Average Error: 0.0 → 0.0
Time: 2.5s
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 r250413 = x;
        double r250414 = y;
        double r250415 = log(r250414);
        double r250416 = r250414 * r250415;
        double r250417 = r250413 + r250416;
        double r250418 = z;
        double r250419 = r250417 - r250418;
        double r250420 = exp(r250419);
        return r250420;
}

double f(double x, double y, double z) {
        double r250421 = x;
        double r250422 = y;
        double r250423 = log(r250422);
        double r250424 = r250422 * r250423;
        double r250425 = r250421 + r250424;
        double r250426 = z;
        double r250427 = r250425 - r250426;
        double r250428 = exp(r250427);
        return r250428;
}

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 2020046 +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)))