\frac{e^{x}}{e^{x} - 1}\begin{array}{l}
\mathbf{if}\;x \le -0.00154165786243278392:\\
\;\;\;\;\frac{\frac{e^{x}}{\sqrt[3]{\frac{\mathsf{fma}\left(-1, 1, e^{x + x}\right)}{e^{x} + 1}} \cdot \sqrt[3]{\frac{\mathsf{fma}\left(-1, 1, e^{x + x}\right)}{e^{x} + 1}}}}{\sqrt[3]{\frac{\sqrt[3]{\mathsf{fma}\left(-1, 1, e^{x + x}\right)} \cdot \sqrt[3]{\mathsf{fma}\left(-1, 1, e^{x + x}\right)}}{\sqrt[3]{e^{x} + 1} \cdot \sqrt[3]{e^{x} + 1}}} \cdot \sqrt[3]{\frac{\sqrt[3]{\mathsf{fma}\left(-1, 1, e^{x + x}\right)}}{\sqrt[3]{e^{x} + 1}}}}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{1}{12}, x, \frac{1}{x}\right) + \frac{1}{2}\\
\end{array}double code(double x) {
return (exp(x) / (exp(x) - 1.0));
}
double code(double x) {
double VAR;
if ((x <= -0.001541657862432784)) {
VAR = ((exp(x) / (cbrt((fma(-1.0, 1.0, exp((x + x))) / (exp(x) + 1.0))) * cbrt((fma(-1.0, 1.0, exp((x + x))) / (exp(x) + 1.0))))) / (cbrt(((cbrt(fma(-1.0, 1.0, exp((x + x)))) * cbrt(fma(-1.0, 1.0, exp((x + x))))) / (cbrt((exp(x) + 1.0)) * cbrt((exp(x) + 1.0))))) * cbrt((cbrt(fma(-1.0, 1.0, exp((x + x)))) / cbrt((exp(x) + 1.0))))));
} else {
VAR = (fma(0.08333333333333333, x, (1.0 / x)) + 0.5);
}
return VAR;
}




Bits error versus x
Results
| Original | 41.7 |
|---|---|
| Target | 41.2 |
| Herbie | 0.6 |
if x < -0.001541657862432784Initial program 0.0
rmApplied flip--0.0
Simplified0.0
rmApplied add-cube-cbrt0.0
Applied associate-/r*0.0
rmApplied add-cube-cbrt0.0
Applied add-cube-cbrt0.0
Applied times-frac0.0
Applied cbrt-prod0.0
if -0.001541657862432784 < x Initial program 62.0
Taylor expanded around 0 0.9
Simplified0.9
Final simplification0.6
herbie shell --seed 2020091 +o rules:numerics
(FPCore (x)
:name "expq2 (section 3.11)"
:precision binary64
:herbie-target
(/ 1 (- 1 (exp (- x))))
(/ (exp x) (- (exp x) 1)))