On the Projected Subgradient Method for Nonsmooth Convex Optimization in a Hilbert Space

On the Projected Subgradient Method for Nonsmooth Convex Optimization in a Hilbert Space
Author: Ya. I. Alber
Publisher:
Total Pages: 13
Release: 1996
Genre:
ISBN:

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On the Projected Subgradient Method for Nonsmooth Convex Optimization in a Hilbert Space
Language: en
Pages: 13
Authors: Ya. I. Alber
Categories:
Type: BOOK - Published: 1996 - Publisher:

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The Projected Subgradient Algorithm in Convex Optimization
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Pages: 148
Authors: Alexander J. Zaslavski
Categories: Mathematics
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
Language: en
Pages: 364
Authors: Alexander J. Zaslavski
Categories: Mathematics
Type: BOOK - Published: 2020-01-31 - Publisher: Springer Nature

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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
Optimization in Banach Spaces
Language: en
Pages: 132
Authors: Alexander J. Zaslavski
Categories: Mathematics
Type: BOOK - Published: 2022-09-29 - Publisher: Springer Nature

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The book is devoted to the study of constrained minimization problems on closed and convex sets in Banach spaces with a Frechet differentiable objective functio
Advances in Convex Analysis and Global Optimization
Language: en
Pages: 601
Authors: Nicolas Hadjisavvas
Categories: Mathematics
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

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There has been much recent progress in global optimization algo rithms for nonconvex continuous and discrete problems from both a theoretical and a practical pe