Average Error: 0.0 → 0.0
Time: 1.1s
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 r144150 = x;
        double r144151 = y;
        double r144152 = r144150 * r144151;
        double r144153 = r144152 * r144151;
        double r144154 = exp(r144153);
        return r144154;
}
↓
double f(double x, double y) {
        double r144155 = x;
        double r144156 = y;
        double r144157 = r144155 * r144156;
        double r144158 = r144157 * r144156;
        double r144159 = exp(r144158);
        return r144159;
}

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 2019308 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))