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It is shown both theoretically and experimentally that the extended algorithms outperform its traditional counterpart with respect to speed of convergence.
In this paper we present the details of our refined and extended algorithms.
The results of selected simulation experiments related to analysis of influence of a droop rate on the final performance of the intelligent cyclic A/D converters employing the standard (one-dimensional) and extended algorithms are discussed and compared in the paper.
In this work we focus on the most popular approach, Latent Dirichlet Model (LDA), to derive topics, but note that many extended algorithms could serve as drop-in replacements in our proposed approach.
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The extended Algorithm 4 was used in decoding.
The stimulus was decoded using the extended Algorithm 3.
This extended algorithm allows one to explore more fully the nature of the feasible particle displacements.
The reconstruction of stimuli was performed in MATLAB using the extended Algorithm 3, and the SDPs were solved using SDPT3 [35].
With the same time and space discretization of algorithm (17), we obtain its extended algorithm by alternating direction implicit (ADI) technique [38] for Eqs.
And AUC values for extended algorithm are 0.937, 0.868, and 0.871.
For calculating SN scores, "simple algorithm" considers only "Shared Nodes Count" but "extended algorithm" includes both "Shared Nodes Count" and "Shared Nodes Weight".
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CEO of Professional Science Editing for Scientists @ prosciediting.com