time complexity


Also found in: Wikipedia.

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.
References in periodicals archive ?
However, some of its limitations are, it fails to detect multiple pieces of baggage, misclassifies baggage when head and legs are absent or occluded and high time complexity.
Time complexity [21] of convolutional layers can be defined as:
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.
To sum up, this is one of the best algorithms implemented, it has a space complexity of O(n + n log(n) + n / 2) and a time complexity of O(n + n log(n)) for encoding and a space complexity of O(n) and a time complexity of O(n) for decoding.
3) From the perspective of running time, the proposed method is efficient, and its time complexity is approximately linear with the size of the original image for image-guided decomposition.
Based on these parameters, the processing time complexity of each algorithm is analysed as follows, without regard to the memory accessing time.
Objective: This project aims to establish the time complexity of algorithms for two classes of problems.
The first exact algorithm for the channel assignment problem with time complexity [O.
We have also shown in [5] that our proposed algorithm outperformed all the existing techniques in both time and frequency domains with regards to both exact number of arithmetic operations and to its worst case time complexity that grew linearly with the length of the input auto correlation sequence for the case when L greater than greater than K where K denote the size of an exponential window.
As we will show in the next section, the use of a big value of T reduces considerably the time complexity of AutDAG.
Stability-DG algorithm is the sum of the time complexity to construct the mobile graphs, the time complexity to run the spanning tree algorithm on these mobile graphs and the time complexity to transform these spanning trees to data gathering trees using BFS.
notation to describe the time complexity of algorithms.