\log \left(\frac{1 - \varepsilon}{1 + \varepsilon}\right)2 \cdot \left({\varepsilon}^{2} - \mathsf{fma}\left(\frac{\varepsilon}{1}, \frac{\varepsilon}{1}, \varepsilon\right)\right) + \log 1double f(double eps) {
double r119718 = 1.0;
double r119719 = eps;
double r119720 = r119718 - r119719;
double r119721 = r119718 + r119719;
double r119722 = r119720 / r119721;
double r119723 = log(r119722);
return r119723;
}
double f(double eps) {
double r119724 = 2.0;
double r119725 = eps;
double r119726 = 2.0;
double r119727 = pow(r119725, r119726);
double r119728 = 1.0;
double r119729 = r119725 / r119728;
double r119730 = fma(r119729, r119729, r119725);
double r119731 = r119727 - r119730;
double r119732 = r119724 * r119731;
double r119733 = log(r119728);
double r119734 = r119732 + r119733;
return r119734;
}




Bits error versus eps
| Original | 58.5 |
|---|---|
| Target | 0.2 |
| Herbie | 0.6 |
Initial program 58.5
Taylor expanded around 0 0.6
Simplified0.6
Final simplification0.6
herbie shell --seed 2020089 +o rules:numerics
(FPCore (eps)
:name "logq (problem 3.4.3)"
:precision binary64
:herbie-target
(* -2 (+ (+ eps (/ (pow eps 3) 3)) (/ (pow eps 5) 5)))
(log (/ (- 1 eps) (+ 1 eps))))