Average Error: 0.0 → 0.0
Time: 8.2s
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 r137457 = x;
        double r137458 = y;
        double r137459 = r137457 * r137458;
        double r137460 = r137459 * r137458;
        double r137461 = exp(r137460);
        return r137461;
}
↓
double f(double x, double y) {
        double r137462 = x;
        double r137463 = y;
        double r137464 = r137462 * r137463;
        double r137465 = r137464 * r137463;
        double r137466 = exp(r137465);
        return r137466;
}

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 2019306 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))