Average Error: 0.0 → 0.0
Time: 2.9s
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 r301591 = x;
        double r301592 = y;
        double r301593 = log(r301592);
        double r301594 = r301592 * r301593;
        double r301595 = r301591 + r301594;
        double r301596 = z;
        double r301597 = r301595 - r301596;
        double r301598 = exp(r301597);
        return r301598;
}
↓
double f(double x, double y, double z) {
        double r301599 = x;
        double r301600 = y;
        double r301601 = log(r301600);
        double r301602 = r301600 * r301601;
        double r301603 = r301599 + r301602;
        double r301604 = z;
        double r301605 = r301603 - r301604;
        double r301606 = exp(r301605);
        return r301606;
}

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 2019356 
(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)))