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time complexity

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time complexity

(complexity)
The way in which the number of steps required by an algorithm varies with the size of the problem it is solving. Time complexity is normally expressed as an order of magnitude, e.g. O(N^2) means that if the size of the problem (N) doubles then the algorithm will take four times as many steps to complete.

See also computational complexity, space complexity.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
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References in periodicals archive
Data expansion and computation time complexity comparison with Paillier cryptosystem are analyzed in Section 5.
As a solution, they use an algorithm with similar time complexity as the one we propose in the next section, 0(logaN).
(2) It uses bucket sort to speed up the BWT encoding and decoding with time complexity O(N), so that the BWT block size can rise to 2 GB or more to fit the big data compression.
The proposed system has different advantages like complexity is less for a large amount of data, less time complexity and has high accuracy rate of classification.
Finding an efficient flight path at the cost of time complexity of this algorithm is always the most concerned issue of researchers.
However, the time complexity will be increased exponentially with the increase of the thresholds, which limits its application in real time and cannot be tolerated.
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