Average Error: 0.0 → 0.0
Time: 3.4s
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 r3433128 = x;
        double r3433129 = y;
        double r3433130 = r3433128 * r3433129;
        double r3433131 = r3433130 * r3433129;
        double r3433132 = exp(r3433131);
        return r3433132;
}
↓
double f(double x, double y) {
        double r3433133 = x;
        double r3433134 = y;
        double r3433135 = r3433133 * r3433134;
        double r3433136 = r3433135 * r3433134;
        double r3433137 = exp(r3433136);
        return r3433137;
}

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 2019156 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))