Decomposition methods aim to reduce large-scale problems to simpler problems. This monograph presents selected aspects of the dimension-reduction problem. Exact

This book presents tools and methods for large-scale and distributed optimization. Since many methods in "Big Data" fields rely on solving large-scale optimizat

In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become th

Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fin

In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. Th