\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 r93950 = 1.0;
double r93951 = eps;
double r93952 = r93950 - r93951;
double r93953 = r93950 + r93951;
double r93954 = r93952 / r93953;
double r93955 = log(r93954);
return r93955;
}
double f(double eps) {
double r93956 = 2.0;
double r93957 = eps;
double r93958 = 2.0;
double r93959 = pow(r93957, r93958);
double r93960 = 1.0;
double r93961 = r93957 / r93960;
double r93962 = fma(r93961, r93961, r93957);
double r93963 = r93959 - r93962;
double r93964 = r93956 * r93963;
double r93965 = log(r93960);
double r93966 = r93964 + r93965;
return r93966;
}




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 2020060 +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))))