Average Error: 0.0 → 0.0
Time: 4.0s
Precision: 64
\[e^{\left(x \cdot y\right) \cdot y}\]
↓
\[e^{\left(x \cdot y\right) \cdot y}\]
e^{\left(x \cdot y\right) \cdot y}
↓
e^{\left(x \cdot y\right) \cdot y}
double f(double x, double y) {
        double r290899 = x;
        double r290900 = y;
        double r290901 = r290899 * r290900;
        double r290902 = r290901 * r290900;
        double r290903 = exp(r290902);
        return r290903;
}
↓
double f(double x, double y) {
        double r290904 = x;
        double r290905 = y;
        double r290906 = r290904 * r290905;
        double r290907 = r290906 * r290905;
        double r290908 = exp(r290907);
        return r290908;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[e^{\left(x \cdot y\right) \cdot y}\]

  2. Final simplification0.0

    \[\leadsto e^{\left(x \cdot y\right) \cdot y}\]

Reproduce

herbie shell --seed 2020045 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))