Average Error: 0.0 → 0.0
Time: 9.7s
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 r353546 = x;
        double r353547 = y;
        double r353548 = log(r353547);
        double r353549 = r353547 * r353548;
        double r353550 = r353546 + r353549;
        double r353551 = z;
        double r353552 = r353550 - r353551;
        double r353553 = exp(r353552);
        return r353553;
}
↓
double f(double x, double y, double z) {
        double r353554 = x;
        double r353555 = y;
        double r353556 = log(r353555);
        double r353557 = r353555 * r353556;
        double r353558 = r353554 + r353557;
        double r353559 = z;
        double r353560 = r353558 - r353559;
        double r353561 = exp(r353560);
        return r353561;
}

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 2020042 +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)))