By Valery A. Kalyagin,Alexey I. Nikolaev,Panos M. Pardalos,Oleg A. Prokopyev
This helpful resource for graduate scholars and researchers presents a complete creation to present theories and purposes in optimization tools and community versions. Contributions to this e-book are all in favour of new effective algorithms and rigorous mathematical theories, which might be used to optimize and learn mathematical graph constructions with substantial measurement and excessive density prompted by way of usual or man made advanced networks. functions to social networks, energy transmission grids, telecommunication networks, inventory marketplace networks, and human mind networks are presented.
Chapters during this publication disguise the subsequent topics:
- Linear max min fairness
- Heuristic techniques for fine quality solutions
- Efficient methods for advanced multi-criteria optimization problems
- Comparison of heuristic algorithms
- New heuristic iterative neighborhood search
- Power in community structures
- Clustering nodes in random graphs
- Power transmission grid structure
- Network decomposition problems
- Homogeneity speculation testing
- Network research of foreign migration
- Social networks with node attributes
- Testing speculation on measure distribution available in the market graphs
- Machine studying functions to human mind community studies
This continuing is as a result of the The sixth foreign convention on community research held on the greater institution of Economics, Nizhny Novgorod in could 2016. The convention introduced jointly scientists and engineers from undefined, executive, and academia to debate the hyperlinks among community research and numerous fields.
Read Online or Download Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016 (Springer Proceedings in Mathematics & Statistics) PDF
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Additional info for Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016 (Springer Proceedings in Mathematics & Statistics)
Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016 (Springer Proceedings in Mathematics & Statistics) by Valery A. Kalyagin,Alexey I. Nikolaev,Panos M. Pardalos,Oleg A. Prokopyev