Average Error: 0.0 → 0.0
Time: 22.5s
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 r158287 = x;
        double r158288 = y;
        double r158289 = log(r158288);
        double r158290 = r158288 * r158289;
        double r158291 = r158287 + r158290;
        double r158292 = z;
        double r158293 = r158291 - r158292;
        double r158294 = exp(r158293);
        return r158294;
}
↓
double f(double x, double y, double z) {
        double r158295 = x;
        double r158296 = y;
        double r158297 = log(r158296);
        double r158298 = r158296 * r158297;
        double r158299 = r158295 + r158298;
        double r158300 = z;
        double r158301 = r158299 - r158300;
        double r158302 = exp(r158301);
        return r158302;
}

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 2019322 +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)))