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Multi-agent Optimization : Cetraro, Italy 2014 / by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang.

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Lecture Notes In Mathematics Available online

Lecture Notes In Mathematics
Format:
Author/Creator:
Contributor:
Series:
Language:
English
Subjects (All):
Local Subjects:
Physical Description:
1 online resource (VII, 310 pages 28 illustrations, 22 illustrations in color).
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book contains three well-written research tutorials that will allow the reader to easily get to the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.
Other Format:
Printed edition:
ISBN:
9783319971421
Access Restriction:
Restricted for use by site license.

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