Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 98.9% → 98.9%
Time: 19.5s
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?

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

\\
\begin{array}{l}
t_0 := \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
\log \left(-1 - \frac{-1}{\left(t\_0 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - t\_0}\right) \cdot \left(-s\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

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

Alternative 2: 11.3% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\\ t_1 := {t\_0}^{2}\\ t_2 := \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\ \mathbf{if}\;\log \left(-1 - \frac{-1}{\left(t\_2 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - t\_2}\right) \cdot \left(-s\right) \leq -1.0000000036274937 \cdot 10^{-15}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(16, t\_1, t\_1 \cdot -16\right)}{s}, -0.5, t\_0 \cdot 4\right)\\ \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (fma (* (PI) u) 0.5 (* -0.25 (PI))))
        (t_1 (pow t_0 2.0))
        (t_2 (/ -1.0 (+ (exp (/ (PI) s)) 1.0))))
   (if (<=
        (*
         (log
          (-
           -1.0
           (/
            -1.0
            (- (* (- t_2 (/ -1.0 (+ (exp (/ (- (PI)) s)) 1.0))) u) t_2))))
         (- s))
        -1.0000000036274937e-15)
     (* (* u u) (- (/ 0.0 s) (/ (+ (/ (PI) u) (* -2.0 (PI))) u)))
     (fma (/ (fma 16.0 t_1 (* t_1 -16.0)) s) -0.5 (* t_0 4.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\\
t_1 := {t\_0}^{2}\\
t_2 := \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\\
\mathbf{if}\;\log \left(-1 - \frac{-1}{\left(t\_2 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - t\_2}\right) \cdot \left(-s\right) \leq -1.0000000036274937 \cdot 10^{-15}:\\
\;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(16, t\_1, t\_1 \cdot -16\right)}{s}, -0.5, t\_0 \cdot 4\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)))) < -1e-15

    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

      \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
    4. Applied rewrites5.9%

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

      \[\leadsto {u}^{2} \cdot \color{blue}{\left(-1 \cdot \frac{-2 \cdot \mathsf{PI}\left(\right) + \left(-1 \cdot \frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \left(-1 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)}{u} + \frac{-1}{2} \cdot \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + 4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)\right)}{u} + \frac{-1}{2} \cdot \frac{-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right)} \]
    6. Applied rewrites17.6%

      \[\leadsto \left(\frac{0}{s} - \frac{-2 \cdot \mathsf{PI}\left(\right) - \frac{-\mathsf{PI}\left(\right)}{u}}{u}\right) \cdot \color{blue}{\left(u \cdot u\right)} \]

    if -1e-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 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

      \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
    4. Applied rewrites4.9%

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

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

          \[\leadsto \mathsf{fma}\left(\frac{\mathsf{fma}\left(16, {\left(\mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \left(0 + \mathsf{PI}\left(\right)\right)\right)\right)}^{2}, {\left(\mathsf{fma}\left(u \cdot \left(-\left(-\mathsf{PI}\left(\right)\right)\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} \cdot -16\right)}{s}, -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
      3. Recombined 2 regimes into one program.
      4. Final simplification12.9%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\log \left(-1 - \frac{-1}{\left(\frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}}\right) \cdot \left(-s\right) \leq -1.0000000036274937 \cdot 10^{-15}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(16, {\left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}, {\left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} \cdot -16\right)}{s}, -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \end{array} \]
      5. Add Preprocessing

      Alternative 3: 11.1% accurate, 0.8× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{u}\\ t_1 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_2 := \left(t\_0 + \mathsf{PI}\left(\right)\right) \cdot t\_1\\ t_3 := \frac{-1}{e^{t\_1} + 1}\\ \mathbf{if}\;\log \left(-1 - \frac{-1}{\left(t\_3 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - t\_3}\right) \cdot \left(-s\right) \leq -1.99999996490334 \cdot 10^{-13}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{t\_0 + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\left(t\_2 \cdot 4\right) \cdot \left(u \cdot u\right) + \left(-4 \cdot t\_2\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \end{array} \end{array} \]
      (FPCore (u s)
       :precision binary32
       (let* ((t_0 (/ (PI) u))
              (t_1 (/ (PI) s))
              (t_2 (* (+ t_0 (PI)) t_1))
              (t_3 (/ -1.0 (+ (exp t_1) 1.0))))
         (if (<=
              (*
               (log
                (-
                 -1.0
                 (/
                  -1.0
                  (- (* (- t_3 (/ -1.0 (+ (exp (/ (- (PI)) s)) 1.0))) u) t_3))))
               (- s))
              -1.99999996490334e-13)
           (* (* u u) (- (/ 0.0 s) (/ (+ t_0 (* -2.0 (PI))) u)))
           (fma
            (+ (* (* t_2 4.0) (* u u)) (* (* -4.0 t_2) (* u u)))
            -0.5
            (* (fma (* (PI) u) 0.5 (* -0.25 (PI))) 4.0)))))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := \frac{\mathsf{PI}\left(\right)}{u}\\
      t_1 := \frac{\mathsf{PI}\left(\right)}{s}\\
      t_2 := \left(t\_0 + \mathsf{PI}\left(\right)\right) \cdot t\_1\\
      t_3 := \frac{-1}{e^{t\_1} + 1}\\
      \mathbf{if}\;\log \left(-1 - \frac{-1}{\left(t\_3 - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - t\_3}\right) \cdot \left(-s\right) \leq -1.99999996490334 \cdot 10^{-13}:\\
      \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{t\_0 + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\mathsf{fma}\left(\left(t\_2 \cdot 4\right) \cdot \left(u \cdot u\right) + \left(-4 \cdot t\_2\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\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)))) < -1.99999996e-13

        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

          \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
        4. Applied rewrites6.0%

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

          \[\leadsto {u}^{2} \cdot \color{blue}{\left(-1 \cdot \frac{-2 \cdot \mathsf{PI}\left(\right) + \left(-1 \cdot \frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \left(-1 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)}{u} + \frac{-1}{2} \cdot \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + 4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)\right)}{u} + \frac{-1}{2} \cdot \frac{-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right)} \]
        6. Applied rewrites18.6%

          \[\leadsto \left(\frac{0}{s} - \frac{-2 \cdot \mathsf{PI}\left(\right) - \frac{-\mathsf{PI}\left(\right)}{u}}{u}\right) \cdot \color{blue}{\left(u \cdot u\right)} \]

        if -1.99999996e-13 < (*.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 98.9%

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

          \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
        4. Applied rewrites5.1%

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

          \[\leadsto \mathsf{fma}\left({u}^{2} \cdot \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s \cdot u} + \left(4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + 4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s \cdot u}\right)\right)\right), \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
        6. Step-by-step derivation
          1. Applied rewrites8.2%

            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(-4, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s} + \frac{\mathsf{PI}\left(\right)}{u} \cdot \frac{\mathsf{PI}\left(\right)}{s}, 4 \cdot \mathsf{fma}\left(\frac{\mathsf{PI}\left(\right)}{u}, \frac{\mathsf{PI}\left(\right)}{s}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s}\right)\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
          2. Step-by-step derivation
            1. Applied rewrites8.1%

              \[\leadsto \mathsf{fma}\left(\left(u \cdot u\right) \cdot \left(\left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right)\right) \cdot -4\right) + \left(u \cdot u\right) \cdot \left(\left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right)\right) \cdot 4\right), -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
          3. Recombined 2 regimes into one program.
          4. Final simplification12.7%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\log \left(-1 - \frac{-1}{\left(\frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u - \frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}}\right) \cdot \left(-s\right) \leq -1.99999996490334 \cdot 10^{-13}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\left(\left(\left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot 4\right) \cdot \left(u \cdot u\right) + \left(-4 \cdot \left(\left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \end{array} \]
          5. Add Preprocessing

          Alternative 4: 97.6% accurate, 1.3× speedup?

          \[\begin{array}{l} \\ \log \left(\frac{1}{\left(\frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \cdot \left(-s\right) \end{array} \]
          (FPCore (u s)
           :precision binary32
           (*
            (log
             (-
              (/
               1.0
               (*
                (-
                 (/ -1.0 (+ (exp (/ (PI) s)) 1.0))
                 (/ -1.0 (+ (exp (/ (- (PI)) s)) 1.0)))
                u))
              1.0))
            (- s)))
          \begin{array}{l}
          
          \\
          \log \left(\frac{1}{\left(\frac{-1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1} - \frac{-1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u} - 1\right) \cdot \left(-s\right)
          \end{array}
          
          Derivation
          1. Initial program 99.0%

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

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

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

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) \cdot u}} - 1\right) \]
          5. Applied rewrites96.8%

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\left(\frac{1}{e^{\frac{-\mathsf{PI}\left(\right)}{s}} + 1} - \frac{1}{e^{\frac{\mathsf{PI}\left(\right)}{s}} + 1}\right) \cdot u}} - 1\right) \]
          6. Final simplification96.8%

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

          Alternative 5: 23.0% accurate, 1.6× speedup?

          \[\begin{array}{l} \\ \log \left(\mathsf{expm1}\left(-\log 0.5\right)\right) \cdot \left(-s\right) \end{array} \]
          (FPCore (u s) :precision binary32 (* (log (expm1 (- (log 0.5)))) (- s)))
          float code(float u, float s) {
          	return logf(expm1f(-logf(0.5f))) * -s;
          }
          
          function code(u, s)
          	return Float32(log(expm1(Float32(-log(Float32(0.5))))) * Float32(-s))
          end
          
          \begin{array}{l}
          
          \\
          \log \left(\mathsf{expm1}\left(-\log 0.5\right)\right) \cdot \left(-s\right)
          \end{array}
          
          Derivation
          1. Initial program 99.0%

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

            \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2}}} - 1\right) \]
          4. Step-by-step derivation
            1. Applied rewrites10.1%

              \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5}} - 1\right) \]
            2. Step-by-step derivation
              1. lift--.f32N/A

                \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{1}{\frac{1}{2}} - 1\right)} \]
            3. Applied rewrites23.5%

              \[\leadsto \color{blue}{\left(-s\right) \cdot \log \left(\mathsf{expm1}\left(-\log 0.5\right)\right)} \]
            4. Final simplification23.5%

              \[\leadsto \log \left(\mathsf{expm1}\left(-\log 0.5\right)\right) \cdot \left(-s\right) \]
            5. Add Preprocessing

            Alternative 6: 10.7% accurate, 4.4× speedup?

            \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ t_1 := \frac{\mathsf{PI}\left(\right)}{u}\\ t_2 := t\_1 + \mathsf{PI}\left(\right)\\ \mathbf{if}\;s \leq 9.9999998245167 \cdot 10^{-14}:\\ \;\;\;\;\mathsf{fma}\left(\left(\left(-4 \cdot t\_0\right) \cdot t\_2 + \left(t\_2 \cdot t\_0\right) \cdot 4\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{t\_1 + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \end{array} \end{array} \]
            (FPCore (u s)
             :precision binary32
             (let* ((t_0 (/ (PI) s)) (t_1 (/ (PI) u)) (t_2 (+ t_1 (PI))))
               (if (<= s 9.9999998245167e-14)
                 (fma
                  (* (+ (* (* -4.0 t_0) t_2) (* (* t_2 t_0) 4.0)) (* u u))
                  -0.5
                  (* (fma (* (PI) u) 0.5 (* -0.25 (PI))) 4.0))
                 (* (* u u) (- (/ 0.0 s) (/ (+ t_1 (* -2.0 (PI))) u))))))
            \begin{array}{l}
            
            \\
            \begin{array}{l}
            t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
            t_1 := \frac{\mathsf{PI}\left(\right)}{u}\\
            t_2 := t\_1 + \mathsf{PI}\left(\right)\\
            \mathbf{if}\;s \leq 9.9999998245167 \cdot 10^{-14}:\\
            \;\;\;\;\mathsf{fma}\left(\left(\left(-4 \cdot t\_0\right) \cdot t\_2 + \left(t\_2 \cdot t\_0\right) \cdot 4\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\
            
            \mathbf{else}:\\
            \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{t\_1 + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\
            
            
            \end{array}
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if s < 9.99999982e-14

              1. Initial program 98.9%

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

                \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
              4. Applied rewrites5.2%

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

                \[\leadsto \mathsf{fma}\left({u}^{2} \cdot \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s \cdot u} + \left(4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + 4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s \cdot u}\right)\right)\right), \frac{-1}{2}, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), \frac{1}{2}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
              6. Step-by-step derivation
                1. Applied rewrites8.3%

                  \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(-4, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s} + \frac{\mathsf{PI}\left(\right)}{u} \cdot \frac{\mathsf{PI}\left(\right)}{s}, 4 \cdot \mathsf{fma}\left(\frac{\mathsf{PI}\left(\right)}{u}, \frac{\mathsf{PI}\left(\right)}{s}, \frac{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}{s}\right)\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                2. Step-by-step derivation
                  1. Applied rewrites8.3%

                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(4 \cdot \frac{\mathsf{PI}\left(\right)}{s}, \frac{\mathsf{PI}\left(\right)}{u}, \mathsf{fma}\left(4 \cdot \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{s}, \left(\frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right)\right) \cdot -4\right)\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(u \cdot \mathsf{PI}\left(\right), 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right) \]
                  2. Applied rewrites8.2%

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

                  if 9.99999982e-14 < 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

                    \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                  4. Applied rewrites6.0%

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

                    \[\leadsto {u}^{2} \cdot \color{blue}{\left(-1 \cdot \frac{-2 \cdot \mathsf{PI}\left(\right) + \left(-1 \cdot \frac{-1 \cdot \mathsf{PI}\left(\right) + \frac{-1}{2} \cdot \left(-1 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)}{u} + \frac{-1}{2} \cdot \left(-4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s} + 4 \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{s}\right)\right)}{u} + \frac{-1}{2} \cdot \frac{-4 \cdot {\mathsf{PI}\left(\right)}^{2} + 4 \cdot {\mathsf{PI}\left(\right)}^{2}}{s}\right)} \]
                  6. Applied rewrites19.1%

                    \[\leadsto \left(\frac{0}{s} - \frac{-2 \cdot \mathsf{PI}\left(\right) - \frac{-\mathsf{PI}\left(\right)}{u}}{u}\right) \cdot \color{blue}{\left(u \cdot u\right)} \]
                3. Recombined 2 regimes into one program.
                4. Final simplification12.7%

                  \[\leadsto \begin{array}{l} \mathbf{if}\;s \leq 9.9999998245167 \cdot 10^{-14}:\\ \;\;\;\;\mathsf{fma}\left(\left(\left(-4 \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot \left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right) + \left(\left(\frac{\mathsf{PI}\left(\right)}{u} + \mathsf{PI}\left(\right)\right) \cdot \frac{\mathsf{PI}\left(\right)}{s}\right) \cdot 4\right) \cdot \left(u \cdot u\right), -0.5, \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot u, 0.5, -0.25 \cdot \mathsf{PI}\left(\right)\right) \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;\left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)\\ \end{array} \]
                5. Add Preprocessing

                Alternative 7: 11.6% accurate, 9.3× speedup?

                \[\begin{array}{l} \\ \left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right) \end{array} \]
                (FPCore (u s)
                 :precision binary32
                 (* (* u u) (- (/ 0.0 s) (/ (+ (/ (PI) u) (* -2.0 (PI))) u))))
                \begin{array}{l}
                
                \\
                \left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right)
                \end{array}
                
                Derivation
                1. Initial program 99.0%

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

                  \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                4. Applied rewrites5.2%

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

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

                  \[\leadsto \left(\frac{0}{s} - \frac{-2 \cdot \mathsf{PI}\left(\right) - \frac{-\mathsf{PI}\left(\right)}{u}}{u}\right) \cdot \color{blue}{\left(u \cdot u\right)} \]
                7. Final simplification12.8%

                  \[\leadsto \left(u \cdot u\right) \cdot \left(\frac{0}{s} - \frac{\frac{\mathsf{PI}\left(\right)}{u} + -2 \cdot \mathsf{PI}\left(\right)}{u}\right) \]
                8. Add Preprocessing

                Alternative 8: 11.4% accurate, 170.0× speedup?

                \[\begin{array}{l} \\ -\mathsf{PI}\left(\right) \end{array} \]
                (FPCore (u s) :precision binary32 (- (PI)))
                \begin{array}{l}
                
                \\
                -\mathsf{PI}\left(\right)
                \end{array}
                
                Derivation
                1. Initial program 99.0%

                  \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
                2. Add Preprocessing
                3. Taylor expanded in u around 0

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

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

                    \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
                  3. lower-PI.f3212.7

                    \[\leadsto -\color{blue}{\mathsf{PI}\left(\right)} \]
                5. Applied rewrites12.7%

                  \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
                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 99.0%

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

                  \[\leadsto \color{blue}{\frac{-1}{2} \cdot \frac{-16 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -2 \cdot \left(-8 \cdot {\left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)}^{2} + -4 \cdot \left(\frac{-1}{8} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{8} \cdot {\mathsf{PI}\left(\right)}^{2}\right)\right)}{s} + 4 \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
                4. Applied rewrites5.2%

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

                  \[\leadsto \frac{-1}{2} \cdot \color{blue}{\frac{-16 \cdot {\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2} + 16 \cdot {\left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}^{2}}{s}} \]
                6. Step-by-step derivation
                  1. Applied rewrites10.1%

                    \[\leadsto \frac{0}{\color{blue}{s}} \]
                  2. Taylor expanded in s around 0

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

                      \[\leadsto 0 \]
                    2. Add Preprocessing

                    Reproduce

                    ?
                    herbie shell --seed 2024248 
                    (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))))