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

A unified analysis of first-order optimization methods, including parallel-distributed algorithms, using monotone operators.

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 provides a comprehensive and accessible presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analys

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