Average Error: 0.0 → 0.0
Time: 8.4s
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 r162597 = x;
        double r162598 = y;
        double r162599 = r162597 * r162598;
        double r162600 = r162599 * r162598;
        double r162601 = exp(r162600);
        return r162601;
}
↓
double f(double x, double y) {
        double r162602 = x;
        double r162603 = y;
        double r162604 = r162602 * r162603;
        double r162605 = r162604 * r162603;
        double r162606 = exp(r162605);
        return r162606;
}

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