Average Error: 0.0 → 0.0
Time: 3.4s
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 r148320 = x;
        double r148321 = y;
        double r148322 = r148320 * r148321;
        double r148323 = r148322 * r148321;
        double r148324 = exp(r148323);
        return r148324;
}
↓
double f(double x, double y) {
        double r148325 = x;
        double r148326 = y;
        double r148327 = r148325 * r148326;
        double r148328 = r148327 * r148326;
        double r148329 = exp(r148328);
        return r148329;
}

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 2019199 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))