General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities

This paper deals with new methods for approximating a solution to the fixed point problem; find x̃∈F(T), where H is a Hilbert space, C is a closed convex subset of H, f is a ρ-contraction from C into H, 0<ρ<1, A is a strongly positive linear-bounded operator with coefficient γ̅>0, 0<γ<...

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Main Authors: Nopparat Wairojjana, Poom Kumam
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/174318
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author Nopparat Wairojjana
Poom Kumam
author_facet Nopparat Wairojjana
Poom Kumam
author_sort Nopparat Wairojjana
collection DOAJ
description This paper deals with new methods for approximating a solution to the fixed point problem; find x̃∈F(T), where H is a Hilbert space, C is a closed convex subset of H, f is a ρ-contraction from C into H, 0<ρ<1, A is a strongly positive linear-bounded operator with coefficient γ̅>0, 0<γ<γ̅/ρ, T is a nonexpansive mapping on C, and PF(T) denotes the metric projection on the set of fixed point of T. Under a suitable different parameter, we obtain strong convergence theorems by using the projection method which solves the variational inequality 〈(A-γf)x̃+τ(I-S)x̃,x-x̃〉≥0 for x∈F(T), where τ∈[0,∞). Our results generalize and improve the corresponding results of Yao et al. (2010) and some authors. Furthermore, we give an example which supports our main theorem in the last part.
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spelling doaj-art-2bd66bd390944cd8bb4aee6f6e8cd0762025-02-03T06:42:17ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/174318174318General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational InequalitiesNopparat Wairojjana0Poom Kumam1Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangmod, Bangkok 10140, ThailandDepartment of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangmod, Bangkok 10140, ThailandThis paper deals with new methods for approximating a solution to the fixed point problem; find x̃∈F(T), where H is a Hilbert space, C is a closed convex subset of H, f is a ρ-contraction from C into H, 0<ρ<1, A is a strongly positive linear-bounded operator with coefficient γ̅>0, 0<γ<γ̅/ρ, T is a nonexpansive mapping on C, and PF(T) denotes the metric projection on the set of fixed point of T. Under a suitable different parameter, we obtain strong convergence theorems by using the projection method which solves the variational inequality 〈(A-γf)x̃+τ(I-S)x̃,x-x̃〉≥0 for x∈F(T), where τ∈[0,∞). Our results generalize and improve the corresponding results of Yao et al. (2010) and some authors. Furthermore, we give an example which supports our main theorem in the last part.http://dx.doi.org/10.1155/2012/174318
spellingShingle Nopparat Wairojjana
Poom Kumam
General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
Journal of Applied Mathematics
title General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
title_full General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
title_fullStr General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
title_full_unstemmed General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
title_short General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities
title_sort general iterative algorithms for hierarchical fixed points approach to variational inequalities
url http://dx.doi.org/10.1155/2012/174318
work_keys_str_mv AT nopparatwairojjana generaliterativealgorithmsforhierarchicalfixedpointsapproachtovariationalinequalities
AT poomkumam generaliterativealgorithmsforhierarchicalfixedpointsapproachtovariationalinequalities