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I've never seen this notation for complexity: Õ(n).
It comes up in the context of learning in stochastic algorithms.
Anyone know this notation? You can't exactly google this...
EDIT: SOLVED
I think people have pointed out the right answer below. In my case Õ() is used to hide an exponential growth of a tree.
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O(n) represents the complexity of a function that increases linearly and in direct proportion to the number of inputs. This is a good example of how Big O Notation describes the worst case scenario as the function could return the true after reading the first element or false after reading all n elements.
What does that mean? In short, That is, big O tilde notation ignores logarithmic factors. For example, the FFT computes the discrete Fourier transform of a sequence of length n in. O(n log n)
Big-O is an inclusive upper bound, while little-o is a strict upper bound. For example, the function f(n) = 3n is: in O(n²) , o(n²) , and O(n)
Tilde notation is used when we want to make a simple approximation of a complex function. It simply drops the lower order terms. It is denoted by ~g(n). 1.
It is shorthand for O(g(n) log^k g(n))
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