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Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016 - 197

Kalyagin, Valery A.(Edited by)Nikolaev, Alexey I.(Edited by)Pardalos, Panos M.(Edited by)Prokopyev, Oleg A.(Edited by)
Part of the Springer Proceedings in Mathematics & Statistics series
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This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimisation methods and network models.

Contributions are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimise and analyse mathematical graph structures with massive size and high density induced by natural or artificial complex networks.

Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.

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£89.50
Product Details
3319568299 / 9783319568294
eBook (Adobe Pdf, EPUB)
003.72
23/06/2017
English
276 pages
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