\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 r69257 = 1.0;
double r69258 = eps;
double r69259 = r69257 - r69258;
double r69260 = r69257 + r69258;
double r69261 = r69259 / r69260;
double r69262 = log(r69261);
return r69262;
}
double f(double eps) {
double r69263 = 2.0;
double r69264 = eps;
double r69265 = 2.0;
double r69266 = pow(r69264, r69265);
double r69267 = 1.0;
double r69268 = r69264 / r69267;
double r69269 = fma(r69268, r69268, r69264);
double r69270 = r69266 - r69269;
double r69271 = r69263 * r69270;
double r69272 = log(r69267);
double r69273 = r69271 + r69272;
return r69273;
}




Bits error versus eps
| Original | 58.6 |
|---|---|
| Target | 0.2 |
| Herbie | 0.6 |
Initial program 58.6
Taylor expanded around 0 0.6
Simplified0.6
Final simplification0.6
herbie shell --seed 2019346 +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))))