書(shū)目名稱 | Models, Algorithms, and Technologies for Network Analysis | 副標(biāo)題 | Proceedings of the S | 編輯 | Boris I. Goldengorin,Valery A. Kalyagin,Panos M. P | 視頻video | http://file.papertrans.cn/637/636861/636861.mp4 | 概述 | Presents state-of-the-art techniques from researchers and practitioners from different fields.Presents new tools for developing practical algorithms for solving problems arising for different type of | 叢書(shū)名稱 | Springer Proceedings in Mathematics & Statistics | 圖書(shū)封面 |  | 描述 | .This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics. .This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in.??vehicle routing .??single machine scheduling .??modern financial markets.??cell formation in group technology.??brain activities of left- and right-handers.??speeding up algorithms for the maximum clique problem.??analysis and applications of different measures in clustering.The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from | 出版日期 | Conference proceedings 2013 | 關(guān)鍵詞 | combinatorial optimization; mixed integer programming; network analysis; network models; operations rese | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4614-8588-9 | isbn_softcover | 978-1-4939-5387-5 | isbn_ebook | 978-1-4614-8588-9Series ISSN 2194-1009 Series E-ISSN 2194-1017 | issn_series | 2194-1009 | copyright | Springer Science+Business Media New York 2013 |
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