hey there could someone please help me determine the complexity?. An example given in my class was bubble sort
Let\'s say that you have a list of 10,000 email addresses, and you\'d like to find what some of the closest \"neighbors\" in this list are - defined as email addresses that are suspiciously close to o
I know that planarity testing can be done in O(v) (equivalently O(e), since planar graphs have O(v) edges) time.
When I 开发者_如何学Pythonanalyzed the complexity of the code segment below, I found that it is O(n/2). But while searching the internet I discovered that it is probably O(n). I\'d like to know who\'s
For binary search tree type of data structu开发者_高级运维res, I see the Big O notation is typically noted as O(logn).With a lowercase \'l\' in log, does this imply log base e (n)as described by the n
I\'m curious if O(n log n) is the best a linked list 开发者_运维问答can do.It is reasonable to expect that you cannot do any better than O(N log N) in running time.
H开发者_高级运维ow to calculate number of sequences over {0,1} such that each sequence contains at least half ones?The total number of sequences of length n is 2^n. If n is odd, exactly the half of th
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