Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems

It is well known that the gradient-projection algorithm (GPA) for solving constrained convex minimization problems has been proven to have only weak convergence unless the underlying Hilbert space is finite dimensional. In this paper, we introduce a new hybrid gradient-projection algorithm for solvi...

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Main Authors: Lu-Chuan Ceng, Ching-Feng Wen
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Function Spaces and Applications
Online Access:http://dx.doi.org/10.1155/2012/678353
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author Lu-Chuan Ceng
Ching-Feng Wen
author_facet Lu-Chuan Ceng
Ching-Feng Wen
author_sort Lu-Chuan Ceng
collection DOAJ
description It is well known that the gradient-projection algorithm (GPA) for solving constrained convex minimization problems has been proven to have only weak convergence unless the underlying Hilbert space is finite dimensional. In this paper, we introduce a new hybrid gradient-projection algorithm for solving constrained convex minimization problems with generalized mixed equilibrium problems in a real Hilbert space. It is proven that three sequences generated by this algorithm converge strongly to the unique solution of some variational inequality, which is also a common element of the set of solutions of a constrained convex minimization problem, the set of solutions of a generalized mixed equilibrium problem, and the set of fixed points of a strict pseudocontraction in a real Hilbert space.
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institution Kabale University
issn 0972-6802
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language English
publishDate 2012-01-01
publisher Wiley
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series Journal of Function Spaces and Applications
spelling doaj-art-cad78a4c4c104387a03aa8bc7246ac002025-02-03T01:25:07ZengWileyJournal of Function Spaces and Applications0972-68021758-49652012-01-01201210.1155/2012/678353678353Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium ProblemsLu-Chuan Ceng0Ching-Feng Wen1Department of Mathematics, Scientific Computing Key Laboratory of Shanghai Universities, Shanghai Normal University, Shanghai 200234, ChinaCenter for General Education, Kaohsiung Medical University, Kaohsiung 80708, TaiwanIt is well known that the gradient-projection algorithm (GPA) for solving constrained convex minimization problems has been proven to have only weak convergence unless the underlying Hilbert space is finite dimensional. In this paper, we introduce a new hybrid gradient-projection algorithm for solving constrained convex minimization problems with generalized mixed equilibrium problems in a real Hilbert space. It is proven that three sequences generated by this algorithm converge strongly to the unique solution of some variational inequality, which is also a common element of the set of solutions of a constrained convex minimization problem, the set of solutions of a generalized mixed equilibrium problem, and the set of fixed points of a strict pseudocontraction in a real Hilbert space.http://dx.doi.org/10.1155/2012/678353
spellingShingle Lu-Chuan Ceng
Ching-Feng Wen
Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
Journal of Function Spaces and Applications
title Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
title_full Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
title_fullStr Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
title_full_unstemmed Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
title_short Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
title_sort hybrid gradient projection algorithm for solving constrained convex minimization problems with generalized mixed equilibrium problems
url http://dx.doi.org/10.1155/2012/678353
work_keys_str_mv AT luchuanceng hybridgradientprojectionalgorithmforsolvingconstrainedconvexminimizationproblemswithgeneralizedmixedequilibriumproblems
AT chingfengwen hybridgradientprojectionalgorithmforsolvingconstrainedconvexminimizationproblemswithgeneralizedmixedequilibriumproblems