The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale

The primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale

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 book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from divers

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