Angelia Nedić Jong-Shi Pang Gesualdo Scutari Ying Sun Nedić Multi-agent Optimization

Multi-agent Optimization

von Angelia Nedić Jong-Shi Pang Gesualdo Scutari Ying Sun

Cetraro, Italy 2014

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Beschreibung

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.
This book contains three well-written research tutorials that inform the graduate reader about 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.
Brilliantly written tutorial on topics not covered elsewhere Introduces the reader to optimization over networks which is an emergent topic of contemporary importance with promising applications Introduces the reader to complex modeling interdisciplinary paradigms as Differential Variational Inequalities that are necessary to model complex time-varying, paradigm shifting engineering situations

Autor*in

Angelia Nedić

Themen in »Multi-agent Optimization«

Differential Variational Inequalties Distributed Optimization Multi-agent Optimization Network Optimization Parallel Optimization

Stimmen zu »Multi-agent Optimization«

Details

ISBN: 9783319971414
Verlag: Springer International Publishing
Erscheinung: 02.11.2018

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