurate, 1.0× speedup?

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

\\
\begin{array}{l}
t_0 := \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}}} - \frac{1}{1 + e^{t\_0}}\right) + \frac{1}{1 + {\mathsf{E}\left(\right)}^{t\_0}}} - 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.9%

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + {\color{blue}{\mathsf{E}\left(\right)}}^{\left(\frac{\mathsf{PI}\left(\right)}{s}\right)}}} - 1\right) \]
    10. lower-E.f3298.9

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + {\color{blue}{\mathsf{E}\left(\right)}}^{\left(\frac{\mathsf{PI}\left(\right)}{s}\right)}}} - 1\right) \]
  4. Applied rewrites98.9%

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

Alternative 2: 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 98.9%

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

Alternative 3: 97.2% accurate, 1.2× speedup?

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

\\
\begin{array}{l}
t_0 := \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}}} - \frac{1}{1 + \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot t\_0\right) \cdot -0.5 - \mathsf{PI}\left(\right)}{s}\right)}\right) + \frac{1}{1 + e^{t\_0}}} - 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.9%

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(1 - \color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}}{s}}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites96.9%

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

Alternative 4: 94.9% accurate, 1.2× speedup?

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

\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + 1\right)}\right) + \frac{1}{1 + e^{\frac{1}{s} \cdot \mathsf{PI}\left(\right)}}} - 1\right)
\end{array}
Derivation
  1. Initial program 98.9%

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} + 1\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. lower-PI.f3294.3

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} + 1\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites94.3%

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + 1\right)}\right) + \frac{1}{1 + e^{\color{blue}{\frac{1}{s} \cdot \mathsf{PI}\left(\right)}}}} - 1\right) \]
    5. lower-/.f3294.3

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + 1\right)}\right) + \frac{1}{1 + e^{\color{blue}{\frac{1}{s}} \cdot \mathsf{PI}\left(\right)}}} - 1\right) \]
  7. Applied rewrites94.3%

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

Alternative 5: 94.9% accurate, 1.2× speedup?

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

\\
\begin{array}{l}
t_0 := \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}}} - \frac{1}{1 + \left(t\_0 + 1\right)}\right) + \frac{1}{1 + e^{t\_0}}} - 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.9%

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} + 1\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. lower-PI.f3294.3

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} + 1\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites94.3%

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

Alternative 6: 37.6% accurate, 1.3× speedup?

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

\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + 1}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right)
\end{array}
Derivation
  1. Initial program 98.9%

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

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

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

    Alternative 7: 6.3% accurate, 2.7× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \mathbf{if}\;s \leq 1.0000000168623835 \cdot 10^{-16}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(-0.5 \cdot u\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, 0.5\right)} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\left(-u\right) \cdot \mathsf{fma}\left(\frac{0.5 - 0.25 \cdot t\_0}{u}, -1, -0.5 \cdot t\_0\right)} - 1\right)\\ \end{array} \end{array} \]
    (FPCore (u s)
     :precision binary32
     (let* ((t_0 (/ (PI) s)))
       (if (<= s 1.0000000168623835e-16)
         (*
          (- s)
          (log (- (/ 1.0 (fma (* (* -0.5 u) (- (PI))) (/ 1.0 s) 0.5)) 1.0)))
         (*
          (- s)
          (log
           (-
            (/ 1.0 (* (- u) (fma (/ (- 0.5 (* 0.25 t_0)) u) -1.0 (* -0.5 t_0))))
            1.0))))))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
    \mathbf{if}\;s \leq 1.0000000168623835 \cdot 10^{-16}:\\
    \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(-0.5 \cdot u\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, 0.5\right)} - 1\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\left(-u\right) \cdot \mathsf{fma}\left(\frac{0.5 - 0.25 \cdot t\_0}{u}, -1, -0.5 \cdot t\_0\right)} - 1\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if s < 1.00000002e-16

      1. Initial program 99.0%

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
      4. Step-by-step derivation
        1. mul-1-negN/A

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

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

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

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{1}{2} - \color{blue}{\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
      5. Applied rewrites-0.0%

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}} - 1\right) \]
      6. Step-by-step derivation
        1. Applied rewrites12.3%

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

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(u \cdot \left(\frac{1}{4} \cdot \frac{1}{u} - \frac{1}{2}\right)\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, \frac{1}{2}\right)} - 1\right) \]
        3. Step-by-step derivation
          1. Applied rewrites12.2%

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

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(\frac{-1}{2} \cdot u\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, \frac{1}{2}\right)} - 1\right) \]
          3. Step-by-step derivation
            1. Applied rewrites12.2%

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

            if 1.00000002e-16 < s

            1. Initial program 98.8%

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

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
            4. Step-by-step derivation
              1. mul-1-negN/A

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

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

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

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{1}{2} - \color{blue}{\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
            5. Applied rewrites-0.0%

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

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{-1 \cdot \color{blue}{\left(u \cdot \left(-1 \cdot \frac{\frac{1}{2} - \frac{1}{4} \cdot \frac{\mathsf{PI}\left(\right)}{s}}{u} - \frac{1}{2} \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)\right)}} - 1\right) \]
            7. Step-by-step derivation
              1. Applied rewrites7.9%

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\left(-u\right) \cdot \color{blue}{\mathsf{fma}\left(\frac{0.5 - 0.25 \cdot \frac{\mathsf{PI}\left(\right)}{s}}{u}, -1, -0.5 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)}} - 1\right) \]
            8. Recombined 2 regimes into one program.
            9. Add Preprocessing

            Alternative 8: 6.2% accurate, 3.2× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := -\mathsf{PI}\left(\right)\\ \mathbf{if}\;s \leq 3.0000001167615996 \cdot 10^{-16}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(-0.5 \cdot u\right) \cdot t\_0, \frac{1}{s}, 0.5\right)} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \frac{t\_0}{s}, 0.5\right)} - 1\right)\\ \end{array} \end{array} \]
            (FPCore (u s)
             :precision binary32
             (let* ((t_0 (- (PI))))
               (if (<= s 3.0000001167615996e-16)
                 (* (- s) (log (- (/ 1.0 (fma (* (* -0.5 u) t_0) (/ 1.0 s) 0.5)) 1.0)))
                 (* (- s) (log (- (/ 1.0 (fma (fma -0.5 u 0.25) (/ t_0 s) 0.5)) 1.0))))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := -\mathsf{PI}\left(\right)\\
            \mathbf{if}\;s \leq 3.0000001167615996 \cdot 10^{-16}:\\
            \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(-0.5 \cdot u\right) \cdot t\_0, \frac{1}{s}, 0.5\right)} - 1\right)\\
            
            \mathbf{else}:\\
            \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \frac{t\_0}{s}, 0.5\right)} - 1\right)\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if s < 3.0000001e-16

              1. Initial program 99.0%

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

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
              4. Step-by-step derivation
                1. mul-1-negN/A

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

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

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

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{1}{2} - \color{blue}{\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
              5. Applied rewrites-0.0%

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}} - 1\right) \]
              6. Step-by-step derivation
                1. Applied rewrites12.2%

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

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(u \cdot \left(\frac{1}{4} \cdot \frac{1}{u} - \frac{1}{2}\right)\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, \frac{1}{2}\right)} - 1\right) \]
                3. Step-by-step derivation
                  1. Applied rewrites12.1%

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

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\left(\frac{-1}{2} \cdot u\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \frac{1}{s}, \frac{1}{2}\right)} - 1\right) \]
                  3. Step-by-step derivation
                    1. Applied rewrites12.1%

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

                    if 3.0000001e-16 < s

                    1. Initial program 98.8%

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

                      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
                    4. Step-by-step derivation
                      1. mul-1-negN/A

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

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

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

                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{1}{2} - \color{blue}{\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
                    5. Applied rewrites-0.0%

                      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}} - 1\right) \]
                    6. Step-by-step derivation
                      1. Applied rewrites7.2%

                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \color{blue}{\frac{1}{s}}, 0.5\right)} - 1\right) \]
                      2. Step-by-step derivation
                        1. Applied rewrites7.2%

                          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \color{blue}{\frac{-\mathsf{PI}\left(\right)}{s}}, 0.5\right)} - 1\right) \]
                      3. Recombined 2 regimes into one program.
                      4. Add Preprocessing

                      Alternative 9: 5.1% accurate, 3.3× speedup?

                      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 2.000000033724767 \cdot 10^{-16}:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{0}{s} \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \frac{-\mathsf{PI}\left(\right)}{s}, 0.5\right)} - 1\right)\\ \end{array} \end{array} \]
                      (FPCore (u s)
                       :precision binary32
                       (if (<= s 2.000000033724767e-16)
                         (fma (fma (* 0.5 (PI)) u (* -0.25 (pow (PI) 1.0))) 4.0 (* (/ 0.0 s) -0.5))
                         (* (- s) (log (- (/ 1.0 (fma (fma -0.5 u 0.25) (/ (- (PI)) s) 0.5)) 1.0)))))
                      \begin{array}{l}
                      
                      \\
                      \begin{array}{l}
                      \mathbf{if}\;s \leq 2.000000033724767 \cdot 10^{-16}:\\
                      \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{0}{s} \cdot -0.5\right)\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \frac{-\mathsf{PI}\left(\right)}{s}, 0.5\right)} - 1\right)\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 2 regimes
                      2. if s < 2.00000003e-16

                        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-exp.f32N/A

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

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

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

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

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

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

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

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

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

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

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

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

                          \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot \mathsf{PI}\left(\right)\right), 4, \frac{\mathsf{fma}\left(\mathsf{fma}\left({\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -8, 0\right), -2, {\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} \cdot -16\right)}{s} \cdot -0.5\right)} \]
                        7. Step-by-step derivation
                          1. Applied rewrites7.2%

                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{\mathsf{fma}\left(\mathsf{fma}\left({\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, -8, 0\right), -2, {\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} \cdot -16\right)}{s} \cdot -0.5\right) \]
                          2. Taylor expanded in u around 0

                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{1}{2} \cdot \mathsf{PI}\left(\right), u, \frac{-1}{4} \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{-1 \cdot {\mathsf{PI}\left(\right)}^{2} + \left(u \cdot \left(-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}\right) + {\mathsf{PI}\left(\right)}^{2}\right)}{s} \cdot \frac{-1}{2}\right) \]
                          3. Step-by-step derivation
                            1. Applied rewrites4.4%

                              \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{0 + 0 \cdot u}{s} \cdot -0.5\right) \]

                            if 2.00000003e-16 < s

                            1. Initial program 98.8%

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

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
                            4. Step-by-step derivation
                              1. mul-1-negN/A

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

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

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

                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{1}{2} - \color{blue}{\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
                            5. Applied rewrites-0.0%

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}} - 1\right) \]
                            6. Step-by-step derivation
                              1. Applied rewrites7.3%

                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right) \cdot \left(-\mathsf{PI}\left(\right)\right), \color{blue}{\frac{1}{s}}, 0.5\right)} - 1\right) \]
                              2. Step-by-step derivation
                                1. Applied rewrites7.3%

                                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \color{blue}{\frac{-\mathsf{PI}\left(\right)}{s}}, 0.5\right)} - 1\right) \]
                              3. Recombined 2 regimes into one program.
                              4. Final simplification2.6%

                                \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 2.000000033724767 \cdot 10^{-16}:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, -0.25 \cdot {\mathsf{PI}\left(\right)}^{1}\right), 4, \frac{0}{s} \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, u, 0.25\right), \frac{-\mathsf{PI}\left(\right)}{s}, 0.5\right)} - 1\right)\\ \end{array} \]
                              5. Add Preprocessing

                              Alternative 10: 11.6% accurate, 10.6× speedup?

                              \[\begin{array}{l} \\ \left(\mathsf{PI}\left(\right) \cdot \frac{\left(-0.5 \cdot u\right) \cdot \left(-0.5 \cdot u\right) - 0.0625}{-0.5 \cdot u - 0.25}\right) \cdot -4 \end{array} \]
                              (FPCore (u s)
                               :precision binary32
                               (*
                                (* (PI) (/ (- (* (* -0.5 u) (* -0.5 u)) 0.0625) (- (* -0.5 u) 0.25)))
                                -4.0))
                              \begin{array}{l}
                              
                              \\
                              \left(\mathsf{PI}\left(\right) \cdot \frac{\left(-0.5 \cdot u\right) \cdot \left(-0.5 \cdot u\right) - 0.0625}{-0.5 \cdot u - 0.25}\right) \cdot -4
                              \end{array}
                              
                              Derivation
                              1. Initial program 98.9%

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

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

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

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

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

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

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

                                  \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u\right)} + \mathsf{PI}\left(\right) \cdot \frac{1}{4}\right) \cdot -4 \]
                                10. distribute-lft-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.f3211.1

                                  \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                              5. Applied rewrites11.1%

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

                                  \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \frac{\left(-0.5 \cdot u\right) \cdot \left(-0.5 \cdot u\right) - 0.0625}{-0.5 \cdot u - 0.25}\right) \cdot -4 \]
                                2. Add Preprocessing

                                Alternative 11: 11.6% accurate, 20.4× speedup?

                                \[\begin{array}{l} \\ \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u \end{array} \]
                                (FPCore (u s) :precision binary32 (* (- (* 2.0 (PI)) (/ (PI) u)) u))
                                \begin{array}{l}
                                
                                \\
                                \left(2 \cdot \mathsf{PI}\left(\right) - \frac{\mathsf{PI}\left(\right)}{u}\right) \cdot u
                                \end{array}
                                
                                Derivation
                                1. Initial program 98.9%

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

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

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

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

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

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

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

                                    \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u\right)} + \mathsf{PI}\left(\right) \cdot \frac{1}{4}\right) \cdot -4 \]
                                  10. distribute-lft-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.f3211.1

                                    \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                                5. Applied rewrites11.1%

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

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

                                  Alternative 12: 11.6% accurate, 21.3× speedup?

                                  \[\begin{array}{l} \\ \left(\left(-0.5 \cdot u\right) \cdot \mathsf{PI}\left(\right) + 0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \end{array} \]
                                  (FPCore (u s)
                                   :precision binary32
                                   (* (+ (* (* -0.5 u) (PI)) (* 0.25 (PI))) -4.0))
                                  \begin{array}{l}
                                  
                                  \\
                                  \left(\left(-0.5 \cdot u\right) \cdot \mathsf{PI}\left(\right) + 0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot -4
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 98.9%

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

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

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

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

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

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

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

                                      \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u\right)} + \mathsf{PI}\left(\right) \cdot \frac{1}{4}\right) \cdot -4 \]
                                    10. distribute-lft-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.f3211.1

                                      \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                                  5. Applied rewrites11.1%

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

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

                                    Alternative 13: 11.6% accurate, 26.8× speedup?

                                    \[\begin{array}{l} \\ \left(\mathsf{PI}\left(\right) \cdot \left(-0.5 \cdot u + 0.25\right)\right) \cdot -4 \end{array} \]
                                    (FPCore (u s) :precision binary32 (* (* (PI) (+ (* -0.5 u) 0.25)) -4.0))
                                    \begin{array}{l}
                                    
                                    \\
                                    \left(\mathsf{PI}\left(\right) \cdot \left(-0.5 \cdot u + 0.25\right)\right) \cdot -4
                                    \end{array}
                                    
                                    Derivation
                                    1. Initial program 98.9%

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

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

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

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

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

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

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

                                        \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u\right)} + \mathsf{PI}\left(\right) \cdot \frac{1}{4}\right) \cdot -4 \]
                                      10. distribute-lft-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.f3211.1

                                        \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                                    5. Applied rewrites11.1%

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

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

                                      Alternative 14: 7.3% accurate, 30.0× speedup?

                                      \[\begin{array}{l} \\ \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)\right) \cdot -4 \end{array} \]
                                      (FPCore (u s) :precision binary32 (* (* (PI) (fma -0.5 u 0.25)) -4.0))
                                      \begin{array}{l}
                                      
                                      \\
                                      \left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(-0.5, u, 0.25\right)\right) \cdot -4
                                      \end{array}
                                      
                                      Derivation
                                      1. Initial program 98.9%

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

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

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

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

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

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

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

                                          \[\leadsto \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{-1}{2} \cdot u\right)} + \mathsf{PI}\left(\right) \cdot \frac{1}{4}\right) \cdot -4 \]
                                        10. distribute-lft-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.f3211.1

                                          \[\leadsto \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{fma}\left(-0.5, u, 0.25\right)}\right) \cdot -4 \]
                                      5. Applied rewrites11.1%

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

                                      Alternative 15: 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 98.9%

                                        \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                      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.f3211.1

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

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

                                      Reproduce

                                      ?
                                      herbie shell --seed 2024322 
                                      (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))))