It's not a wrong answer, anymore than writing down ⅓ as 0.333, multiplying that by 3, and discovering that the result is 0.999 and not 1. And there's nothing i

It's not a wrong answer, anymore than writing down ⅓ as 0.333, multiplying that by 3, and discovering that the result is 0.999 and not 1. And there's nothing in vectorization that requires floating-point numbers; it's just that the algorithms that tend to demand the most out of a computer tend to be large numerical algorithms, which use floating-point.