algorithm - Big O, Theta, and big Omega notation -

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based on understanding, big o similar theta notation can include bigger given function (e.g. n^3 = o(n^4), n^3 = o(n^5), etc.), , big omega includes smaller given function (n^3 = Ω(n^2), etc.).

however, professor said other day n^0.79 = Ω(n^0.8), while doing exercise involved master theorem.

why/how true when n^0.8 larger n^0.79?

you have big o , big omega backwards. big o "same" or smaller function.


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