I\'m just not sure... If you have a code that can be executed in either of the following complexities:
Question 1: Under what circumstances would O(f(n)) = O(k f(n)) be the most appropriate form of time-complexity analysis?
Wikipedia says: Selection algorithms开发者_运维百科: Finding the min, max, both the min and max, median, or
The two programs below get n integers from file and calculates the sum of ath to bth integers q(number of question) times. I think the upper program has worse time complexity than the lower, but I\'m
Fro开发者_Go百科m Wikipedia: The complexity of the algorithm is O(n(logn)(loglogn)) bit operations.
Is it possible to solve a problem of O(n!) complexity within a reasonable time given infinite number of process开发者_StackOverflowing units and infinite space?
MSDN states the following SortedSet(T).Add Method : If Countis less than the capacity of the internal array, this method is an O(1) operation.
This question already has answers here: Closed 12 years ago. Possible Duplicate: Properties vs Methods For many situations it is obvious whether something should be a property or a metho
What is the Big-O complexity for widespread algorithms of the basic arithmetic operations like multiplication, square root, logarithm, scalar and matrix product?
Here\'s a breakdown on the union/find algorithm for disjoint set forests on wikipedia: Barebone disjoint-set forests... (O(n))
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