\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 r108886 = 1.0;
double r108887 = eps;
double r108888 = r108886 - r108887;
double r108889 = r108886 + r108887;
double r108890 = r108888 / r108889;
double r108891 = log(r108890);
return r108891;
}
double f(double eps) {
double r108892 = 2.0;
double r108893 = eps;
double r108894 = 2.0;
double r108895 = pow(r108893, r108894);
double r108896 = 1.0;
double r108897 = r108893 / r108896;
double r108898 = fma(r108897, r108897, r108893);
double r108899 = r108895 - r108898;
double r108900 = r108892 * r108899;
double r108901 = log(r108896);
double r108902 = r108900 + r108901;
return r108902;
}




Bits error versus eps
| Original | 58.7 |
|---|---|
| Target | 0.2 |
| Herbie | 0.6 |
Initial program 58.7
Taylor expanded around 0 0.6
Simplified0.6
Final simplification0.6
herbie shell --seed 2020083 +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))))