\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 r119262 = 1.0;
double r119263 = eps;
double r119264 = r119262 - r119263;
double r119265 = r119262 + r119263;
double r119266 = r119264 / r119265;
double r119267 = log(r119266);
return r119267;
}
double f(double eps) {
double r119268 = 2.0;
double r119269 = eps;
double r119270 = 2.0;
double r119271 = pow(r119269, r119270);
double r119272 = 1.0;
double r119273 = r119269 / r119272;
double r119274 = fma(r119273, r119273, r119269);
double r119275 = r119271 - r119274;
double r119276 = r119268 * r119275;
double r119277 = log(r119272);
double r119278 = r119276 + r119277;
return r119278;
}




Bits error versus eps
| Original | 58.6 |
|---|---|
| Target | 0.2 |
| Herbie | 0.7 |
Initial program 58.6
Taylor expanded around 0 0.7
Simplified0.7
Final simplification0.7
herbie shell --seed 2020059 +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))))