Average Error: 0.0 → 0.0
Time: 1.5s
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 r184821 = x;
        double r184822 = y;
        double r184823 = r184821 * r184822;
        double r184824 = r184823 * r184822;
        double r184825 = exp(r184824);
        return r184825;
}
↓
double f(double x, double y) {
        double r184826 = x;
        double r184827 = y;
        double r184828 = r184826 * r184827;
        double r184829 = r184828 * r184827;
        double r184830 = exp(r184829);
        return r184830;
}

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 2020060 +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)))