| 书目名称 | Computational Aspects and Applications in Large-Scale Networks | | 副标题 | NET 2017, Nizhny Nov | | 编辑 | Valery A. Kalyagin,Panos M. Pardalos,Irina Utkina | | 视频video | | | 概述 | Presents state-of-the-art techniques in modern network analysis for large-scale networks.Features new theoretical models, approaches, and tools for network analysis.Broadens understanding of computati | | 丛书名称 | Springer Proceedings in Mathematics & Statistics | | 图书封面 |  | | 描述 | .Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks..This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government. | | 出版日期 | Conference proceedings 2018 | | 关键词 | Computational Aspects and Applications of Large Scale Networks; Critical Links; Autoregressive Models; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-96247-4 | | isbn_softcover | 978-3-030-07163-9 | | isbn_ebook | 978-3-319-96247-4Series ISSN 2194-1009 Series E-ISSN 2194-1017 | | issn_series | 2194-1009 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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发表于 2025-3-21 17:55:02
