Average Error: 29.0 → 0.2
Time: 1.9s
Precision: binary64
\[\frac{2}{1 + e^{-2 \cdot x}} - 1 \]
\[\begin{array}{l} \mathbf{if}\;-2 \cdot x \leq -2549.842835266359 \lor \neg \left(-2 \cdot x \leq 1.0636739907298338 \cdot 10^{-5}\right):\\ \;\;\;\;\frac{2}{1 + e^{-2 \cdot x}} - 1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left({x}^{3}, -0.3333333333333333, x\right)\\ \end{array} \]
\frac{2}{1 + e^{-2 \cdot x}} - 1
\begin{array}{l}
\mathbf{if}\;-2 \cdot x \leq -2549.842835266359 \lor \neg \left(-2 \cdot x \leq 1.0636739907298338 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2}{1 + e^{-2 \cdot x}} - 1\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left({x}^{3}, -0.3333333333333333, x\right)\\


\end{array}
(FPCore (x y) :precision binary64 (- (/ 2.0 (+ 1.0 (exp (* -2.0 x)))) 1.0))
(FPCore (x y)
 :precision binary64
 (if (or (<= (* -2.0 x) -2549.842835266359)
         (not (<= (* -2.0 x) 1.0636739907298338e-5)))
   (- (/ 2.0 (+ 1.0 (exp (* -2.0 x)))) 1.0)
   (fma (pow x 3.0) -0.3333333333333333 x)))
double code(double x, double y) {
	return (2.0 / (1.0 + exp(-2.0 * x))) - 1.0;
}
double code(double x, double y) {
	double tmp;
	if (((-2.0 * x) <= -2549.842835266359) || !((-2.0 * x) <= 1.0636739907298338e-5)) {
		tmp = (2.0 / (1.0 + exp(-2.0 * x))) - 1.0;
	} else {
		tmp = fma(pow(x, 3.0), -0.3333333333333333, x);
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Derivation

  1. Split input into 2 regimes
  2. if (*.f64 -2 x) < -2549.84283526635909 or 1.0636739907298338e-5 < (*.f64 -2 x)

    1. Initial program 0.0

      \[\frac{2}{1 + e^{-2 \cdot x}} - 1 \]

    if -2549.84283526635909 < (*.f64 -2 x) < 1.0636739907298338e-5

    1. Initial program 58.6

      \[\frac{2}{1 + e^{-2 \cdot x}} - 1 \]
    2. Taylor expanded in x around 0 0.4

      \[\leadsto \color{blue}{x - 0.3333333333333333 \cdot {x}^{3}} \]
    3. Simplified0.4

      \[\leadsto \color{blue}{\mathsf{fma}\left({x}^{3}, -0.3333333333333333, x\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.2

    \[\leadsto \begin{array}{l} \mathbf{if}\;-2 \cdot x \leq -2549.842835266359 \lor \neg \left(-2 \cdot x \leq 1.0636739907298338 \cdot 10^{-5}\right):\\ \;\;\;\;\frac{2}{1 + e^{-2 \cdot x}} - 1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left({x}^{3}, -0.3333333333333333, x\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2021313 
(FPCore (x y)
  :name "Logistic function from Lakshay Garg"
  :precision binary64
  (- (/ 2.0 (+ 1.0 (exp (* -2.0 x)))) 1.0))