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 r9113653 = x;
        double r9113654 = y;
        double r9113655 = r9113653 * r9113654;
        double r9113656 = r9113655 * r9113654;
        double r9113657 = exp(r9113656);
        return r9113657;
}
↓
double f(double x, double y) {
        double r9113658 = x;
        double r9113659 = y;
        double r9113660 = r9113658 * r9113659;
        double r9113661 = r9113660 * r9113659;
        double r9113662 = exp(r9113661);
        return r9113662;
}

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