Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems

Abstract This paper is devoted to investigating a vector inverse mixed quasi-variational inequality (VIMQVI). Our aim is to obtain error bounds for VIMQVI in terms of different gap functions, i.e., the residual gap function, the regularized gap function, and the D-gap function. These bounds provide...

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Autores principales: Zhong-bao Wang, Zhang-you Chen, Zhe Chen
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2019
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Acceso en línea:https://doaj.org/article/db4cd50d32064e81afd946281648a1e2
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spelling oai:doaj.org-article:db4cd50d32064e81afd946281648a1e22021-12-02T10:47:21ZGap functions and error bounds for vector inverse mixed quasi-variational inequality problems10.1186/s13663-019-0664-51687-1812https://doaj.org/article/db4cd50d32064e81afd946281648a1e22019-09-01T00:00:00Zhttp://link.springer.com/article/10.1186/s13663-019-0664-5https://doaj.org/toc/1687-1812Abstract This paper is devoted to investigating a vector inverse mixed quasi-variational inequality (VIMQVI). Our aim is to obtain error bounds for VIMQVI in terms of different gap functions, i.e., the residual gap function, the regularized gap function, and the D-gap function. These bounds provide effective estimated distances between an arbitrary feasible point and the solution set of VIMQVI. The approach exploited in this paper is based on the generalized f-projection operator due to Wu and Huang. Our results cover and extend similar results for these problems.Zhong-bao WangZhang-you ChenZhe ChenSpringerOpenarticleVector inverse mixed quasi-variational inequalityGap functionError boundsGeneralized f-projection operatorApplied mathematics. Quantitative methodsT57-57.97AnalysisQA299.6-433ENFixed Point Theory and Applications, Vol 2019, Iss 1, Pp 1-14 (2019)
institution DOAJ
collection DOAJ
language EN
topic Vector inverse mixed quasi-variational inequality
Gap function
Error bounds
Generalized f-projection operator
Applied mathematics. Quantitative methods
T57-57.97
Analysis
QA299.6-433
spellingShingle Vector inverse mixed quasi-variational inequality
Gap function
Error bounds
Generalized f-projection operator
Applied mathematics. Quantitative methods
T57-57.97
Analysis
QA299.6-433
Zhong-bao Wang
Zhang-you Chen
Zhe Chen
Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
description Abstract This paper is devoted to investigating a vector inverse mixed quasi-variational inequality (VIMQVI). Our aim is to obtain error bounds for VIMQVI in terms of different gap functions, i.e., the residual gap function, the regularized gap function, and the D-gap function. These bounds provide effective estimated distances between an arbitrary feasible point and the solution set of VIMQVI. The approach exploited in this paper is based on the generalized f-projection operator due to Wu and Huang. Our results cover and extend similar results for these problems.
format article
author Zhong-bao Wang
Zhang-you Chen
Zhe Chen
author_facet Zhong-bao Wang
Zhang-you Chen
Zhe Chen
author_sort Zhong-bao Wang
title Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
title_short Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
title_full Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
title_fullStr Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
title_full_unstemmed Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
title_sort gap functions and error bounds for vector inverse mixed quasi-variational inequality problems
publisher SpringerOpen
publishDate 2019
url https://doaj.org/article/db4cd50d32064e81afd946281648a1e2
work_keys_str_mv AT zhongbaowang gapfunctionsanderrorboundsforvectorinversemixedquasivariationalinequalityproblems
AT zhangyouchen gapfunctionsanderrorboundsforvectorinversemixedquasivariationalinequalityproblems
AT zhechen gapfunctionsanderrorboundsforvectorinversemixedquasivariationalinequalityproblems
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