Average Error: 0.0 → 0.0
Time: 6.9s
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 r148237 = x;
        double r148238 = y;
        double r148239 = r148237 * r148238;
        double r148240 = r148239 * r148238;
        double r148241 = exp(r148240);
        return r148241;
}
↓
double f(double x, double y) {
        double r148242 = x;
        double r148243 = y;
        double r148244 = r148242 * r148243;
        double r148245 = r148244 * r148243;
        double r148246 = exp(r148245);
        return r148246;
}

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 2019322 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))