Average Error: 0.0 → 0.0
Time: 4.6s
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 r216026 = x;
        double r216027 = y;
        double r216028 = r216026 * r216027;
        double r216029 = r216028 * r216027;
        double r216030 = exp(r216029);
        return r216030;
}
↓
double f(double x, double y) {
        double r216031 = x;
        double r216032 = y;
        double r216033 = r216031 * r216032;
        double r216034 = r216033 * r216032;
        double r216035 = exp(r216034);
        return r216035;
}

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 2020045 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))