Average Error: 0.0 → 0.0
Time: 2.8s
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 r133271 = x;
        double r133272 = y;
        double r133273 = r133271 * r133272;
        double r133274 = r133273 * r133272;
        double r133275 = exp(r133274);
        return r133275;
}
↓
double f(double x, double y) {
        double r133276 = x;
        double r133277 = y;
        double r133278 = r133276 * r133277;
        double r133279 = r133278 * r133277;
        double r133280 = exp(r133279);
        return r133280;
}

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 2019179 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))