Iterative algorithms with seminorm-induced oblique projections

A definition of oblique projections onto closed convex sets that use seminorms induced by diagonal matrices which may have zeros on the diagonal is introduced. Existence and uniqueness of such projections are secured via directional affinity of the sets with respect to the diagonal matrices involved...

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Main Authors: Yair Censor, Tommy Elfving
Format: Article
Language:English
Published: Wiley 2003-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/S108533750321201X
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author Yair Censor
Tommy Elfving
author_facet Yair Censor
Tommy Elfving
author_sort Yair Censor
collection DOAJ
description A definition of oblique projections onto closed convex sets that use seminorms induced by diagonal matrices which may have zeros on the diagonal is introduced. Existence and uniqueness of such projections are secured via directional affinity of the sets with respect to the diagonal matrices involved. A block-iterative algorithmic scheme for solving the convex feasibility problem, employing seminorm-induced oblique projections, is constructed and its convergence for the consistent case is established. The fully simultaneous algorithm converges also in the inconsistent case to the minimum of a certain proximity function.
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institution Kabale University
issn 1085-3375
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publishDate 2003-01-01
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series Abstract and Applied Analysis
spelling doaj-art-1b83870b38a84ddd8339fed08068f9112025-02-03T01:09:42ZengWileyAbstract and Applied Analysis1085-33751687-04092003-01-012003738740610.1155/S108533750321201XIterative algorithms with seminorm-induced oblique projectionsYair Censor0Tommy Elfving1Department of Mathematics, University of Haifa, Mt. Carmel, Haifa 31905, IsraelMathematics Department, Linköping University, Linköping SE-581 83, SwedenA definition of oblique projections onto closed convex sets that use seminorms induced by diagonal matrices which may have zeros on the diagonal is introduced. Existence and uniqueness of such projections are secured via directional affinity of the sets with respect to the diagonal matrices involved. A block-iterative algorithmic scheme for solving the convex feasibility problem, employing seminorm-induced oblique projections, is constructed and its convergence for the consistent case is established. The fully simultaneous algorithm converges also in the inconsistent case to the minimum of a certain proximity function.http://dx.doi.org/10.1155/S108533750321201X
spellingShingle Yair Censor
Tommy Elfving
Iterative algorithms with seminorm-induced oblique projections
Abstract and Applied Analysis
title Iterative algorithms with seminorm-induced oblique projections
title_full Iterative algorithms with seminorm-induced oblique projections
title_fullStr Iterative algorithms with seminorm-induced oblique projections
title_full_unstemmed Iterative algorithms with seminorm-induced oblique projections
title_short Iterative algorithms with seminorm-induced oblique projections
title_sort iterative algorithms with seminorm induced oblique projections
url http://dx.doi.org/10.1155/S108533750321201X
work_keys_str_mv AT yaircensor iterativealgorithmswithseminorminducedobliqueprojections
AT tommyelfving iterativealgorithmswithseminorminducedobliqueprojections