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 r363439 = x;
        double r363440 = y;
        double r363441 = log(r363440);
        double r363442 = r363440 * r363441;
        double r363443 = r363439 + r363442;
        double r363444 = z;
        double r363445 = r363443 - r363444;
        double r363446 = exp(r363445);
        return r363446;
}

double f(double x, double y, double z) {
        double r363447 = x;
        double r363448 = y;
        double r363449 = log(r363448);
        double r363450 = r363448 * r363449;
        double r363451 = r363447 + r363450;
        double r363452 = z;
        double r363453 = r363451 - r363452;
        double r363454 = exp(r363453);
        return r363454;
}

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 2019353 
(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)))