Average Error: 0.0 → 0.0
Time: 3.0s
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 r202809 = x;
        double r202810 = y;
        double r202811 = r202809 * r202810;
        double r202812 = r202811 * r202810;
        double r202813 = exp(r202812);
        return r202813;
}
↓
double f(double x, double y) {
        double r202814 = x;
        double r202815 = y;
        double r202816 = r202814 * r202815;
        double r202817 = r202816 * r202815;
        double r202818 = exp(r202817);
        return r202818;
}

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 2019194 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))