Average Error: 0.0 → 0.0
Time: 3.0s
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 r300918 = x;
        double r300919 = y;
        double r300920 = log(r300919);
        double r300921 = r300919 * r300920;
        double r300922 = r300918 + r300921;
        double r300923 = z;
        double r300924 = r300922 - r300923;
        double r300925 = exp(r300924);
        return r300925;
}

double f(double x, double y, double z) {
        double r300926 = x;
        double r300927 = y;
        double r300928 = log(r300927);
        double r300929 = r300927 * r300928;
        double r300930 = r300926 + r300929;
        double r300931 = z;
        double r300932 = r300930 - r300931;
        double r300933 = exp(r300932);
        return r300933;
}

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 2019353 +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)))