Average Error: 0.0 → 0.0
Time: 918.0ms
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 r220809 = x;
        double r220810 = y;
        double r220811 = r220809 * r220810;
        double r220812 = r220811 * r220810;
        double r220813 = exp(r220812);
        return r220813;
}
↓
double f(double x, double y) {
        double r220814 = x;
        double r220815 = y;
        double r220816 = r220814 * r220815;
        double r220817 = r220816 * r220815;
        double r220818 = exp(r220817);
        return r220818;
}

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 2020034 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))