Average Error: 0.0 → 0.0
Time: 12.9s
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 r184613 = x;
        double r184614 = y;
        double r184615 = r184613 * r184614;
        double r184616 = r184615 * r184614;
        double r184617 = exp(r184616);
        return r184617;
}
↓
double f(double x, double y) {
        double r184618 = x;
        double r184619 = y;
        double r184620 = r184618 * r184619;
        double r184621 = r184620 * r184619;
        double r184622 = exp(r184621);
        return r184622;
}

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 2019304 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))