Average Error: 0.0 → 0.0
Time: 892.0ms
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 r253980 = x;
        double r253981 = y;
        double r253982 = r253980 * r253981;
        double r253983 = r253982 * r253981;
        double r253984 = exp(r253983);
        return r253984;
}
↓
double f(double x, double y) {
        double r253985 = x;
        double r253986 = y;
        double r253987 = r253985 * r253986;
        double r253988 = r253987 * r253986;
        double r253989 = exp(r253988);
        return r253989;
}

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 2020100 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))