Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems

The aim of this paper is to extend the applicability of an algorithm for solving inconsistent linear systems to the rank-deficient case, by employing incomplete projections onto the set of solutions of the augmented system Ax-r = b. The extended algorithm converges to the unique minimal norm solutio...

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Autores principales: Scolnik, H.D., Echebest, N.E., Guardarucci, M.T.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15475816_v5_n2_p175_Scolnik
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spelling todo:paper_15475816_v5_n2_p175_Scolnik2023-10-03T16:23:10Z Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems Scolnik, H.D. Echebest, N.E. Guardarucci, M.T. Incomplete oblique projections Minimal norm solution Rank-deficient least-squares problems The aim of this paper is to extend the applicability of an algorithm for solving inconsistent linear systems to the rank-deficient case, by employing incomplete projections onto the set of solutions of the augmented system Ax-r = b. The extended algorithm converges to the unique minimal norm solution of the least squares solutions. For that purpose, incomplete oblique projections are used, defined by means of matrices that penalize the norm of the residuals. The theoretical properties of the new algorithm are analyzed, and numerical experiences are presented comparing its performance with some well-known projection methods. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15475816_v5_n2_p175_Scolnik
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Incomplete oblique projections
Minimal norm solution
Rank-deficient least-squares problems
spellingShingle Incomplete oblique projections
Minimal norm solution
Rank-deficient least-squares problems
Scolnik, H.D.
Echebest, N.E.
Guardarucci, M.T.
Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
topic_facet Incomplete oblique projections
Minimal norm solution
Rank-deficient least-squares problems
description The aim of this paper is to extend the applicability of an algorithm for solving inconsistent linear systems to the rank-deficient case, by employing incomplete projections onto the set of solutions of the augmented system Ax-r = b. The extended algorithm converges to the unique minimal norm solution of the least squares solutions. For that purpose, incomplete oblique projections are used, defined by means of matrices that penalize the norm of the residuals. The theoretical properties of the new algorithm are analyzed, and numerical experiences are presented comparing its performance with some well-known projection methods.
format JOUR
author Scolnik, H.D.
Echebest, N.E.
Guardarucci, M.T.
author_facet Scolnik, H.D.
Echebest, N.E.
Guardarucci, M.T.
author_sort Scolnik, H.D.
title Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
title_short Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
title_full Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
title_fullStr Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
title_full_unstemmed Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
title_sort extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
url http://hdl.handle.net/20.500.12110/paper_15475816_v5_n2_p175_Scolnik
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AT echebestne extensionsofincompleteobliqueprojectionsmethodforsolvingrankdeficientleastsquaresproblems
AT guardaruccimt extensionsofincompleteobliqueprojectionsmethodforsolvingrankdeficientleastsquaresproblems
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