This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problem

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.

This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. It begins with the fundamental theory of black-b

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay betw

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For prob