Average Error: 0.0 → 0.0
Time: 5.0s
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 r303566 = x;
        double r303567 = y;
        double r303568 = log(r303567);
        double r303569 = r303567 * r303568;
        double r303570 = r303566 + r303569;
        double r303571 = z;
        double r303572 = r303570 - r303571;
        double r303573 = exp(r303572);
        return r303573;
}

double f(double x, double y, double z) {
        double r303574 = x;
        double r303575 = y;
        double r303576 = log(r303575);
        double r303577 = r303575 * r303576;
        double r303578 = r303574 + r303577;
        double r303579 = z;
        double r303580 = r303578 - r303579;
        double r303581 = exp(r303580);
        return r303581;
}

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 2019322 
(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)))