\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 r100262 = 1.0;
double r100263 = eps;
double r100264 = r100262 - r100263;
double r100265 = r100262 + r100263;
double r100266 = r100264 / r100265;
double r100267 = log(r100266);
return r100267;
}
double f(double eps) {
double r100268 = 2.0;
double r100269 = eps;
double r100270 = 2.0;
double r100271 = pow(r100269, r100270);
double r100272 = 1.0;
double r100273 = r100269 / r100272;
double r100274 = fma(r100273, r100273, r100269);
double r100275 = r100271 - r100274;
double r100276 = r100268 * r100275;
double r100277 = log(r100272);
double r100278 = r100276 + r100277;
return r100278;
}




Bits error versus eps
| Original | 58.5 |
|---|---|
| Target | 0.3 |
| Herbie | 0.7 |
Initial program 58.5
Taylor expanded around 0 0.7
Simplified0.7
Final simplification0.7
herbie shell --seed 2019354 +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))))