Decomposition methods aim to reduce large-scale problems to simpler problems. This monograph presents selected aspects of the dimension-reduction problem. Exact
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
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
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
This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the la