Editors:
- Presents state-of-the-art techniques from researchers and practitioners from different fields
- Covers topics from theoretical, algorithmic, and practical viewpoints, providing readers with theories and techniques from different perspectives
- Provides ideas and methodologies to detect network optimization problems, facilitating the retrieval of optimal solutions for difficult problems?
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 32)
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Table of contents (12 papers)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Higher School of Economics, Dept. of Applied Math. & Informatics, National Research University, Nizhny Novgorod, Russia
Boris Goldengorin
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Higher School of Economics, Department of Applied Mathematics, National Research University, Novgorod, Russia
Valery A. Kalyagin
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, Department of Industrial and Systems Eng, University of Florida, Gainesville, USA
Panos M. Pardalos
Bibliographic Information
Book Title: Models, Algorithms, and Technologies for Network Analysis
Book Subtitle: Proceedings of the First International Conference on Network Analysis
Editors: Boris Goldengorin, Valery A. Kalyagin, Panos M. Pardalos
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-1-4614-5574-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5573-8
Softcover ISBN: 978-1-4939-0174-6
eBook ISBN: 978-1-4614-5574-5
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XIV, 234
Topics: Optimization, Combinatorics, Operations Research, Management Science