Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities

The efficiency of the implicit method proposed by He (1999) depends on the parameter β heavily; while it varies for individual problem, that is, different problem has different “suitable” parameter, which is difficult to find. In this paper, we present a modified imp...

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Main Authors: Zhili Ge, Deren Han
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:Journal of Inequalities and Applications
Online Access:http://dx.doi.org/10.1155/2009/458134
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spelling doaj-f224482199894387a08aa9854b497a9d2020-11-25T01:01:15ZengSpringerOpenJournal of Inequalities and Applications1025-58341029-242X2009-01-01200910.1155/2009/458134Self-Adaptive Implicit Methods for Monotone Variant Variational InequalitiesZhili GeDeren HanThe efficiency of the implicit method proposed by He (1999) depends on the parameter β heavily; while it varies for individual problem, that is, different problem has different “suitable” parameter, which is difficult to find. In this paper, we present a modified implicit method, which adjusts the parameter β automatically per iteration, based on the message from former iterates. To improve the performance of the algorithm, an inexact version is proposed, where the subproblem is just solved approximately. Under mild conditions as those for variational inequalities, we prove the global convergence of both exact and inexact versions of the new method. We also present several preliminary numerical results, which demonstrate that the self-adaptive implicit method, especially the inexact version, is efficient and robust. http://dx.doi.org/10.1155/2009/458134
collection DOAJ
language English
format Article
sources DOAJ
author Zhili Ge
Deren Han
spellingShingle Zhili Ge
Deren Han
Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
Journal of Inequalities and Applications
author_facet Zhili Ge
Deren Han
author_sort Zhili Ge
title Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
title_short Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
title_full Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
title_fullStr Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
title_full_unstemmed Self-Adaptive Implicit Methods for Monotone Variant Variational Inequalities
title_sort self-adaptive implicit methods for monotone variant variational inequalities
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1025-5834
1029-242X
publishDate 2009-01-01
description The efficiency of the implicit method proposed by He (1999) depends on the parameter β heavily; while it varies for individual problem, that is, different problem has different “suitable” parameter, which is difficult to find. In this paper, we present a modified implicit method, which adjusts the parameter β automatically per iteration, based on the message from former iterates. To improve the performance of the algorithm, an inexact version is proposed, where the subproblem is just solved approximately. Under mild conditions as those for variational inequalities, we prove the global convergence of both exact and inexact versions of the new method. We also present several preliminary numerical results, which demonstrate that the self-adaptive implicit method, especially the inexact version, is efficient and robust.
url http://dx.doi.org/10.1155/2009/458134
work_keys_str_mv AT zhilige selfadaptiveimplicitmethodsformonotonevariantvariationalinequalities
AT derenhan selfadaptiveimplicitmethodsformonotonevariantvariationalinequalities
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