I thought that, when proving that a problem P is NP-Complete, we were supposed to reduce a known NPC problem to P. But, looking at the solution to the Independent Set problem, it seems to not go this
I am to show that log(n!) = Θ(n·log(n)). A hint was given that I should show the upper bound with n开发者_高级运维n and show the lower bound with (n/2)(n/2).This does not seem all that intuitive to
There is nothing about it in wikipedia. Anyone knows that? I only want to know the average Big-O Complex开发者_JAVA技巧ity of that algorithm.
I am having some trouble determining space and time comp开发者_如何学运维lexities. For example, if I have a tree that has a branching factor b and will have at most a depth d, how can I calculate the
This question is unlikely to help any future visitors; it is only relevant to a small geographic area, a specific moment in time,or an extraordinarily narrow situ开发者_开发百科ation that is not g
According to the definition of big O f(n) <= C*g(n)(which means f(n) = O(g(n)), it could be deduced that:
I am writing a simple Python program. My program seems to suffer from linear access to dictionaries, its run-time grows exponentially even though the algorithm is quadratic.
Why is the time complexity of node deletion in doubly linked l开发者_运维百科ists (O(1)) faster than node deletion in singly linked lists (O(n))?The problem assumes that the node to be deleted is know
I have found some mentions in another question of matrix addition being a quadratic operation. But I think it is linear.
I am trying to implement a plane sweep algorithm and for this I need to know the time complexity of java.util.HashMap class\' keySet() method. 开发者_如何学GoI suspect that it is O(n log n). Am I corr
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