國立虎尾科技大學 |

Multi-agent Optimization = Cetraro, Italy 2014 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-agent Optimization/ by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang.
Reminder of title:	Cetraro, Italy 2014 /
Author:	Nedić, Angelia.
other author:	Pang, Jong-Shi.
Description:	VII, 310 p. 28 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Operations research. -
Online resource:	https://doi.org/10.1007/978-3-319-97142-1
ISBN:	9783319971421

Multi-agent Optimization = Cetraro, Italy 2014 /
Nedić, Angelia.

Multi-agent OptimizationCetraro, 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 /
LDR:02513nam a22004215i 4500 001 990501
003 DE-He213
005 20200702020243.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319971421 $9 978-3-319-97142-1
024 7 $a 10.1007/978-3-319-97142-1 $2 doi
035 $a 978-3-319-97142-1
050 4 $a QA402-402.37
050 4 $a T57.6-57.97
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJM $2 thema
082 0 4 $a 519.6 $2 23
100 1 $a Nedić, Angelia. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1282197
245 1 0 $a Multi-agent Optimization $h [electronic resource] : $b Cetraro, Italy 2014 / $c by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a VII, 310 p. 28 illus., 22 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a C.I.M.E. Foundation Subseries ; $v 2224
520 $a 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.
650 0 $a Operations research. $3 573517
650 0 $a Management science. $3 719678
650 0 $a Computer mathematics. $3 1199796
650 0 $a System theory. $3 566168
650 1 4 $a Operations Research, Management Science. $3 785065
650 2 4 $a Computational Science and Engineering. $3 670319
650 2 4 $a Systems Theory, Control. $3 669337
700 1 $a Pang, Jong-Shi. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 873488
700 1 $a Scutari, Gesualdo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1282198
700 1 $a Sun, Ying. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1282199
700 1 $a Facchinei, Francisco. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 883722
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319971414
776 0 8 $i Printed edition: $z 9783319971438
830 0 $a C.I.M.E. Foundation Subseries ; $v 2141 $3 1255126
856 4 0 $u https://doi.org/10.1007/978-3-319-97142-1
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
912 $a ZDB-2-LNM
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)