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Multi-agent Optimization : Cetraro, Italy 2014 / by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang
(C.I.M.E. Foundation Subseries. ISSN:29461820 ; 2224)
版 | 1st ed. 2018. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2018 |
本文言語 | 英語 |
大きさ | VII, 310 p. 28 illus., 22 illus. in color : online resource |
著者標目 | *Nedić, Angelia author Pang, Jong-Shi author Scutari, Gesualdo author Sun, Ying author Facchinei, Francisco editor Pang, Jong-Shi editor SpringerLink (Online service) |
件 名 | LCSH:Operations research LCSH:Management science LCSH:Mathematics -- Data processing 全ての件名で検索 LCSH:System theory LCSH:Control theory FREE:Operations Research, Management Science FREE:Computational Science and Engineering FREE:Systems Theory, Control |
一般注記 | This book contains three well-written research tutorials that will allow the reader to easily get to the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers HTTP:URL=https://doi.org/10.1007/978-3-319-97142-1 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319971421 |
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電子リソース |
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EB00236174 |
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データ種別 | 電子ブック |
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分 類 | LCC:T57.6-57.97 LCC:T55.4-60.8 DC23:003 |
書誌ID | 4000120949 |
ISBN | 9783319971421 |
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※2017年9月4日以降