Average Error: 0.0 → 0.0
Time: 9.3s
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 r13104178 = x;
        double r13104179 = y;
        double r13104180 = r13104178 * r13104179;
        double r13104181 = r13104180 * r13104179;
        double r13104182 = exp(r13104181);
        return r13104182;
}
↓
double f(double x, double y) {
        double r13104183 = x;
        double r13104184 = y;
        double r13104185 = r13104183 * r13104184;
        double r13104186 = r13104185 * r13104184;
        double r13104187 = exp(r13104186);
        return r13104187;
}

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 2019172 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))