Network Games, Control, and Optimization

Samson Lasaulce

ISBN 10: 3319510339 / ISBN 13: 9783319510330

Editore: Springer International Publishing, Springer International Publishing Feb 2017, 2017

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Neuware -This contributed volume offers a collection of papers presented at the 2016 Network Games, Control, and Optimization conference (NETGCOOP), held at the University of Avignon in France, November 23-25, 2016. These papers highlight the increasing importance of network control and optimization in many networking application domains, such as mobile and fixed access networks, computer networks, social networks, transportation networks, and, more recently, electricity grids and biological networks. Covering a wide variety of both theoretical and applied topics in the areas listed above, the authors explore several conceptual and algorithmic tools that are needed for efficient and robust control operation, performance optimization, and better understanding the relationships between entities that may be acting cooperatively or selfishly in uncertain and possibly adversarial environments. As such, this volume will be of interest to applied mathematicians, computer scientists,engineers, and researchers in other related fields.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 248 pp. Englisch.

Codice articolo 9783319510330

Dati bibliografici

• Titolo: Network Games, Control, and Optimization
• Editore: Springer International Publishing, Springer International Publishing Feb 2017
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319510339
• ISBN 13: 9783319510330
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

This contributed volume offers a collection of papers presented at the 2016 Network Games, Control, and Optimization conference (NETGCOOP), held at the University of Avignon in France, November 23-25, 2016.  These papers highlight the increasing importance of network control and optimization in many networking application domains, such as mobile and fixed access networks, computer networks, social networks, transportation networks, and, more recently, electricity grids and biological networks.  Covering a wide variety of both theoretical and applied topics in the areas listed above, the authors explore several conceptual and algorithmic tools that are needed for efficient and robust control operation, performance optimization, and better understanding the relationships between entities that may be acting cooperatively or selfishly in uncertain and possibly adversarial environments.  As such, this volume will be of interest to applied mathematicians, computer scientists, engineers, and researchers in other related fields.