Average Error: 0.0 → 0.0
Time: 15.4s
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 r194644 = x;
        double r194645 = y;
        double r194646 = log(r194645);
        double r194647 = r194645 * r194646;
        double r194648 = r194644 + r194647;
        double r194649 = z;
        double r194650 = r194648 - r194649;
        double r194651 = exp(r194650);
        return r194651;
}
↓
double f(double x, double y, double z) {
        double r194652 = x;
        double r194653 = y;
        double r194654 = log(r194653);
        double r194655 = r194653 * r194654;
        double r194656 = r194652 + r194655;
        double r194657 = z;
        double r194658 = r194656 - r194657;
        double r194659 = exp(r194658);
        return r194659;
}

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 2019322 
(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)))