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 r247884 = x;
        double r247885 = y;
        double r247886 = log(r247885);
        double r247887 = r247885 * r247886;
        double r247888 = r247884 + r247887;
        double r247889 = z;
        double r247890 = r247888 - r247889;
        double r247891 = exp(r247890);
        return r247891;
}
↓
double f(double x, double y, double z) {
        double r247892 = x;
        double r247893 = y;
        double r247894 = log(r247893);
        double r247895 = r247893 * r247894;
        double r247896 = r247892 + r247895;
        double r247897 = z;
        double r247898 = r247896 - r247897;
        double r247899 = exp(r247898);
        return r247899;
}

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 2020003 
(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)))