Average Error: 0.0 → 0.0
Time: 1.5s
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 r215894 = x;
        double r215895 = y;
        double r215896 = r215894 * r215895;
        double r215897 = r215896 * r215895;
        double r215898 = exp(r215897);
        return r215898;
}
↓
double f(double x, double y) {
        double r215899 = x;
        double r215900 = y;
        double r215901 = r215899 * r215900;
        double r215902 = r215901 * r215900;
        double r215903 = exp(r215902);
        return r215903;
}

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 2020060 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))