MyTable in SQL Server contains _TimeStamp, Column1, Column2, and Column3, which have the following values:
I have data which looks like this (this is test data for illustration): test <- matrix(c(1, 1, 1, 2, 2, 2 , 529, 528, 528, 495, 525, 510,557, 535, 313,502,474, 487 ), nr=6, dimnames=list(c(1,2,3,4
I\'m working on a quicksort-variant implementation based on the Select algorithm for开发者_JS百科 choosing a good pivot element. Conventional wisdom seems to be to divide the array into 5-element bloc
Can anyone explain how to improve the quicksort algorithm for finding the median of n odd numbers and what will be the worst case scenario 开发者_Python百科for that algorithm? Please help. http://en.w
How can we remove the median of a set with time complexity 开发者_如何学编程O(log n)? Some idea?If the set is sorted, finding the median requires O(1) item retrievals.If the items are in arbitrary seq
I have a process that generates values and that I observe. When the process terminates, I want to compute the median of those values.
In MSSQL2008, I am trying to compute the median of a column of numbers from a common table expression using the classic median que开发者_JS百科ry as follows:
I am trying to compile an Octave .oct function to calculate the medians of the upper and lower \"halves\" of a sorted vector which will vary in length e.g. for an odd length vector such as [5,8,4,6,7]
So I guess this isn\'t technically a code question, but it\'s something that I\'m sure will come up for other folks as well as myself while writing code, so hopefully it\'s still a good one to post on
For a map where the key represents a number of a sequence and the value the count how often this number appeared in the squence, how would an implementation of an algorithm in java look like to 开发者
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