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Meanwhile, the large size of PPI network wants complex detection methods have low time complexity.
Nevertheless, in general, or 2 could satisfy these schemes with low time complexity, as indicated previously.
The classification method with high accuracy and low time complexity is becoming the focus of research.
The advantage of this method is relatively low time complexity [15, 16]. 2.
The low time complexity of the proposed method makes it suitable for real time applications.
NPE and its operators are designed to have high locality, feasibility, low time complexity, be unbiased, and have independent weight.
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In the two methods, LB_(_{Kim}), LB_(_{Keogh}), and reversed LB_(_{Keogh}) are arranged in the ascending tightness of the lower bounding property, such that front lower bounding functions with low time complexities rule out most unpromising subsequences.
This is the lowest time complexity of any known floating-point depression-filling algorithm.
From the figure, we can see that our proposed GG-SMVNM algorithm has the lowest time complexity, whereas the EVPF has the worst time efficiency.
One such solver is a greedy algorithm known as OMP [21 23], which is known for its high accuracy and low time-complexity.
The first sub-problem is solved by transferring the budget constraint of the application to that of each task, and the second sub-problem is solved by heuristically scheduling each task with low-time complexity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com