\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 r126112 = 1.0;
double r126113 = eps;
double r126114 = r126112 - r126113;
double r126115 = r126112 + r126113;
double r126116 = r126114 / r126115;
double r126117 = log(r126116);
return r126117;
}
double f(double eps) {
double r126118 = 2.0;
double r126119 = eps;
double r126120 = 2.0;
double r126121 = pow(r126119, r126120);
double r126122 = 1.0;
double r126123 = r126119 / r126122;
double r126124 = fma(r126123, r126123, r126119);
double r126125 = r126121 - r126124;
double r126126 = r126118 * r126125;
double r126127 = log(r126122);
double r126128 = r126126 + r126127;
return r126128;
}




Bits error versus eps
| Original | 58.5 |
|---|---|
| Target | 0.2 |
| Herbie | 0.7 |
Initial program 58.5
Taylor expanded around 0 0.7
Simplified0.7
Final simplification0.7
herbie shell --seed 2020062 +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))))