2 options
Multi-agent Optimization : Cetraro, Italy 2014 / by Angelia Nedić, Jong-Shi Pang, Gesualdo Scutari, Ying Sun ; edited by Francisco Facchinei, Jong-Shi Pang.
- Format:
- Book
- Author/Creator:
- Nedić, Angelia, author.
- Pang, Jong-Shi, author.
- Scutari, Gesualdo, author.
- Sun, Ying, 1989- author.
- Series:
- Lecture notes in mathematics (Springer-Verlag). CIME Foundation subseries ; 2224.
- C.I.M.E. Foundation Subseries ; 2224
- Language:
- English
- Subjects (All):
- Computer science.
- System theory.
- Operations Research, Management Science.
- Computational Science and Engineering.
- Systems Theory, Control.
- Local Subjects:
- Operations Research, Management Science.
- Computational Science and Engineering.
- Systems Theory, Control.
- Physical Description:
- 1 online resource (VII, 310 pages 28 illustrations, 22 illustrations in color).
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 9783319971421
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.