Network Games, Control, and Optimization: Proceedings of NETGCOOP 2018, New York, NY (Static & Dynamic Game Theory: Foundations & Applications): New (2019)

Beschreibung

Bestandsnummer des Verk�ufers I-9783030108793

Bibliografische Details

Titel: Network Games, Control, and Optimization: Proceedings of NETGCOOP 2018, New York, NY (Static & Dynamic Game Theory: Foundations & Applications)
Verlag: Birkh�user
Erscheinungsjahr: 2019
Sprache: Englisch
ISBN-10: 3030108791
ISBN-13: 9783030108793
Einband: Hardcover
Zustand: New

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Inhaltsangabe

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.

Von der hinteren Coverseite

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.

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