Average Error: 0.0 → 0.0
Time: 5.7s
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 r10482696 = x;
        double r10482697 = y;
        double r10482698 = r10482696 * r10482697;
        double r10482699 = r10482698 * r10482697;
        double r10482700 = exp(r10482699);
        return r10482700;
}
↓
double f(double x, double y) {
        double r10482701 = x;
        double r10482702 = y;
        double r10482703 = r10482701 * r10482702;
        double r10482704 = r10482703 * r10482702;
        double r10482705 = exp(r10482704);
        return r10482705;
}

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 2019163 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))