<complexity> The way in which the number of steps required by an
algorithm varies with the size of the problem it is solving. Time complexity is
normally expressed as an order of magnitude, e.g. O(N^2) means that if the size
of the problem (N) doubles then the algorithm will take four times as many steps
See also computational complexity, space complexity.
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