In a series of work initiated by Nemirovsky and Yudin, and later extended by Nesterov, first-order algorithms for unconstrained minimization with optimal theore
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
First-order methods for convex and nonconvex optimization have been an important research topic in the past few years. This talk studies and develops efficient
This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. It begins with the fundamental theory of black-b
Optimization models and algorithms have long played central and indispensable roles in the advancement of science and engineering. In recent years, first-order