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

This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the la