A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems

© 2017 by the Tusi Mathematical Research Group. In this article, we prove some properties of a demicontractive mapping defined on a nonempty closed convex subset of a Hilbert space. By using these properties, we obtain strong convergence theorems of a hybrid shrinking projection method for finding a...

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Main Authors: Suthep Suantai, Withun Phuengrattana
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/57512
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-575122018-09-05T03:44:41Z A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems Suthep Suantai Withun Phuengrattana Mathematics © 2017 by the Tusi Mathematical Research Group. In this article, we prove some properties of a demicontractive mapping defined on a nonempty closed convex subset of a Hilbert space. By using these properties, we obtain strong convergence theorems of a hybrid shrinking projection method for finding a common element of the set of common fixed points of a finite family of demicontractive mappings and the set of com- mon solutions of a finite family of variational inequality problems in a Hilbert space. A numerical example is presented to illustrate the proposed method and convergence result. Our results improve and extend the corresponding results existing in the literature. 2018-09-05T03:44:41Z 2018-09-05T03:44:41Z 2017-07-01 Journal 17358787 2-s2.0-85024865473 10.1215/17358787-2017-0010 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85024865473&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57512
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Suthep Suantai
Withun Phuengrattana
A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
description © 2017 by the Tusi Mathematical Research Group. In this article, we prove some properties of a demicontractive mapping defined on a nonempty closed convex subset of a Hilbert space. By using these properties, we obtain strong convergence theorems of a hybrid shrinking projection method for finding a common element of the set of common fixed points of a finite family of demicontractive mappings and the set of com- mon solutions of a finite family of variational inequality problems in a Hilbert space. A numerical example is presented to illustrate the proposed method and convergence result. Our results improve and extend the corresponding results existing in the literature.
format Journal
author Suthep Suantai
Withun Phuengrattana
author_facet Suthep Suantai
Withun Phuengrattana
author_sort Suthep Suantai
title A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
title_short A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
title_full A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
title_fullStr A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
title_full_unstemmed A hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
title_sort hybrid shrinking projection method for common fixed points of a finite family of demicontractive mappings with variational inequality problems
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85024865473&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57512
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