- 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
- 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
- How to Plot Fourier Transform of cos (2x) correctly with Numpy and . . .
I watch a video about Fourier Transform and in the Fourier Transform plot of the funciton cos(2x) the hike should be at ω=-2 and ω=2, but why mine is different: this is the code: import numpy as np
- 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
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