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Iterative Algorithms for Nonexpansive Mappings [PDF]
Fixed Point Theory and Applications, 2008 We suggest and analyze two new iterative algorithms for a nonexpansive mapping in Banach spaces. We prove that the proposed iterative algorithms converge strongly to some fixed point of .
Yao Yonghong, Liou Yeong-Cheng
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Family Constraining of Iterative Algorithms [PDF]
Numerical Algorithms, 2013 In constraining iterative processes, the algorithmic operator of the iterative process is pre-multiplied by a constraining operator at each iterative step.
Censor, Yair +2 more
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IEEE Access, 2021 Solving non-linear equation is perhaps one of the most difficult problems in all of numerical computations, especially in a diverse range of engineering applications.
Amir Naseem +2 more
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Complex & Intelligent Systems, 2022 The paper performs the center-of-sets (COS) type-reduction (TR) and de-fuzzification for Takagi–Sugeno–Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the $$\alpha$$ α -planes expression of general type-2 fuzzy sets ...
Yang Chen
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Economic Dispatch with Transmission Losses in a Distributed Generation Network of Bahawalpur
Electrical, Control and Communication Engineering, 2021 In an electrical power system, the ultimate aim is to generate and deliver electrical energy to consumer side with minimum cost involved. Thus, least fuel cost, effective unit commitment and minimum transmission losses are desirous to achieve economic ...
Khan Ahmad +4 more
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IEEE Open Journal of Intelligent Transportation Systems, 2022 Understanding complicated city traffic patterns has been recognized as a critical goal by twenty-first-century urban planners and traffic management systems, resulting in a significant rise in the quantity and variety of traffic data gathered.
Zahra Ghandeharioun, Anastasios Kouvelas
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A general iterative clustering algorithm [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2022 AbstractThe quality of a cluster analysis of unlabeled units depends on the quality of the between units dissimilarity measures. Data‐dependent dissimilarity is more objective than data independent geometric measures such as Euclidean distance. As suggested by Breiman, many data driven approaches are based on decision tree ensembles, such as a random ...
Ziqiang Lin, Eugene Laska, Carole Siegel
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Analyzing Approximate Value Iteration Algorithms [PDF]
Mathematics of Operations Research, 2022 In this paper, we consider the stochastic iterative counterpart of the value iteration scheme wherein only noisy and possibly biased approximations of the Bellman operator are available. We call this counterpart the approximate value iteration (AVI) scheme.
Arunselvan Ramaswamy, Shalabh Bhatnagar
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Multicomponent iterative methods solving stationary problems of mathematical physics
Mathematical Modelling and Analysis, 2008 Additive iterative methods of complete approximation for stationary problems of mathematical physics are proposed. The convergence rate in the case of an arbitrary number of commutative and noncommutative partition operators is analysed.
Natali G. Abrashina-Zhadaeva +1 more
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Quantification of the performance of iterative and non-iterative computational methods of locating partial discharges using RF measurement techniques [PDF]
, 2017 Partial discharge (PD) is an electrical discharge phenomenon that occurs when the insulation materialof high voltage equipment is subjected to high electric field stress. Its occurrence can be an indication ofincipient failure within power equipment such
Alistair J. Reid +29 more
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