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Type: BOOK - Published: 2020-11-25 - Publisher: Springer Nature

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This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts
Convex Optimization with Computational Errors
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The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on t
On the Projected Subgradient Method for Nonsmooth Convex Optimization in a Hilbert Space
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Optimization on Solution Sets of Common Fixed Point Problems
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This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common
Convex Optimization
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This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. It begins with the fundamental theory of black-b