- What is the difference between O, Ω, and Θ? - Stack Overflow
I am learning algorithm analysis I am having trouble understanding the difference between O, Ω, and Θ The way they're defined is as follows: f(n) = O(g(n)) means c · g(n) is an upper boun
- What is the difference between lower bound and tight bound?
Θ-notation (theta notation) is called tight-bound because it's more precise than O-notation and Ω-notation (omega notation) If I were lazy, I could say that binary search on a sorted array is O (n 2), O (n 3), and O (2 n), and I would be technically correct in every case That's because O-notation only specifies an upper bound, and binary search is bounded on the high side by all of those
- Big Omega notation - what is f = Ω (g)? - Stack Overflow
I've been trying for the better part of an hour to find reference to the following: f = Ω(g) But I have had no luck at all I need to answer a question for an assignment and I can't find referenc
- What is the difference between Θ(n) and O(n)? - Stack Overflow
There's a simple way (a trick, I guess) to remember which notation means what All of the Big-O notations can be considered to have a bar When looking at a Ω, the bar is at the bottom, so it is an (asymptotic) lower bound When looking at a Θ, the bar is obviously in the middle So it is an (asymptotic) tight bound When handwriting O, you usually finish at the top, and draw a squiggle
- algorithm - Big-oh vs big-theta - Stack Overflow
Possible Duplicate: What is the difference between Θ(n) and O(n)? It seems to me like when people talk about algorithm complexity informally, they talk about big-oh But in formal situations, I oft
- sorting - comparison sort algorithms requires Ω (nlgn) comparisons in . . .
This was taken from the popular book called Intro to Algorithms The author states that any comparison sort algorithm requires Ω(nlgn) comparisons in the worst case Taking the bubble sort algorith
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