\left(\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\right) \cdot e^{\frac{t \cdot t}{2}}\left(\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\right) \cdot e^{\frac{t \cdot t}{2}}double f(double x, double y, double z, double t) {
double r885622 = x;
double r885623 = 0.5;
double r885624 = r885622 * r885623;
double r885625 = y;
double r885626 = r885624 - r885625;
double r885627 = z;
double r885628 = 2.0;
double r885629 = r885627 * r885628;
double r885630 = sqrt(r885629);
double r885631 = r885626 * r885630;
double r885632 = t;
double r885633 = r885632 * r885632;
double r885634 = r885633 / r885628;
double r885635 = exp(r885634);
double r885636 = r885631 * r885635;
return r885636;
}
double f(double x, double y, double z, double t) {
double r885637 = x;
double r885638 = 0.5;
double r885639 = r885637 * r885638;
double r885640 = y;
double r885641 = r885639 - r885640;
double r885642 = z;
double r885643 = 2.0;
double r885644 = r885642 * r885643;
double r885645 = sqrt(r885644);
double r885646 = r885641 * r885645;
double r885647 = t;
double r885648 = r885647 * r885647;
double r885649 = r885648 / r885643;
double r885650 = exp(r885649);
double r885651 = r885646 * r885650;
return r885651;
}




Bits error versus x




Bits error versus y




Bits error versus z




Bits error versus t
Results
| Original | 0.3 |
|---|---|
| Target | 0.3 |
| Herbie | 0.3 |
Initial program 0.3
Final simplification0.3
herbie shell --seed 2019353 +o rules:numerics
(FPCore (x y z t)
:name "Data.Number.Erf:$cinvnormcdf from erf-2.0.0.0, A"
:precision binary64
:herbie-target
(* (* (- (* x 0.5) y) (sqrt (* z 2))) (pow (exp 1) (/ (* t t) 2)))
(* (* (- (* x 0.5) y) (sqrt (* z 2))) (exp (/ (* t t) 2))))