Average Error: 0.0 → 0.0
Time: 4.4s
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 r233468 = x;
        double r233469 = y;
        double r233470 = log(r233469);
        double r233471 = r233469 * r233470;
        double r233472 = r233468 + r233471;
        double r233473 = z;
        double r233474 = r233472 - r233473;
        double r233475 = exp(r233474);
        return r233475;
}
↓
double f(double x, double y, double z) {
        double r233476 = x;
        double r233477 = y;
        double r233478 = log(r233477);
        double r233479 = r233477 * r233478;
        double r233480 = r233476 + r233479;
        double r233481 = z;
        double r233482 = r233480 - r233481;
        double r233483 = exp(r233482);
        return r233483;
}

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 2020036 +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)))