Average Error: 0.0 → 0.0
Time: 21.6s
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 r192500 = x;
        double r192501 = y;
        double r192502 = log(r192501);
        double r192503 = r192501 * r192502;
        double r192504 = r192500 + r192503;
        double r192505 = z;
        double r192506 = r192504 - r192505;
        double r192507 = exp(r192506);
        return r192507;
}
↓
double f(double x, double y, double z) {
        double r192508 = x;
        double r192509 = y;
        double r192510 = log(r192509);
        double r192511 = r192509 * r192510;
        double r192512 = r192508 + r192511;
        double r192513 = z;
        double r192514 = r192512 - r192513;
        double r192515 = exp(r192514);
        return r192515;
}

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 2019323 
(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)))