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Multi-agent Optimization = Cetraro, ...
~
Sun, Ying.
Multi-agent Optimization = Cetraro, Italy 2014 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Multi-agent Optimization/ by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang.
其他題名:
Cetraro, Italy 2014 /
作者:
Nedić, Angelia.
其他作者:
Pang, Jong-Shi.
面頁冊數:
VII, 310 p. 28 illus., 22 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Operations research. -
電子資源:
https://doi.org/10.1007/978-3-319-97142-1
ISBN:
9783319971421
Multi-agent Optimization = Cetraro, Italy 2014 /
Nedić, Angelia.
Multi-agent Optimization
Cetraro, Italy 2014 /[electronic resource] :by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang. - 1st ed. 2018. - VII, 310 p. 28 illus., 22 illus. in color.online resource. - C.I.M.E. Foundation Subseries ;2224. - C.I.M.E. Foundation Subseries ;2141.
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.
ISBN: 9783319971421
Standard No.: 10.1007/978-3-319-97142-1doiSubjects--Topical Terms:
573517
Operations research.
LC Class. No.: QA402-402.37
Dewey Class. No.: 519.6
Multi-agent Optimization = Cetraro, Italy 2014 /
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