Average Error: 0.0 → 0.0
Time: 2.6s
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 r152466 = x;
        double r152467 = y;
        double r152468 = r152466 * r152467;
        double r152469 = r152468 * r152467;
        double r152470 = exp(r152469);
        return r152470;
}
↓
double f(double x, double y) {
        double r152471 = x;
        double r152472 = y;
        double r152473 = r152471 * r152472;
        double r152474 = r152473 * r152472;
        double r152475 = exp(r152474);
        return r152475;
}

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 2019304 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))