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 r389992 = x;
        double r389993 = y;
        double r389994 = r389992 * r389993;
        double r389995 = r389994 * r389993;
        double r389996 = exp(r389995);
        return r389996;
}
↓
double f(double x, double y) {
        double r389997 = x;
        double r389998 = y;
        double r389999 = r389997 * r389998;
        double r390000 = r389999 * r389998;
        double r390001 = exp(r390000);
        return r390001;
}

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 2019174 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))