Floating point operations resulting in a number that is essentially zero?

That depends very much on what you intend to do down the road. :-) However, getting results that are very close to, but not exactly equal, to what the "mathematical" result should be, is something one must live with when using floating point numbers. A common solution is to define some "epsilon" value (say 1e-10 ) and accept an error of epsilon in all comparisons - so x == y would become fabs(x - y).

They will only "cause problems" if you (a) are doing a numerically unstable calculation (you probably aren't) or (b) will later attempt to compare them using strict equality. In general, you shouldn't "do something" about it, you should just make sure that your algorithm is not overly sensitive to a small amount of imprecision.

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