Average Error: 0.0 → 0.0
Time: 3.0s
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 r221005 = x;
        double r221006 = y;
        double r221007 = r221005 * r221006;
        double r221008 = r221007 * r221006;
        double r221009 = exp(r221008);
        return r221009;
}
↓
double f(double x, double y) {
        double r221010 = x;
        double r221011 = y;
        double r221012 = r221010 * r221011;
        double r221013 = r221012 * r221011;
        double r221014 = exp(r221013);
        return r221014;
}

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 2019298 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))