\frac{e^{x} - 1}{x}\begin{array}{l}
\mathbf{if}\;x \leq -0.00016705070932142277:\\
\;\;\;\;\frac{e^{x}}{x} - \frac{1}{x}\\
\mathbf{else}:\\
\;\;\;\;1 + x \cdot \left(0.5 + x \cdot 0.16666666666666666\right)\\
\end{array}(FPCore (x) :precision binary64 (/ (- (exp x) 1.0) x))
(FPCore (x) :precision binary64 (if (<= x -0.00016705070932142277) (- (/ (exp x) x) (/ 1.0 x)) (+ 1.0 (* x (+ 0.5 (* x 0.16666666666666666))))))
double code(double x) {
return (exp(x) - 1.0) / x;
}
double code(double x) {
double tmp;
if (x <= -0.00016705070932142277) {
tmp = (exp(x) / x) - (1.0 / x);
} else {
tmp = 1.0 + (x * (0.5 + (x * 0.16666666666666666)));
}
return tmp;
}




Bits error versus x
Results
| Original | 39.7 |
|---|---|
| Target | 40.0 |
| Herbie | 0.3 |
if x < -1.67050709321422774e-4Initial program 0.1
rmApplied div-sub_binary640.1
if -1.67050709321422774e-4 < x Initial program 60.1
Taylor expanded around 0 0.4
Simplified0.4
Final simplification0.3
herbie shell --seed 2020220
(FPCore (x)
:name "Kahan's exp quotient"
:precision binary64
:herbie-target
(if (and (< x 1.0) (> x -1.0)) (/ (- (exp x) 1.0) (log (exp x))) (/ (- (exp x) 1.0) x))
(/ (- (exp x) 1.0) x))