wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}\begin{array}{l}
\mathbf{if}\;wj \leq 1.3775701032820146 \cdot 10^{-06}:\\
\;\;\;\;\left({wj}^{2} + \left(x + 2.5 \cdot \left({wj}^{2} \cdot x\right)\right)\right) - \left({wj}^{3} + \left(2 \cdot \left(wj \cdot x\right) + 2.6666666666666665 \cdot \left(x \cdot {wj}^{3}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;wj + \frac{\frac{1}{\frac{e^{wj}}{x}} - wj}{wj + 1}\\
\end{array}(FPCore (wj x) :precision binary64 (- wj (/ (- (* wj (exp wj)) x) (+ (exp wj) (* wj (exp wj))))))
(FPCore (wj x)
:precision binary64
(if (<= wj 1.3775701032820146e-06)
(-
(+ (pow wj 2.0) (+ x (* 2.5 (* (pow wj 2.0) x))))
(+
(pow wj 3.0)
(+ (* 2.0 (* wj x)) (* 2.6666666666666665 (* x (pow wj 3.0))))))
(+ wj (/ (- (/ 1.0 (/ (exp wj) x)) wj) (+ wj 1.0)))))double code(double wj, double x) {
return wj - (((wj * exp(wj)) - x) / (exp(wj) + (wj * exp(wj))));
}
double code(double wj, double x) {
double tmp;
if (wj <= 1.3775701032820146e-06) {
tmp = (pow(wj, 2.0) + (x + (2.5 * (pow(wj, 2.0) * x)))) - (pow(wj, 3.0) + ((2.0 * (wj * x)) + (2.6666666666666665 * (x * pow(wj, 3.0)))));
} else {
tmp = wj + (((1.0 / (exp(wj) / x)) - wj) / (wj + 1.0));
}
return tmp;
}




Bits error versus wj




Bits error versus x
Results
| Original | 13.5 |
|---|---|
| Target | 12.8 |
| Herbie | 0.7 |
if wj < 1.37757010328201456e-6Initial program 13.1
Simplified13.1
Taylor expanded around 0 0.6
Simplified0.7
Taylor expanded around 0 0.6
if 1.37757010328201456e-6 < wj Initial program 27.7
Simplified1.7
rmApplied clear-num_binary64_34871.7
Final simplification0.7
herbie shell --seed 2021022
(FPCore (wj x)
:name "Jmat.Real.lambertw, newton loop step"
:precision binary64
:herbie-target
(- wj (- (/ wj (+ wj 1.0)) (/ x (+ (exp wj) (* wj (exp wj))))))
(- wj (/ (- (* wj (exp wj)) x) (+ (exp wj) (* wj (exp wj))))))