Small omega and Small o Notations
In this lesson, we discuss notations which imply loose bounds.
We'll cover the following...
The small o and small ω are complementary notations to the big O and big Ω notations. For algorithm analysis, the most important notation is the big O. For the sake of completeness, we mention the small o and small ω notations too.
Small o
The small o is not an asymptotically tight upper bound. The formal definition is similar to big O, with one important difference. A function f(n) belongs to the set o(g(n)), if the following condition is satisfied.
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