Multi-agent optimization
β Nedic A
π Library
π
2018
π Springer
π English
β¦ LIBER β¦
π
Multi-agent Optimization: Cetraro, Italy 2014
β Scribed by Angelia NediΔ, Jong-Shi Pang, Gesualdo Scutari, Ying Sun, Francisco Facchinei, Jong-Shi Pang
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 317
- Series
- Lecture Notes in Mathematics 2224
- Edition
- 1st ed.
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter ....Pages i-vii
Distributed Optimization Over Networks (Angelia NediΔ)....Pages 1-84
Five Lectures on Differential Variational Inequalities (Jong-Shi Pang)....Pages 85-139
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization (Gesualdo Scutari, Ying Sun)....Pages 141-308
Back Matter ....Pages 309-310
β¦ Subjects
Mathematics; Operations Research, Management Science; Computational Science and Engineering; Systems Theory, Control
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