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＜電子ブック＞
Models, Algorithms and Technologies for Network Analysis : From the Third International Conference on Network Analysis / edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 104)

版	1st ed. 2014.
出版者	Cham : Springer International Publishing : Imprint: Springer
出版年	2014
本文言語	英語
大きさ	X, 139 p. 41 illus., 23 illus. in color : online resource
著者標目	Batsyn, Mikhail V editor Kalyagin, Valery A editor Pardalos, Panos M editor SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Graph theory LCSH:Mathematical analysis LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Computer software LCSH:Mathematical models FREE:Optimization FREE:Graph Theory FREE:Analysis FREE:Computational Mathematics and Numerical Analysis FREE:Mathematical Software FREE:Mathematical Modeling and Industrial Mathematics
一般注記	A method of static and dynamic pattern analysis of innovative development of Russian regions in the long run -- Using mathematical programming to refine heuristic solutions for network clustering -- Market graph construction using the performance measure of similarity -- How independent are stocks in an independent set of a market graph -- Analysis of Russian industries in the stock market -- A particle swarm optimization algorithm for the multicast routing problem -- König graphs for 4-paths -- A hybrid metaheuristic for routing on multicast networks -- Possible ways of applying citations network analysis to a scientific writing assistant -- Bounding fronts in multi-objective combinatorial optimization with application to aesthetic drawing of business process diagrams This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications.  Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems HTTP:URL=https://doi.org/10.1007/978-3-319-09758-9

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