Average Error: 0.0 → 0.0
Time: 8.7s
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 r219321 = x;
        double r219322 = y;
        double r219323 = r219321 * r219322;
        double r219324 = r219323 * r219322;
        double r219325 = exp(r219324);
        return r219325;
}
↓
double f(double x, double y) {
        double r219326 = x;
        double r219327 = y;
        double r219328 = r219326 * r219327;
        double r219329 = r219328 * r219327;
        double r219330 = exp(r219329);
        return r219330;
}

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 2019303 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))