Average Error: 0.0 → 0.0
Time: 1.0s
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 r257835 = x;
        double r257836 = y;
        double r257837 = r257835 * r257836;
        double r257838 = r257837 * r257836;
        double r257839 = exp(r257838);
        return r257839;
}
↓
double f(double x, double y) {
        double r257840 = x;
        double r257841 = y;
        double r257842 = r257840 * r257841;
        double r257843 = r257842 * r257841;
        double r257844 = exp(r257843);
        return r257844;
}

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 2019322 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))