Skip to main content
SpringerLink
Log in
Book cover
  • Book
  • © 2018

Multi-agent Optimization

Cetraro, Italy 2014

Authors:

Editors:

  1. Angelia Nedić

    1. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jong-Shi Pang

    1. The Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Gesualdo Scutari

    1. School of Industrial Engineering, Purdue University, West Lafayette, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  4. Ying Sun

    1. School of Industrial Engineering, Purdue University, West Lafayette, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  1. Francisco Facchinei

    1. DIAG, Università di Roma La Sapienza, Rome, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jong-Shi Pang

    1. The Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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

Part of the book series: Lecture Notes in Mathematics (LNM, volume 2224)

Part of the book sub series: C.I.M.E. Foundation Subseries (LNMCIME)

Sections

Buy it now

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (3 chapters)

  1. Front Matter

    Pages i-vii
    PDF

  2. Distributed Optimization Over Networks

    • Angelia Nedić
    Pages 1-84

  5. Back Matter

    Pages 309-310
    PDF
Back to top

About this book

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.
Back to top

Keywords

Back to top

Authors, Editors and Affiliations

  • DIAG, Università di Roma La Sapienza, Rome, Italy

    Francisco Facchinei

  • The Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA

    Jong-Shi Pang, Jong-Shi Pang

  • School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, USA

    Angelia Nedić

  • School of Industrial Engineering, Purdue University, West Lafayette, USA

    Gesualdo Scutari, Ying Sun

Back to top

Bibliographic Information

Back to top

Publish with us

Policies and ethics

Back to top
Access via your institution

Buy it now

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Search

Navigation