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 r163631 = x;
        double r163632 = y;
        double r163633 = r163631 * r163632;
        double r163634 = r163633 * r163632;
        double r163635 = exp(r163634);
        return r163635;
}
↓
double f(double x, double y) {
        double r163636 = x;
        double r163637 = y;
        double r163638 = r163636 * r163637;
        double r163639 = r163638 * r163637;
        double r163640 = exp(r163639);
        return r163640;
}

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 2019297 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))