\frac{2}{1 + e^{-2 \cdot x}} - 1\begin{array}{l}
\mathbf{if}\;-2 \cdot x \le -12.7972291612644522 \lor \neg \left(-2 \cdot x \le 1.50750368274967835 \cdot 10^{-5}\right):\\
\;\;\;\;\frac{2}{1 + e^{-2 \cdot x}} - 1\\
\mathbf{else}:\\
\;\;\;\;1 \cdot x - \left(5.55112 \cdot 10^{-17} \cdot {x}^{4} + 0.33333333333333337 \cdot {x}^{3}\right)\\
\end{array}double code(double x, double y) {
return ((2.0 / (1.0 + exp((-2.0 * x)))) - 1.0);
}
double code(double x, double y) {
double VAR;
if ((((-2.0 * x) <= -12.797229161264452) || !((-2.0 * x) <= 1.5075036827496784e-05))) {
VAR = ((2.0 / (1.0 + exp((-2.0 * x)))) - 1.0);
} else {
VAR = ((1.0 * x) - ((5.551115123125783e-17 * pow(x, 4.0)) + (0.33333333333333337 * pow(x, 3.0))));
}
return VAR;
}



Bits error versus x



Bits error versus y
Results
if (* -2.0 x) < -12.797229161264452 or 1.5075036827496784e-05 < (* -2.0 x) Initial program 0.1
if -12.797229161264452 < (* -2.0 x) < 1.5075036827496784e-05Initial program 59.1
Taylor expanded around 0 0.1
Final simplification0.1
herbie shell --seed 2020102
(FPCore (x y)
:name "Logistic function from Lakshay Garg"
:precision binary64
(- (/ 2 (+ 1 (exp (* -2 x)))) 1))