Average Error: 0.0 → 0.0
Time: 1.0s
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 r189650 = x;
        double r189651 = y;
        double r189652 = r189650 * r189651;
        double r189653 = r189652 * r189651;
        double r189654 = exp(r189653);
        return r189654;
}
↓
double f(double x, double y) {
        double r189655 = x;
        double r189656 = y;
        double r189657 = r189655 * r189656;
        double r189658 = r189657 * r189656;
        double r189659 = exp(r189658);
        return r189659;
}

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 2020036 +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)))