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 r337391 = x;
        double r337392 = y;
        double r337393 = log(r337392);
        double r337394 = r337392 * r337393;
        double r337395 = r337391 + r337394;
        double r337396 = z;
        double r337397 = r337395 - r337396;
        double r337398 = exp(r337397);
        return r337398;
}
↓
double f(double x, double y, double z) {
        double r337399 = x;
        double r337400 = y;
        double r337401 = log(r337400);
        double r337402 = r337400 * r337401;
        double r337403 = r337399 + r337402;
        double r337404 = z;
        double r337405 = r337403 - r337404;
        double r337406 = exp(r337405);
        return r337406;
}

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 2020057 +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)))