Average Error: 0.0 → 0.0
Time: 2.9s
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 r297820 = x;
        double r297821 = y;
        double r297822 = log(r297821);
        double r297823 = r297821 * r297822;
        double r297824 = r297820 + r297823;
        double r297825 = z;
        double r297826 = r297824 - r297825;
        double r297827 = exp(r297826);
        return r297827;
}
↓
double f(double x, double y, double z) {
        double r297828 = x;
        double r297829 = y;
        double r297830 = log(r297829);
        double r297831 = r297829 * r297830;
        double r297832 = r297828 + r297831;
        double r297833 = z;
        double r297834 = r297832 - r297833;
        double r297835 = exp(r297834);
        return r297835;
}

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 2020001 +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)))