Average Error: 0.0 → 0.0
Time: 3.3s
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 r187622 = x;
        double r187623 = y;
        double r187624 = r187622 * r187623;
        double r187625 = r187624 * r187623;
        double r187626 = exp(r187625);
        return r187626;
}
↓
double f(double x, double y) {
        double r187627 = x;
        double r187628 = y;
        double r187629 = r187627 * r187628;
        double r187630 = r187629 * r187628;
        double r187631 = exp(r187630);
        return r187631;
}

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 2019198 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))