Average Error: 0.0 → 0.0
Time: 3.4s
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 r215605 = x;
        double r215606 = y;
        double r215607 = r215605 * r215606;
        double r215608 = r215607 * r215606;
        double r215609 = exp(r215608);
        return r215609;
}
↓
double f(double x, double y) {
        double r215610 = x;
        double r215611 = y;
        double r215612 = r215610 * r215611;
        double r215613 = r215612 * r215611;
        double r215614 = exp(r215613);
        return r215614;
}

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 2019303 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))