Average Error: 0.0 → 0.0
Time: 7.1s
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 r9473392 = x;
        double r9473393 = y;
        double r9473394 = r9473392 * r9473393;
        double r9473395 = r9473394 * r9473393;
        double r9473396 = exp(r9473395);
        return r9473396;
}
↓
double f(double x, double y) {
        double r9473397 = x;
        double r9473398 = y;
        double r9473399 = r9473397 * r9473398;
        double r9473400 = r9473399 * r9473398;
        double r9473401 = exp(r9473400);
        return r9473401;
}

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 2019163 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))