Average Error: 0.0 → 0.0
Time: 1.0s
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 r227625 = x;
        double r227626 = y;
        double r227627 = r227625 * r227626;
        double r227628 = r227627 * r227626;
        double r227629 = exp(r227628);
        return r227629;
}
↓
double f(double x, double y) {
        double r227630 = x;
        double r227631 = y;
        double r227632 = r227630 * r227631;
        double r227633 = r227632 * r227631;
        double r227634 = exp(r227633);
        return r227634;
}

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 2020035 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))