Average Error: 0.0 → 0.0
Time: 2.6s
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 r137041 = x;
        double r137042 = y;
        double r137043 = r137041 * r137042;
        double r137044 = r137043 * r137042;
        double r137045 = exp(r137044);
        return r137045;
}
↓
double f(double x, double y) {
        double r137046 = x;
        double r137047 = y;
        double r137048 = r137046 * r137047;
        double r137049 = r137048 * r137047;
        double r137050 = exp(r137049);
        return r137050;
}

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 2019235 +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)))