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.