Average Error: 0.0 → 0.0
Time: 2.7s
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 r167221 = x;
        double r167222 = y;
        double r167223 = r167221 * r167222;
        double r167224 = r167223 * r167222;
        double r167225 = exp(r167224);
        return r167225;
}
↓
double f(double x, double y) {
        double r167226 = x;
        double r167227 = y;
        double r167228 = r167226 * r167227;
        double r167229 = r167228 * r167227;
        double r167230 = exp(r167229);
        return r167230;
}

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 2019196 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))