1.

Record Nr.

UNINA9910300125903321

Autore

Nedić Angelia

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-97142-5

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (VII, 310 p. 28 illus., 22 illus. in color.)

Collana

C.I.M.E. Foundation Subseries ; ; 2224

Disciplina

519.3

Soggetti

Operations research

Management science

Computer mathematics

System theory

Operations Research, Management Science

Computational Science and Engineering

Systems Theory, Control

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Sommario/riassunto

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.