\frac{e^{x} - 1}{x}\begin{array}{l}
\mathbf{if}\;x \le -1.4843984217390087 \cdot 10^{-4}:\\
\;\;\;\;\left(\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}}\right) \cdot \frac{\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}}}}{x}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{1}{6}, {x}^{2}, \mathsf{fma}\left(\frac{1}{2}, x, 1\right)\right)\\
\end{array}double code(double x) {
return ((exp(x) - 1.0) / x);
}
double code(double x) {
double VAR;
if ((x <= -0.00014843984217390087)) {
VAR = ((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))))) / x));
} else {
VAR = fma(0.16666666666666666, pow(x, 2.0), fma(0.5, x, 1.0));
}
return VAR;
}




Bits error versus x
Results
| Original | 40.2 |
|---|---|
| Target | 40.7 |
| Herbie | 0.3 |
if x < -0.00014843984217390087Initial program 0.0
rmApplied flip--0.1
Simplified0.0
rmApplied *-un-lft-identity0.0
Applied add-cube-cbrt0.0
Applied times-frac0.0
Simplified0.0
rmApplied add-cube-cbrt0.0
Applied add-cube-cbrt0.0
Applied times-frac0.0
Applied cbrt-prod0.0
if -0.00014843984217390087 < x Initial program 60.1
Taylor expanded around 0 0.5
Simplified0.5
Final simplification0.3
herbie shell --seed 2020091 +o rules:numerics
(FPCore (x)
:name "Kahan's exp quotient"
:precision binary64
:herbie-target
(if (and (< x 1) (> x -1)) (/ (- (exp x) 1) (log (exp x))) (/ (- (exp x) 1) x))
(/ (- (exp x) 1) x))