Average Error: 0.0 → 0.0
Time: 2.4s
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 r172217 = x;
        double r172218 = y;
        double r172219 = r172217 * r172218;
        double r172220 = r172219 * r172218;
        double r172221 = exp(r172220);
        return r172221;
}
↓
double f(double x, double y) {
        double r172222 = x;
        double r172223 = y;
        double r172224 = r172222 * r172223;
        double r172225 = r172224 * r172223;
        double r172226 = exp(r172225);
        return r172226;
}

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 2019305 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))