Average Error: 0.0 → 0.0
Time: 5.4s
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 r8209129 = x;
        double r8209130 = y;
        double r8209131 = r8209129 * r8209130;
        double r8209132 = r8209131 * r8209130;
        double r8209133 = exp(r8209132);
        return r8209133;
}
↓
double f(double x, double y) {
        double r8209134 = x;
        double r8209135 = y;
        double r8209136 = r8209134 * r8209135;
        double r8209137 = r8209136 * r8209135;
        double r8209138 = exp(r8209137);
        return r8209138;
}

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 2019163 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))