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 r256427 = x;
        double r256428 = y;
        double r256429 = log(r256428);
        double r256430 = r256428 * r256429;
        double r256431 = r256427 + r256430;
        double r256432 = z;
        double r256433 = r256431 - r256432;
        double r256434 = exp(r256433);
        return r256434;
}
↓
double f(double x, double y, double z) {
        double r256435 = x;
        double r256436 = y;
        double r256437 = log(r256436);
        double r256438 = r256436 * r256437;
        double r256439 = r256435 + r256438;
        double r256440 = z;
        double r256441 = r256439 - r256440;
        double r256442 = exp(r256441);
        return r256442;
}

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 2020039 +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)))