Average Error: 0.0 → 0.0
Time: 7.7s
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 r298317 = x;
        double r298318 = y;
        double r298319 = log(r298318);
        double r298320 = r298318 * r298319;
        double r298321 = r298317 + r298320;
        double r298322 = z;
        double r298323 = r298321 - r298322;
        double r298324 = exp(r298323);
        return r298324;
}
↓
double f(double x, double y, double z) {
        double r298325 = x;
        double r298326 = y;
        double r298327 = log(r298326);
        double r298328 = r298326 * r298327;
        double r298329 = r298325 + r298328;
        double r298330 = z;
        double r298331 = r298329 - r298330;
        double r298332 = exp(r298331);
        return r298332;
}

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 2020035 +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)))