Average Error: 0.0 → 0.0
Time: 3.3s
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 r118814 = x;
        double r118815 = y;
        double r118816 = r118814 * r118815;
        double r118817 = r118816 * r118815;
        double r118818 = exp(r118817);
        return r118818;
}
↓
double f(double x, double y) {
        double r118819 = x;
        double r118820 = y;
        double r118821 = r118819 * r118820;
        double r118822 = r118821 * r118820;
        double r118823 = exp(r118822);
        return r118823;
}

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 2019294 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))