Average Error: 0.0 → 0.0
Time: 1.4s
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 r201312 = x;
        double r201313 = y;
        double r201314 = r201312 * r201313;
        double r201315 = r201314 * r201313;
        double r201316 = exp(r201315);
        return r201316;
}
↓
double f(double x, double y) {
        double r201317 = x;
        double r201318 = y;
        double r201319 = r201317 * r201318;
        double r201320 = r201319 * r201318;
        double r201321 = exp(r201320);
        return r201321;
}

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 2020060 +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)))