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While the terms allude to the rows and columns of a two-dimensional array, i.e. a matrix, the orders can be generalized to arrays of any dimension by noting that the terms row-major and column-major are equivalent to lexicographic and colexicographic orders, respectively. It is also worth noting that matrices, being commonly represented as ...
Distributed Single Shot Bloom filter for duplicate detection with false positive rate: 6 elements are distributed over 3 PEs, each with a bit array of length 4. During the first communication step PE 1 receives the hash '2' twice and sends it back to either PE 2 or 3, depending on who sent it later.
LIMMA provides a set of tools for background correction and scaling, as well as an option to average on-slide duplicate spots. [5] A common method for evaluating how well normalized an array is, is to plot an MA plot of the data. MA plots can be produced using programs and languages such as R and MATLAB. [6] [7]
Claim: If array A has length n, then permutations(n, A) will result in either A being unchanged, if n is odd, or, if n is even, then A is rotated to the right by 1 (last element shifted in front of other elements). Base: If array A has length 1, then permutations(1, A) will output A and stop, so A is unchanged. Since 1 is odd, this is what was ...
In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs.
That is, given a preinitialized array, it shuffles the elements of the array in place, rather than producing a shuffled copy of the array. This can be an advantage if the array to be shuffled is large. To simultaneously initialize and shuffle an array, a bit more efficiency can be attained by doing an "inside-out" version of the shuffle.
The scheme was published by Andrei Broder in a 1997 conference, [1] and initially used in the AltaVista search engine to detect duplicate web pages and eliminate them from search results. [2] It has also been applied in large-scale clustering problems, such as clustering documents by the similarity of their sets of words.
Thus a one-dimensional array is a list of data, a two-dimensional array is a rectangle of data, [12] a three-dimensional array a block of data, etc. This should not be confused with the dimension of the set of all matrices with a given domain, that is, the number of elements in the array.