Average Error: 0.0 → 0.0
Time: 2.6s
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 r232834 = x;
        double r232835 = y;
        double r232836 = r232834 * r232835;
        double r232837 = r232836 * r232835;
        double r232838 = exp(r232837);
        return r232838;
}
↓
double f(double x, double y) {
        double r232839 = x;
        double r232840 = y;
        double r232841 = r232839 * r232840;
        double r232842 = r232841 * r232840;
        double r232843 = exp(r232842);
        return r232843;
}

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 2020024 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))