Constant factors are ignored, since runtime and memory consumption (two properties that are most often measured using O-notation) are much more difficult to reason when considering constant factors.
If we define U( f(n) )as the totality of all functions gfor which there Nis such that for all N > n: g(n) <= f(n)(i.e., the same as Owithout a constant factor), it is much more difficult to show that the running time of the algorithm is in U( f(n) )than O( f(n) ).
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: ( ). , , 64- , 32- . , : " C- O(23 * n) 32- Intel. O(42 * n) 64- " .
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