Average Error: 0.0 → 0.0
Time: 8.5s
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 r144818 = x;
        double r144819 = y;
        double r144820 = r144818 * r144819;
        double r144821 = r144820 * r144819;
        double r144822 = exp(r144821);
        return r144822;
}
↓
double f(double x, double y) {
        double r144823 = x;
        double r144824 = y;
        double r144825 = r144823 * r144824;
        double r144826 = r144825 * r144824;
        double r144827 = exp(r144826);
        return r144827;
}

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 2019323 +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)))