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Exact(19)
By the same method, the algorithm chooses node 8 for branching (see Figure 8).
Then, in conjunction with the bracketing method, the algorithm is extended for problem P2.
Efficiency of the proposed method, the algorithm and associated software for precision magnet systems are discussed.
Compared to the exhaustive search method, the algorithm in[21] converges fast to the near optimal solution.
To illustrate the efficiency of the method, the algorithm for the simulation of pattern is adapted with the GPU.
From our method, the algorithm was able to detect three SA driving events at the following time points: 100, 6260, and 6553.
Similar(41)
Equipped with both methods, the algorithm attains the best solution.
Unlike previously suggested supervised subspace methods, the algorithm explicitly utilizes the classification performance criterion to obtain the optimal linear projection.
Compared to these methods, the algorithm proposed here is a good deal simpler, while producing excellent results.
Compared with other numerical methods, the algorithm of this method is simpler with higher accuracy, less dissipation, higher computation efficiency and less computer storage.
As illustrated in Methods, the algorithm is an inborn cross-validation for any query protein.
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