New low storage VM-algorithm for constrained optimization

In this paper a new low-storage VM-algorithm for constrained optimization is investigated both theoretically and experimentally. The new algorithm is based on both the well-known Fletcher's low storage algorithm which generates columns Z spanned on the gradient vectors g1, g2, ... gn  and the i...

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Main Authors: Abbas Al-Bayati, Hamsa Chilmerane
Format: Article
Language:English
Published: Mosul University 2009-09-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163817_6a13c0a173b9ebcf371f9ca07b814280.pdf
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author Abbas Al-Bayati
Hamsa Chilmerane
author_facet Abbas Al-Bayati
Hamsa Chilmerane
author_sort Abbas Al-Bayati
collection DOAJ
description In this paper a new low-storage VM-algorithm for constrained optimization is investigated both theoretically and experimentally. The new algorithm is based on both the well-known Fletcher's low storage algorithm which generates columns Z spanned on the gradient vectors g1, g2, ... gn  and the idea of both Buckley and LeNir of combined variable storage-conjugate gradient method. The well-known SUMT algorithm is adapted to implement the new idea. The new algorithm is very robust compared with the standard low-storage Fletcher algorithm and the standard SUMT algorithm which was designed for solving constrained problems, of the <em> </em>  numerical results of application very promising.
format Article
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institution Kabale University
issn 1815-4816
2311-7990
language English
publishDate 2009-09-01
publisher Mosul University
record_format Article
series Al-Rafidain Journal of Computer Sciences and Mathematics
spelling doaj-art-aff3d20ebd3947fb8717655247d82c562025-08-20T03:49:12ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902009-09-0163111910.33899/csmj.2009.163817163817New low storage VM-algorithm for constrained optimizationAbbas Al-Bayati0Hamsa Chilmerane1College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqDepartment of Mathematics, College of Computers Sciences and Mathematics University of Mosul, IRAQIn this paper a new low-storage VM-algorithm for constrained optimization is investigated both theoretically and experimentally. The new algorithm is based on both the well-known Fletcher's low storage algorithm which generates columns Z spanned on the gradient vectors g1, g2, ... gn  and the idea of both Buckley and LeNir of combined variable storage-conjugate gradient method. The well-known SUMT algorithm is adapted to implement the new idea. The new algorithm is very robust compared with the standard low-storage Fletcher algorithm and the standard SUMT algorithm which was designed for solving constrained problems, of the <em> </em>  numerical results of application very promising.https://csmj.mosuljournals.com/article_163817_6a13c0a173b9ebcf371f9ca07b814280.pdfconstrainedlow storagesumt
spellingShingle Abbas Al-Bayati
Hamsa Chilmerane
New low storage VM-algorithm for constrained optimization
Al-Rafidain Journal of Computer Sciences and Mathematics
constrained
low storage
sumt
title New low storage VM-algorithm for constrained optimization
title_full New low storage VM-algorithm for constrained optimization
title_fullStr New low storage VM-algorithm for constrained optimization
title_full_unstemmed New low storage VM-algorithm for constrained optimization
title_short New low storage VM-algorithm for constrained optimization
title_sort new low storage vm algorithm for constrained optimization
topic constrained
low storage
sumt
url https://csmj.mosuljournals.com/article_163817_6a13c0a173b9ebcf371f9ca07b814280.pdf
work_keys_str_mv AT abbasalbayati newlowstoragevmalgorithmforconstrainedoptimization
AT hamsachilmerane newlowstoragevmalgorithmforconstrainedoptimization