Average Error: 0.0 → 0.0
Time: 9.6s
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 r256761 = x;
        double r256762 = y;
        double r256763 = log(r256762);
        double r256764 = r256762 * r256763;
        double r256765 = r256761 + r256764;
        double r256766 = z;
        double r256767 = r256765 - r256766;
        double r256768 = exp(r256767);
        return r256768;
}
↓
double f(double x, double y, double z) {
        double r256769 = x;
        double r256770 = y;
        double r256771 = log(r256770);
        double r256772 = r256770 * r256771;
        double r256773 = r256769 + r256772;
        double r256774 = z;
        double r256775 = r256773 - r256774;
        double r256776 = exp(r256775);
        return r256776;
}

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 2019212 +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)))