Average Error: 0.0 → 0.0
Time: 2.6s
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 r395314 = x;
        double r395315 = y;
        double r395316 = log(r395315);
        double r395317 = r395315 * r395316;
        double r395318 = r395314 + r395317;
        double r395319 = z;
        double r395320 = r395318 - r395319;
        double r395321 = exp(r395320);
        return r395321;
}
↓
double f(double x, double y, double z) {
        double r395322 = x;
        double r395323 = y;
        double r395324 = log(r395323);
        double r395325 = r395323 * r395324;
        double r395326 = r395322 + r395325;
        double r395327 = z;
        double r395328 = r395326 - r395327;
        double r395329 = exp(r395328);
        return r395329;
}

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 
(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)))