Average Error: 0.0 → 0.0
Time: 9.7s
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 r223015 = x;
        double r223016 = y;
        double r223017 = log(r223016);
        double r223018 = r223016 * r223017;
        double r223019 = r223015 + r223018;
        double r223020 = z;
        double r223021 = r223019 - r223020;
        double r223022 = exp(r223021);
        return r223022;
}

double f(double x, double y, double z) {
        double r223023 = x;
        double r223024 = y;
        double r223025 = log(r223024);
        double r223026 = r223024 * r223025;
        double r223027 = r223023 + r223026;
        double r223028 = z;
        double r223029 = r223027 - r223028;
        double r223030 = exp(r223029);
        return r223030;
}

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 2019212 
(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)))