Average Error: 0.0 → 0.0
Time: 3.5s
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 r10527867 = x;
        double r10527868 = y;
        double r10527869 = r10527867 * r10527868;
        double r10527870 = r10527869 * r10527868;
        double r10527871 = exp(r10527870);
        return r10527871;
}
↓
double f(double x, double y) {
        double r10527872 = x;
        double r10527873 = y;
        double r10527874 = r10527872 * r10527873;
        double r10527875 = r10527874 * r10527873;
        double r10527876 = exp(r10527875);
        return r10527876;
}

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 2019192 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))