Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities

Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities

<p/> <p>We study the strong convergence of a hybrid steepest descent method with variable parameters for the general variational inequality (GVI) <inline-formula><graphic file="1029-242X-2007-019270-i1.gif"/></inline-formula>. Consequently, as an application,...

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Main Authors: Yu Yanrong, Chen Rudong
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:Journal of Inequalities and Applications
Online Access:http://www.journalofinequalitiesandapplications.com/content/2007/019270
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spelling doaj-f2b582cb737441b6889e6e5d678007392020-11-24T20:43:38ZengSpringerOpenJournal of Inequalities and Applications1025-58341029-242X2007-01-0120071019270Hybrid Steepest Descent Method with Variable Parameters for General Variational InequalitiesYu YanrongChen Rudong<p/> <p>We study the strong convergence of a hybrid steepest descent method with variable parameters for the general variational inequality (GVI) <inline-formula><graphic file="1029-242X-2007-019270-i1.gif"/></inline-formula>. Consequently, as an application, we obtain some results concerning the constrained generalized pseudoinverse. Our results extend and improve the result of Yao and Noor (2007) and many others.</p>http://www.journalofinequalitiesandapplications.com/content/2007/019270
collection DOAJ
language English
format Article
sources DOAJ
author Yu Yanrong
Chen Rudong
spellingShingle Yu Yanrong
Chen Rudong
Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
Journal of Inequalities and Applications
author_facet Yu Yanrong
Chen Rudong
author_sort Yu Yanrong
title Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
title_short Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
title_full Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
title_fullStr Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
title_full_unstemmed Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
title_sort hybrid steepest descent method with variable parameters for general variational inequalities
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1025-5834
1029-242X
publishDate 2007-01-01
description <p/> <p>We study the strong convergence of a hybrid steepest descent method with variable parameters for the general variational inequality (GVI) <inline-formula><graphic file="1029-242X-2007-019270-i1.gif"/></inline-formula>. Consequently, as an application, we obtain some results concerning the constrained generalized pseudoinverse. Our results extend and improve the result of Yao and Noor (2007) and many others.</p>
url http://www.journalofinequalitiesandapplications.com/content/2007/019270
work_keys_str_mv AT yuyanrong hybridsteepestdescentmethodwithvariableparametersforgeneralvariationalinequalities
AT chenrudong hybridsteepestdescentmethodwithvariableparametersforgeneralvariationalinequalities
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