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.
