Average Error: 0.0 → 0.0
Time: 774.0ms
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 r206371 = x;
        double r206372 = y;
        double r206373 = r206371 * r206372;
        double r206374 = r206373 * r206372;
        double r206375 = exp(r206374);
        return r206375;
}
↓
double f(double x, double y) {
        double r206376 = x;
        double r206377 = y;
        double r206378 = r206376 * r206377;
        double r206379 = r206378 * r206377;
        double r206380 = exp(r206379);
        return r206380;
}

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 2020047 +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)))