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In a series of work initiated by Nemirovsky and Yudin, and later extended by Nesterov, first-order algorithms for unconstrained minimization with optimal theore
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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
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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
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Optimization models and algorithms have long played central and indispensable roles in the advancement of science and engineering. In recent years, first-order