\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 r96287 = 1.0;
double r96288 = eps;
double r96289 = r96287 - r96288;
double r96290 = r96287 + r96288;
double r96291 = r96289 / r96290;
double r96292 = log(r96291);
return r96292;
}
double f(double eps) {
double r96293 = 2.0;
double r96294 = eps;
double r96295 = 2.0;
double r96296 = pow(r96294, r96295);
double r96297 = 1.0;
double r96298 = r96294 / r96297;
double r96299 = fma(r96298, r96298, r96294);
double r96300 = r96296 - r96299;
double r96301 = r96293 * r96300;
double r96302 = log(r96297);
double r96303 = r96301 + r96302;
return r96303;
}




Bits error versus eps
| Original | 58.6 |
|---|---|
| Target | 0.3 |
| Herbie | 0.7 |
Initial program 58.6
Taylor expanded around 0 0.7
Simplified0.7
Final simplification0.7
herbie shell --seed 2019356 +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))))