Average Error: 0.0 → 0.0
Time: 3.4s
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 r353560 = x;
        double r353561 = y;
        double r353562 = log(r353561);
        double r353563 = r353561 * r353562;
        double r353564 = r353560 + r353563;
        double r353565 = z;
        double r353566 = r353564 - r353565;
        double r353567 = exp(r353566);
        return r353567;
}
↓
double f(double x, double y, double z) {
        double r353568 = x;
        double r353569 = y;
        double r353570 = log(r353569);
        double r353571 = r353569 * r353570;
        double r353572 = r353568 + r353571;
        double r353573 = z;
        double r353574 = r353572 - r353573;
        double r353575 = exp(r353574);
        return r353575;
}

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 2020060 +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)))