Average Error: 0.0 → 0.0
Time: 719.0ms
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 r214444 = x;
        double r214445 = y;
        double r214446 = r214444 * r214445;
        double r214447 = r214446 * r214445;
        double r214448 = exp(r214447);
        return r214448;
}
↓
double f(double x, double y) {
        double r214449 = x;
        double r214450 = y;
        double r214451 = r214449 * r214450;
        double r214452 = r214451 * r214450;
        double r214453 = exp(r214452);
        return r214453;
}

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 2019362 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))