Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 98.9%
Time: 14.4s
Alternatives: 9
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 9 alternatives:

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

Initial Program: 98.9% accurate, 1.0× speedup?

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

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

Alternative 1: 98.9% accurate, 1.0× speedup?

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

\\
\begin{array}{l}
t_0 := \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
\log \left(\frac{1}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - t\_0\right) \cdot u + t\_0} - 1\right) \cdot \left(-s\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.1%

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

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

Alternative 2: 97.5% accurate, 1.3× speedup?

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right)} \]
  5. Applied rewrites98.3%

    \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{\frac{1}{u}}{\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}} - 1\right)} \]
  6. Final simplification98.3%

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

Alternative 3: 8.3% accurate, 1.8× speedup?

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

\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right)\\
\log \left(1 - \frac{\mathsf{fma}\left(\frac{{t\_0}^{2}}{s}, -8, \frac{0}{s}\right) - 4 \cdot t\_0}{s}\right) \cdot \left(-s\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.1%

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\mathsf{neg}\left(\frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)\right)} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. distribute-neg-frac2N/A

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{u \cdot \mathsf{PI}\left(\right)}}{s} \cdot \frac{1}{2} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    13. lower-PI.f323.3

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{u \cdot \color{blue}{\mathsf{PI}\left(\right)}}{s} \cdot 0.5 + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites3.3%

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(1 + \color{blue}{\left(\mathsf{neg}\left(\frac{\left(-8 \cdot \frac{{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2}}{s} + -4 \cdot \frac{\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right) - 4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)\right)}\right) \]
    2. unsub-negN/A

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

      \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 - \frac{\left(-8 \cdot \frac{{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2}}{s} + -4 \cdot \frac{\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right) - 4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)} \]
  8. Applied rewrites12.4%

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

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

Alternative 4: 24.9% accurate, 3.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := 0.5 \cdot \mathsf{PI}\left(\right)\\ \log \left(\left(0.5 \cdot \frac{\mathsf{PI}\left(\right)}{s} + \left(\frac{t\_0 \cdot -0.5 - t\_0 \cdot u}{s} + 0.5\right)\right) \cdot 4 - 1\right) \cdot \left(-s\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (* 0.5 (PI))))
   (*
    (log
     (-
      (* (+ (* 0.5 (/ (PI) s)) (+ (/ (- (* t_0 -0.5) (* t_0 u)) s) 0.5)) 4.0)
      1.0))
    (- s))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := 0.5 \cdot \mathsf{PI}\left(\right)\\
\log \left(\left(0.5 \cdot \frac{\mathsf{PI}\left(\right)}{s} + \left(\frac{t\_0 \cdot -0.5 - t\_0 \cdot u}{s} + 0.5\right)\right) \cdot 4 - 1\right) \cdot \left(-s\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. Applied rewrites97.3%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1\right)}^{-2} - {\left(\left(e^{-\mathsf{log1p}\left(e^{\frac{-\mathsf{PI}\left(\right)}{s}}\right)} - e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}\right) \cdot u\right)}^{2}}{e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)} - \left(e^{-\mathsf{log1p}\left(e^{\frac{-\mathsf{PI}\left(\right)}{s}}\right)} - e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}\right) \cdot u}}} - 1\right) \]
  4. Taylor expanded in s around inf

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

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{4 \cdot \left(\left(e^{\mathsf{neg}\left(\log 2\right)} + \frac{\frac{-1}{2} \cdot \left(\mathsf{PI}\left(\right) \cdot e^{\mathsf{neg}\left(\log 2\right)}\right) - u \cdot \left(\frac{1}{2} \cdot \left(\mathsf{PI}\left(\right) \cdot e^{\mathsf{neg}\left(\log 2\right)}\right) - \frac{-1}{2} \cdot \left(\mathsf{PI}\left(\right) \cdot e^{\mathsf{neg}\left(\log 2\right)}\right)\right)}{s}\right) + \frac{\mathsf{PI}\left(\right) \cdot e^{\mathsf{neg}\left(\log 2\right)}}{s}\right)} - 1\right) \]
  6. Applied rewrites25.1%

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

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

Alternative 5: 25.0% accurate, 3.8× speedup?

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

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

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

      \[\leadsto \left(-s\right) \cdot \log \left(1 + \color{blue}{\left(\mathsf{neg}\left(\frac{\left(-8 \cdot \frac{{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2}}{s} + -4 \cdot \frac{\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right) - 4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)\right)}\right) \]
    2. unsub-negN/A

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

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

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

    \[\leadsto \left(-s\right) \cdot \log \left(1 - \frac{-1 \cdot \mathsf{PI}\left(\right) + \left(\frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + u \cdot \left(2 \cdot \mathsf{PI}\left(\right) + 2 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)\right)}{s}\right) \]
  7. Step-by-step derivation
    1. Applied rewrites17.1%

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(1 - \frac{\left(\mathsf{PI}\left(\right) \cdot u\right) \cdot 2 - \mathsf{PI}\left(\right)}{s}\right) \]
      2. Final simplification25.1%

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

      Alternative 6: 14.0% accurate, 14.6× speedup?

      \[\begin{array}{l} \\ \frac{\mathsf{PI}\left(\right)}{s} \cdot \frac{\left(-s\right) \cdot s}{s} \end{array} \]
      (FPCore (u s) :precision binary32 (* (/ (PI) s) (/ (* (- s) s) s)))
      \begin{array}{l}
      
      \\
      \frac{\mathsf{PI}\left(\right)}{s} \cdot \frac{\left(-s\right) \cdot s}{s}
      \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 inf

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

          \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right)} \]
      5. Applied rewrites98.3%

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

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

          \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
        2. lower-PI.f3211.2

          \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
      8. Applied rewrites11.2%

        \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      9. Step-by-step derivation
        1. lift-neg.f32N/A

          \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        2. neg-sub0N/A

          \[\leadsto \color{blue}{\left(0 - s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        3. flip--N/A

          \[\leadsto \color{blue}{\frac{0 \cdot 0 - s \cdot s}{0 + s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        4. lower-/.f32N/A

          \[\leadsto \color{blue}{\frac{0 \cdot 0 - s \cdot s}{0 + s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        5. metadata-evalN/A

          \[\leadsto \frac{\color{blue}{0} - s \cdot s}{0 + s} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        6. lower--.f32N/A

          \[\leadsto \frac{\color{blue}{0 - s \cdot s}}{0 + s} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        7. lower-*.f32N/A

          \[\leadsto \frac{0 - \color{blue}{s \cdot s}}{0 + s} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
        8. lower-+.f3213.7

          \[\leadsto \frac{0 - s \cdot s}{\color{blue}{0 + s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      10. Applied rewrites13.7%

        \[\leadsto \color{blue}{\frac{0 - s \cdot s}{0 + s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      11. Final simplification13.7%

        \[\leadsto \frac{\mathsf{PI}\left(\right)}{s} \cdot \frac{\left(-s\right) \cdot s}{s} \]
      12. Add Preprocessing

      Alternative 7: 7.4% accurate, 23.2× speedup?

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

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

          \[\leadsto \left(-s\right) \cdot \log \left(1 + \color{blue}{\left(\mathsf{neg}\left(\frac{\left(-8 \cdot \frac{{\left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2}}{s} + -4 \cdot \frac{\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right) - 4 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}\right)\right)}\right) \]
        2. unsub-negN/A

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

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

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

        \[\leadsto \left(-s\right) \cdot \log \left(1 - \frac{-1 \cdot \mathsf{PI}\left(\right) + \left(\frac{-1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + u \cdot \left(2 \cdot \mathsf{PI}\left(\right) + 2 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)\right)}{s}\right) \]
      7. Step-by-step derivation
        1. Applied rewrites16.6%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

            \[\leadsto \mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot -4 \]
        4. Applied rewrites11.2%

          \[\leadsto \color{blue}{\mathsf{fma}\left(-0.5 \cdot \mathsf{PI}\left(\right), u, 0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot -4} \]
        5. Final simplification11.2%

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

        Alternative 8: 11.5% accurate, 170.0× speedup?

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

          \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
        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.f3211.2

            \[\leadsto -\color{blue}{\mathsf{PI}\left(\right)} \]
        5. Applied rewrites11.2%

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

        Alternative 9: 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. Applied rewrites97.3%

          \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{{\left(e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1\right)}^{-2} - {\left(\left(e^{-\mathsf{log1p}\left(e^{\frac{-\mathsf{PI}\left(\right)}{s}}\right)} - e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}\right) \cdot u\right)}^{2}}{e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)} - \left(e^{-\mathsf{log1p}\left(e^{\frac{-\mathsf{PI}\left(\right)}{s}}\right)} - e^{-\mathsf{log1p}\left(e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}\right) \cdot u}}} - 1\right) \]
        4. Taylor expanded in s around inf

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

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

            \[\leadsto \mathsf{neg}\left(\color{blue}{\log \left(4 \cdot e^{\mathsf{neg}\left(\log 2\right)} - 1\right) \cdot s}\right) \]
          3. distribute-lft-neg-inN/A

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

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

            \[\leadsto \left(\mathsf{neg}\left(\log \left(4 \cdot \frac{1}{\color{blue}{2}} - 1\right)\right)\right) \cdot s \]
          6. metadata-evalN/A

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

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

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

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

            \[\leadsto \color{blue}{0} \cdot s \]
          11. lower-*.f3210.2

            \[\leadsto \color{blue}{0 \cdot s} \]
        6. Applied rewrites10.2%

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

          \[\leadsto 0 \]
        8. Step-by-step derivation
          1. Applied rewrites10.2%

            \[\leadsto 0 \]
          2. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2024285 
          (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))))