Average Error: 0.0 → 0.0
Time: 3.5s
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 r278207 = x;
        double r278208 = y;
        double r278209 = log(r278208);
        double r278210 = r278208 * r278209;
        double r278211 = r278207 + r278210;
        double r278212 = z;
        double r278213 = r278211 - r278212;
        double r278214 = exp(r278213);
        return r278214;
}
↓
double f(double x, double y, double z) {
        double r278215 = x;
        double r278216 = y;
        double r278217 = log(r278216);
        double r278218 = r278216 * r278217;
        double r278219 = r278215 + r278218;
        double r278220 = z;
        double r278221 = r278219 - r278220;
        double r278222 = exp(r278221);
        return r278222;
}

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 2020033 +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)))