Average Error: 0.0 → 0.0
Time: 3.8s
Precision: 64
\[e^{\left(x + y \cdot \log y\right) - z}\]
\[e^{\left(x + y \cdot \log y\right) - z}\]
e^{\left(x + y \cdot \log y\right) - z}
e^{\left(x + y \cdot \log y\right) - z}
double f(double x, double y, double z) {
        double r250686 = x;
        double r250687 = y;
        double r250688 = log(r250687);
        double r250689 = r250687 * r250688;
        double r250690 = r250686 + r250689;
        double r250691 = z;
        double r250692 = r250690 - r250691;
        double r250693 = exp(r250692);
        return r250693;
}

double f(double x, double y, double z) {
        double r250694 = x;
        double r250695 = y;
        double r250696 = log(r250695);
        double r250697 = r250695 * r250696;
        double r250698 = r250694 + r250697;
        double r250699 = z;
        double r250700 = r250698 - r250699;
        double r250701 = exp(r250700);
        return r250701;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[e^{\left(x - z\right) + \log y \cdot y}\]

Derivation

  1. Initial program 0.0

    \[e^{\left(x + y \cdot \log y\right) - z}\]
  2. Final simplification0.0

    \[\leadsto e^{\left(x + y \cdot \log y\right) - z}\]

Reproduce

herbie shell --seed 2020083 +o rules:numerics
(FPCore (x y z)
  :name "Statistics.Distribution.Poisson.Internal:probability from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (exp (+ (- x z) (* (log y) y)))

  (exp (- (+ x (* y (log y))) z)))