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The GA is a particularly advantageous algorithm for their simplicity and robustness.
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With respect to the memory access, the 2D implementation is even somewhat advantageous, as the algorithm runs only once through the data and not twice, separately in horizontal and vertical directions.
The regular structures of the algorithms are advantageous when mapping them onto hardware although such algorithms do not reach the theoretical lower bound on multiplicative complexity.
A fast algorithm is advantageous considering the chosen philosophy.
Thus, the FAHP results to being more advantageous than the Dijkstra algorithm.
Therefore, if R ≥ 3, the greedy algorithm becomes advantageous over the full search in terms of computational complexity.
Fortunately, our proposed algorithm is advantageous of local, regular, and repeated operations, which makes its implementation on GPU easier.
The algorithm is advantageous in comparison with other pose estimation algorithms including those based on classical filter approaches because of the small computation time.
The experimental results show that the proposed algorithm is advantageous in alleviating user fatigue and looking for user's satisfactory individuals.
The FN-DBSCAN algorithm is advantageous in such a way that it aggregates the speed of the well-known Density Based Spatial Clustering of Applications with Noise (DBSCAN) and the robustness of the Noise-Robust Fuzzy Joint Points (NRFJP) algorithms.
First of all, the Goertzel algorithm is advantageous in situations when only values of a few spectral components are required (as in the DTMF example in Section 1.1), not the whole spectrum.
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CEO of Professional Science Editing for Scientists @ prosciediting.com