Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 98.9%
Time: 14.5s
Alternatives: 16
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 16 alternatives:

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

Initial Program: 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?

\[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{1}{s} \cdot \mathsf{PI}\left(\right)}}} - 1\right) \end{array} \]
(FPCore (u s)
 :precision binary32
 (*
  (- s)
  (log
   (-
    (/
     1.0
     (+
      (*
       u
       (-
        (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s))))
        (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))
      (/ 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 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{1}{s} \cdot \mathsf{PI}\left(\right)}}} - 1\right)
\end{array}
Derivation
  1. Initial program 99.1%

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

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

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

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

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

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

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

Alternative 2: 51.1% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \mathbf{if}\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_1\right) + t\_1} - 1\right) \leq -2.9999999050033628 \cdot 10^{-15}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
   (if (<=
        (*
         (- s)
         (log
          (-
           (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) t_1)) t_1))
           1.0)))
        -2.9999999050033628e-15)
     (*
      (- s)
      (log
       (-
        (/
         1.0
         (+
          (*
           u
           (-
            (/
             1.0
             (+ 1.0 (fma (- (fma (* t_0 (PI)) -0.5 (PI))) (/ 1.0 s) 1.0)))
            t_1))
          t_1))
        1.0)))
     (*
      (- s)
      (log
       (-
        (/
         1.0
         (+
          (*
           u
           (-
            (/ 1.0 (+ 1.0 (fma (fma (* -0.5 (PI)) t_0 (PI)) (/ -1.0 s) 1.0)))
            t_1))
          t_1))
        1.0))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
t_1 := \frac{1}{1 + e^{t\_0}}\\
\mathbf{if}\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_1\right) + t\_1} - 1\right) \leq -2.9999999050033628 \cdot 10^{-15}:\\
\;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\

\mathbf{else}:\\
\;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32)))) < -2.99999991e-15

    1. Initial program 99.0%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      14. lower-PI.f329.9

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. Applied rewrites10.7%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. Step-by-step derivation
      1. Applied rewrites50.0%

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

      if -2.99999991e-15 < (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32))))

      1. Initial program 99.2%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        14. lower-PI.f320.0

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      5. Applied rewrites0.0%

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
      6. Step-by-step derivation
        1. Applied rewrites0.0%

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        2. Step-by-step derivation
          1. Applied rewrites48.6%

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right), \color{blue}{-\frac{1}{s}}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        3. Recombined 2 regimes into one program.
        4. Final simplification49.9%

          \[\leadsto \begin{array}{l} \mathbf{if}\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \leq -2.9999999050033628 \cdot 10^{-15}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right)\\ \end{array} \]
        5. Add Preprocessing

        Alternative 3: 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 99.1%

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

        Alternative 4: 52.6% accurate, 1.1× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \mathbf{if}\;s \leq 9.999999998199587 \cdot 10^{-24}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \end{array} \end{array} \]
        (FPCore (u s)
         :precision binary32
         (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
           (if (<= s 9.999999998199587e-24)
             (*
              (- s)
              (log
               (-
                (/
                 1.0
                 (+
                  (*
                   u
                   (-
                    (/
                     1.0
                     (+ 1.0 (fma (- (fma (* -0.5 (PI)) t_0 (PI))) (/ 1.0 s) 1.0)))
                    t_1))
                  t_1))
                1.0)))
             (*
              (- s)
              (log
               (-
                (/
                 1.0
                 (+
                  (*
                   u
                   (-
                    (/
                     1.0
                     (+ 1.0 (fma (- (fma (* t_0 (PI)) -0.5 (PI))) (/ 1.0 s) 1.0)))
                    t_1))
                  t_1))
                1.0))))))
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
        t_1 := \frac{1}{1 + e^{t\_0}}\\
        \mathbf{if}\;s \leq 9.999999998199587 \cdot 10^{-24}:\\
        \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if s < 1e-23

          1. Initial program 99.3%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
            14. lower-PI.f320.0

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          5. Applied rewrites0.0%

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
          6. Step-by-step derivation
            1. Applied rewrites0.1%

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
            2. Step-by-step derivation
              1. Applied rewrites51.2%

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

              if 1e-23 < s

              1. Initial program 99.0%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                14. lower-PI.f325.3

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
              5. Applied rewrites6.4%

                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
              6. Step-by-step derivation
                1. Applied rewrites51.0%

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

              Alternative 5: 53.8% accurate, 1.1× speedup?

              \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \mathbf{if}\;s \leq 4.999999999099794 \cdot 10^{-24}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \end{array} \end{array} \]
              (FPCore (u s)
               :precision binary32
               (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
                 (if (<= s 4.999999999099794e-24)
                   (*
                    (- s)
                    (log
                     (-
                      (/
                       1.0
                       (+
                        (*
                         u
                         (-
                          (/
                           1.0
                           (+ 1.0 (fma (- (fma (* -0.5 (PI)) t_0 (PI))) (/ 1.0 s) 1.0)))
                          t_1))
                        t_1))
                      1.0)))
                   (*
                    (- s)
                    (log
                     (-
                      (/
                       1.0
                       (+
                        (*
                         u
                         (-
                          (/ 1.0 (+ 1.0 (fma -1.0 (/ (fma (* t_0 (PI)) -0.5 (PI)) s) 1.0)))
                          t_1))
                        t_1))
                      1.0))))))
              \begin{array}{l}
              
              \\
              \begin{array}{l}
              t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
              t_1 := \frac{1}{1 + e^{t\_0}}\\
              \mathbf{if}\;s \leq 4.999999999099794 \cdot 10^{-24}:\\
              \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
              
              \mathbf{else}:\\
              \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
              
              
              \end{array}
              \end{array}
              
              Derivation
              1. Split input into 2 regimes
              2. if s < 5e-24

                1. Initial program 99.4%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                  14. lower-PI.f320.0

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                5. Applied rewrites0.0%

                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                6. Step-by-step derivation
                  1. Applied rewrites0.0%

                    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                  2. Step-by-step derivation
                    1. Applied rewrites50.1%

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

                    if 5e-24 < s

                    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

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

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

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

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

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

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

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

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

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

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

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

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

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

                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                      14. lower-PI.f324.4

                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                    5. Applied rewrites5.0%

                      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                    6. Step-by-step derivation
                      1. Applied rewrites54.6%

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

                    Alternative 6: 55.7% accurate, 1.2× speedup?

                    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \mathbf{if}\;u \leq 0.0004600000102072954:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\ \end{array} \end{array} \]
                    (FPCore (u s)
                     :precision binary32
                     (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
                       (if (<= u 0.0004600000102072954)
                         (*
                          (- s)
                          (log
                           (-
                            (/
                             1.0
                             (+
                              (*
                               u
                               (-
                                (/ 1.0 (+ 1.0 (fma (fma (* t_0 (PI)) -0.5 (PI)) (/ -1.0 s) 1.0)))
                                t_1))
                              t_1))
                            1.0)))
                         (*
                          (- s)
                          (log
                           (-
                            (/
                             1.0
                             (+
                              (*
                               u
                               (-
                                (/ 1.0 (+ 1.0 (fma (fma (* -0.5 (PI)) t_0 (PI)) (/ -1.0 s) 1.0)))
                                t_1))
                              t_1))
                            1.0))))))
                    \begin{array}{l}
                    
                    \\
                    \begin{array}{l}
                    t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
                    t_1 := \frac{1}{1 + e^{t\_0}}\\
                    \mathbf{if}\;u \leq 0.0004600000102072954:\\
                    \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
                    
                    \mathbf{else}:\\
                    \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)\\
                    
                    
                    \end{array}
                    \end{array}
                    
                    Derivation
                    1. Split input into 2 regimes
                    2. if u < 4.6000001e-4

                      1. Initial program 99.2%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                        14. lower-PI.f323.8

                          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                      5. Applied rewrites3.8%

                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                      6. Step-by-step derivation
                        1. Applied rewrites51.7%

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

                        if 4.6000001e-4 < u

                        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

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

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

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

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

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

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

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

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

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

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

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

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

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

                            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          14. lower-PI.f320.6

                            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                        5. Applied rewrites0.6%

                          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                        6. Step-by-step derivation
                          1. Applied rewrites1.2%

                            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          2. Step-by-step derivation
                            1. Applied rewrites44.9%

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right), \color{blue}{-\frac{1}{s}}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          3. Recombined 2 regimes into one program.
                          4. Final simplification50.5%

                            \[\leadsto \begin{array}{l} \mathbf{if}\;u \leq 0.0004600000102072954:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right), \frac{-1}{s}, 1\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right)\\ \end{array} \]
                          5. Add Preprocessing

                          Alternative 7: 52.8% accurate, 1.2× speedup?

                          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right) \end{array} \end{array} \]
                          (FPCore (u s)
                           :precision binary32
                           (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
                             (*
                              (- s)
                              (log
                               (-
                                (/
                                 1.0
                                 (+
                                  (*
                                   u
                                   (-
                                    (/ 1.0 (+ 1.0 (fma -1.0 (/ (fma (* t_0 (PI)) -0.5 (PI)) s) 1.0)))
                                    t_1))
                                  t_1))
                                1.0)))))
                          \begin{array}{l}
                          
                          \\
                          \begin{array}{l}
                          t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
                          t_1 := \frac{1}{1 + e^{t\_0}}\\
                          \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(t\_0 \cdot \mathsf{PI}\left(\right), -0.5, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)
                          \end{array}
                          \end{array}
                          
                          Derivation
                          1. Initial program 99.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                            14. lower-PI.f322.6

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          5. Applied rewrites2.3%

                            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                          6. Step-by-step derivation
                            1. Applied rewrites53.4%

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

                            Alternative 8: 56.4% accurate, 1.2× speedup?

                            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{1}{1 + e^{t\_0}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right) \end{array} \end{array} \]
                            (FPCore (u s)
                             :precision binary32
                             (let* ((t_0 (/ (PI) s)) (t_1 (/ 1.0 (+ 1.0 (exp t_0)))))
                               (*
                                (- s)
                                (log
                                 (-
                                  (/
                                   1.0
                                   (+
                                    (*
                                     u
                                     (-
                                      (/ 1.0 (+ 1.0 (fma -1.0 (/ (fma (* -0.5 (PI)) t_0 (PI)) s) 1.0)))
                                      t_1))
                                    t_1))
                                  1.0)))))
                            \begin{array}{l}
                            
                            \\
                            \begin{array}{l}
                            t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
                            t_1 := \frac{1}{1 + e^{t\_0}}\\
                            \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \mathsf{fma}\left(-1, \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), t\_0, \mathsf{PI}\left(\right)\right)}{s}, 1\right)} - t\_1\right) + t\_1} - 1\right)
                            \end{array}
                            \end{array}
                            
                            Derivation
                            1. Initial program 99.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}, \frac{-1}{2}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                              14. lower-PI.f322.6

                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \color{blue}{\mathsf{PI}\left(\right)}\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                            5. Applied rewrites2.5%

                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{\left(1 - \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}, -0.5, \mathsf{PI}\left(\right)\right)}{s}\right)}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                            6. Step-by-step derivation
                              1. Applied rewrites2.5%

                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \left(1 - \frac{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \mathsf{PI}\left(\right)\right)}{s}\right)} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                              2. Step-by-step derivation
                                1. Applied rewrites50.9%

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

                                Alternative 9: 37.6% accurate, 1.3× speedup?

                                \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + 1} - t\_0\right) + t\_0} - 1\right) \end{array} \end{array} \]
                                (FPCore (u s)
                                 :precision binary32
                                 (let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))
                                   (* (- s) (log (- (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 1.0)) 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 + 1} - t\_0\right) + t\_0} - 1\right)
                                \end{array}
                                \end{array}
                                
                                Derivation
                                1. Initial program 99.1%

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

                                  \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                4. Step-by-step derivation
                                  1. Applied rewrites37.8%

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

                                  Alternative 10: 21.3% accurate, 3.1× speedup?

                                  \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\left(\mathsf{fma}\left(-4, \frac{\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, 2\right) - -2 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) - 1\right) \end{array} \]
                                  (FPCore (u s)
                                   :precision binary32
                                   (*
                                    (- s)
                                    (log
                                     (-
                                      (-
                                       (fma -4.0 (/ (fma (* 0.5 (PI)) u (* 0.25 (PI))) s) 2.0)
                                       (* -2.0 (/ (PI) s)))
                                      1.0))))
                                  \begin{array}{l}
                                  
                                  \\
                                  \left(-s\right) \cdot \log \left(\left(\mathsf{fma}\left(-4, \frac{\mathsf{fma}\left(0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)}{s}, 2\right) - -2 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) - 1\right)
                                  \end{array}
                                  
                                  Derivation
                                  1. Initial program 99.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                                      \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\left(\left(2 + -4 \cdot \frac{\frac{1}{4} \cdot \mathsf{PI}\left(\right) + u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right) - -2 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)} - 1\right) \]
                                  9. Applied rewrites21.9%

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

                                  Alternative 11: 6.2% accurate, 3.3× speedup?

                                  \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 3.0000000095132306 \cdot 10^{-30}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(-\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{s}, 0.5\right)} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{-s}, 0.5\right)} - 1\right)\\ \end{array} \end{array} \]
                                  (FPCore (u s)
                                   :precision binary32
                                   (if (<= s 3.0000000095132306e-30)
                                     (* (- s) (log (- (/ 1.0 (fma (- (PI)) (/ (fma -0.5 u 0.25) s) 0.5)) 1.0)))
                                     (* (- s) (log (- (/ 1.0 (fma (PI) (/ (fma -0.5 u 0.25) (- s)) 0.5)) 1.0)))))
                                  \begin{array}{l}
                                  
                                  \\
                                  \begin{array}{l}
                                  \mathbf{if}\;s \leq 3.0000000095132306 \cdot 10^{-30}:\\
                                  \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(-\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{s}, 0.5\right)} - 1\right)\\
                                  
                                  \mathbf{else}:\\
                                  \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{-s}, 0.5\right)} - 1\right)\\
                                  
                                  
                                  \end{array}
                                  \end{array}
                                  
                                  Derivation
                                  1. Split input into 2 regimes
                                  2. if s < 3e-30

                                    1. Initial program 99.3%

                                      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                    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 rewrites-0.0%

                                        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u, -0.5, 0.25\right)}{s}} - 1\right) \]
                                      2. Step-by-step derivation
                                        1. Applied rewrites15.2%

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

                                        if 3e-30 < s

                                        1. Initial program 99.1%

                                          \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                        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 rewrites-0.0%

                                            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u, -0.5, 0.25\right)}{s}} - 1\right) \]
                                          2. Step-by-step derivation
                                            1. Applied rewrites8.6%

                                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \color{blue}{-\frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}, 0.5\right)} - 1\right) \]
                                          3. Recombined 2 regimes into one program.
                                          4. Final simplification10.1%

                                            \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 3.0000000095132306 \cdot 10^{-30}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(-\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{s}, 0.5\right)} - 1\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{-s}, 0.5\right)} - 1\right)\\ \end{array} \]
                                          5. Add Preprocessing

                                          Alternative 12: 6.2% accurate, 3.5× speedup?

                                          \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{-s}, 0.5\right)} - 1\right) \end{array} \]
                                          (FPCore (u s)
                                           :precision binary32
                                           (* (- s) (log (- (/ 1.0 (fma (PI) (/ (fma -0.5 u 0.25) (- s)) 0.5)) 1.0))))
                                          \begin{array}{l}
                                          
                                          \\
                                          \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{-s}, 0.5\right)} - 1\right)
                                          \end{array}
                                          
                                          Derivation
                                          1. Initial program 99.1%

                                            \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                          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 rewrites-0.0%

                                              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{0.5 - \frac{\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(u, -0.5, 0.25\right)}{s}} - 1\right) \]
                                            2. Step-by-step derivation
                                              1. Applied rewrites10.1%

                                                \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\mathsf{fma}\left(\mathsf{PI}\left(\right), \color{blue}{-\frac{\mathsf{fma}\left(-0.5, u, 0.25\right)}{s}}, 0.5\right)} - 1\right) \]
                                              2. Final simplification10.1%

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

                                              Alternative 13: 11.5% accurate, 17.0× speedup?

                                              \[\begin{array}{l} \\ \left(\left(\left(\frac{0.25}{u} - 0.5\right) \cdot u\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \end{array} \]
                                              (FPCore (u s) :precision binary32 (* (* (* (- (/ 0.25 u) 0.5) u) (PI)) -4.0))
                                              \begin{array}{l}
                                              
                                              \\
                                              \left(\left(\left(\frac{0.25}{u} - 0.5\right) \cdot u\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4
                                              \end{array}
                                              
                                              Derivation
                                              1. Initial program 99.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                                                  \[\leadsto \left(\color{blue}{\mathsf{fma}\left(\frac{-1}{2}, u, \frac{1}{4}\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                                                18. lower-PI.f3211.9

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

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

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

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

                                                Alternative 14: 11.5% accurate, 26.8× speedup?

                                                \[\begin{array}{l} \\ \left(\left(-0.5 \cdot u + 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \end{array} \]
                                                (FPCore (u s) :precision binary32 (* (* (+ (* -0.5 u) 0.25) (PI)) -4.0))
                                                \begin{array}{l}
                                                
                                                \\
                                                \left(\left(-0.5 \cdot u + 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4
                                                \end{array}
                                                
                                                Derivation
                                                1. Initial program 99.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

                                                    \[\leadsto \left(\color{blue}{\mathsf{fma}\left(\frac{-1}{2}, u, \frac{1}{4}\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot -4 \]
                                                  18. lower-PI.f3211.9

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

                                                  \[\leadsto \color{blue}{\left(\mathsf{fma}\left(-0.5, u, 0.25\right) \cdot \mathsf{PI}\left(\right)\right) \cdot -4} \]
                                                8. Step-by-step derivation
                                                  1. Applied rewrites12.1%

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

                                                  Alternative 15: 11.3% 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 99.1%

                                                    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                                                  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.f3211.9

                                                      \[\leadsto -\color{blue}{\mathsf{PI}\left(\right)} \]
                                                  5. Applied rewrites11.9%

                                                    \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
                                                  6. Final simplification11.9%

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

                                                  Alternative 16: 10.3% accurate, 510.0× speedup?

                                                  \[\begin{array}{l} \\ 0 \end{array} \]
                                                  (FPCore (u s) :precision binary32 0.0)
                                                  float code(float u, float s) {
                                                  	return 0.0f;
                                                  }
                                                  
                                                  real(4) function code(u, s)
                                                      real(4), intent (in) :: u
                                                      real(4), intent (in) :: s
                                                      code = 0.0e0
                                                  end function
                                                  
                                                  function code(u, s)
                                                  	return Float32(0.0)
                                                  end
                                                  
                                                  function tmp = code(u, s)
                                                  	tmp = single(0.0);
                                                  end
                                                  
                                                  \begin{array}{l}
                                                  
                                                  \\
                                                  0
                                                  \end{array}
                                                  
                                                  Derivation
                                                  1. Initial program 99.1%

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

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

                                                    \[\leadsto \color{blue}{\left(-s\right) \cdot \log \left(\mathsf{expm1}\left(-\log \left(0.5 - \frac{\mathsf{fma}\left(-0.5, u, 0.25\right) \cdot \mathsf{PI}\left(\right)}{s}\right)\right)\right)} \]
                                                  8. Taylor expanded in s around inf

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

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

                                                      \[\leadsto \mathsf{neg}\left(\color{blue}{\log \left(e^{\mathsf{neg}\left(\log \frac{1}{2}\right)} - 1\right) \cdot s}\right) \]
                                                    3. distribute-lft-neg-inN/A

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

                                                      \[\leadsto \left(\mathsf{neg}\left(\log \left(\color{blue}{\frac{1}{e^{\log \frac{1}{2}}}} - 1\right)\right)\right) \cdot s \]
                                                    5. rem-exp-logN/A

                                                      \[\leadsto \left(\mathsf{neg}\left(\log \left(\frac{1}{\color{blue}{\frac{1}{2}}} - 1\right)\right)\right) \cdot s \]
                                                    6. metadata-evalN/A

                                                      \[\leadsto \left(\mathsf{neg}\left(\log \left(\color{blue}{2} - 1\right)\right)\right) \cdot s \]
                                                    7. metadata-evalN/A

                                                      \[\leadsto \left(\mathsf{neg}\left(\log \color{blue}{1}\right)\right) \cdot s \]
                                                    8. metadata-evalN/A

                                                      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{0}\right)\right) \cdot s \]
                                                    9. metadata-evalN/A

                                                      \[\leadsto \color{blue}{0} \cdot s \]
                                                    10. lower-*.f3210.1

                                                      \[\leadsto \color{blue}{0 \cdot s} \]
                                                  10. Applied rewrites10.1%

                                                    \[\leadsto \color{blue}{0 \cdot s} \]
                                                  11. Taylor expanded in s around 0

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

                                                      \[\leadsto 0 \]
                                                    2. Final simplification10.1%

                                                      \[\leadsto 0 \]
                                                    3. Add Preprocessing

                                                    Reproduce

                                                    ?
                                                    herbie shell --seed 2024309 
                                                    (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))))