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 r171995 = x;
        double r171996 = y;
        double r171997 = r171995 * r171996;
        double r171998 = r171997 * r171996;
        double r171999 = exp(r171998);
        return r171999;
}
↓
double f(double x, double y) {
        double r172000 = x;
        double r172001 = y;
        double r172002 = r172000 * r172001;
        double r172003 = r172002 * r172001;
        double r172004 = exp(r172003);
        return r172004;
}

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 2019194 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))