Network Games, Control, and Optimization
Tania Jimenez (Hrsg.), Quanyan Zhu (Hrsg.), Jean Walrand (Hrsg.), Yezekael Hayel (Hrsg.)
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Springer International Publishing
Sozialwissenschaften, Recht, Wirtschaft / Volkswirtschaft
Beschreibung
This contributed volume offers a collection of papers presented at the 2018 Network Games, Control, and Optimization conference (NETGCOOP), held at the New York University Tandon School of Engineering in New York City, November 14-16, 2018. 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.
Kundenbewertungen
Dynamic Game Theory, Optimal Control of Networks, Algorithmic Game Theory, Differential and Mean Field Games, Control Theory, Network Games