Average Error: 0.0 → 0.0
Time: 17.0s
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 r179670 = x;
        double r179671 = y;
        double r179672 = log(r179671);
        double r179673 = r179671 * r179672;
        double r179674 = r179670 + r179673;
        double r179675 = z;
        double r179676 = r179674 - r179675;
        double r179677 = exp(r179676);
        return r179677;
}
↓
double f(double x, double y, double z) {
        double r179678 = x;
        double r179679 = y;
        double r179680 = log(r179679);
        double r179681 = r179679 * r179680;
        double r179682 = r179678 + r179681;
        double r179683 = z;
        double r179684 = r179682 - r179683;
        double r179685 = exp(r179684);
        return r179685;
}

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 2019304 +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)))