Average Error: 0.0 → 0.0
Time: 15.3s
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 r168225 = x;
        double r168226 = y;
        double r168227 = log(r168226);
        double r168228 = r168226 * r168227;
        double r168229 = r168225 + r168228;
        double r168230 = z;
        double r168231 = r168229 - r168230;
        double r168232 = exp(r168231);
        return r168232;
}
↓
double f(double x, double y, double z) {
        double r168233 = x;
        double r168234 = y;
        double r168235 = log(r168234);
        double r168236 = r168234 * r168235;
        double r168237 = r168233 + r168236;
        double r168238 = z;
        double r168239 = r168237 - r168238;
        double r168240 = exp(r168239);
        return r168240;
}

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 2019209 +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)))