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

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

Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods – including pa

This is a textbook about linear and integer linear optimization. There is a growing need in industries such as airline, trucking, and financial engineering to s