Average Error: 0.0 → 0.0
Time: 9.9s
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 r157599 = x;
        double r157600 = y;
        double r157601 = r157599 * r157600;
        double r157602 = r157601 * r157600;
        double r157603 = exp(r157602);
        return r157603;
}
↓
double f(double x, double y) {
        double r157604 = x;
        double r157605 = y;
        double r157606 = r157604 * r157605;
        double r157607 = r157606 * r157605;
        double r157608 = exp(r157607);
        return r157608;
}

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