Average Error: 0.0 → 0.0
Time: 1.5s
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 r255078 = x;
        double r255079 = y;
        double r255080 = r255078 * r255079;
        double r255081 = r255080 * r255079;
        double r255082 = exp(r255081);
        return r255082;
}
↓
double f(double x, double y) {
        double r255083 = x;
        double r255084 = y;
        double r255085 = r255083 * r255084;
        double r255086 = r255085 * r255084;
        double r255087 = exp(r255086);
        return r255087;
}

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 2020046 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))