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 r201674 = x;
        double r201675 = y;
        double r201676 = r201674 * r201675;
        double r201677 = r201676 * r201675;
        double r201678 = exp(r201677);
        return r201678;
}
↓
double f(double x, double y) {
        double r201679 = x;
        double r201680 = y;
        double r201681 = r201679 * r201680;
        double r201682 = r201681 * r201680;
        double r201683 = exp(r201682);
        return r201683;
}

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 2019208 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))