Average Error: 0.0 → 0.0
Time: 7.6s
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 r231983 = x;
        double r231984 = y;
        double r231985 = r231983 * r231984;
        double r231986 = r231985 * r231984;
        double r231987 = exp(r231986);
        return r231987;
}
↓
double f(double x, double y) {
        double r231988 = x;
        double r231989 = y;
        double r231990 = r231988 * r231989;
        double r231991 = r231990 * r231989;
        double r231992 = exp(r231991);
        return r231992;
}

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 2019326 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))