Average Error: 0.0 → 0.0
Time: 2.8s
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 r318516 = x;
        double r318517 = y;
        double r318518 = log(r318517);
        double r318519 = r318517 * r318518;
        double r318520 = r318516 + r318519;
        double r318521 = z;
        double r318522 = r318520 - r318521;
        double r318523 = exp(r318522);
        return r318523;
}

double f(double x, double y, double z) {
        double r318524 = x;
        double r318525 = y;
        double r318526 = log(r318525);
        double r318527 = r318525 * r318526;
        double r318528 = r318524 + r318527;
        double r318529 = z;
        double r318530 = r318528 - r318529;
        double r318531 = exp(r318530);
        return r318531;
}

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 2020002 +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)))