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 r298813 = x;
        double r298814 = y;
        double r298815 = log(r298814);
        double r298816 = r298814 * r298815;
        double r298817 = r298813 + r298816;
        double r298818 = z;
        double r298819 = r298817 - r298818;
        double r298820 = exp(r298819);
        return r298820;
}

double f(double x, double y, double z) {
        double r298821 = x;
        double r298822 = y;
        double r298823 = log(r298822);
        double r298824 = r298822 * r298823;
        double r298825 = r298821 + r298824;
        double r298826 = z;
        double r298827 = r298825 - r298826;
        double r298828 = exp(r298827);
        return r298828;
}

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 2020001 +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)))