A Penalization-Gradient Algorithm for Variational Inequalities

This paper is concerned with the study of a penalization-gradient algorithm for solving variational inequalities, namely, find x̅∈C such that 〈Ax̅,y-x̅〉≥0 for all y∈C, where A:H→H is a single-valued operator, C is a closed convex set of a real Hilbert space H. Given Ψ:H→R  ∪  {+∞} which acts as a pe...

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Main Authors: Abdellatif Moudafi, Eman Al-Shemas
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2011/305856
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author Abdellatif Moudafi
Eman Al-Shemas
author_facet Abdellatif Moudafi
Eman Al-Shemas
author_sort Abdellatif Moudafi
collection DOAJ
description This paper is concerned with the study of a penalization-gradient algorithm for solving variational inequalities, namely, find x̅∈C such that 〈Ax̅,y-x̅〉≥0 for all y∈C, where A:H→H is a single-valued operator, C is a closed convex set of a real Hilbert space H. Given Ψ:H→R  ∪  {+∞} which acts as a penalization function with respect to the constraint x̅∈C, and a penalization parameter βk, we consider an algorithm which alternates a proximal step with respect to ∂Ψ and a gradient step with respect to A and reads as xk=(I+λkβk∂Ψ)-1(xk-1-λkAxk-1). Under mild hypotheses, we obtain weak convergence for an inverse strongly monotone operator and strong convergence for a Lipschitz continuous and strongly monotone operator. Applications to hierarchical minimization and fixed-point problems are also given and the multivalued case is reached by replacing the multivalued operator by its Yosida approximate which is always Lipschitz continuous.
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spelling doaj-art-9be57cce11cd4aa4aedbd8e0d9cdace32025-08-20T02:18:27ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252011-01-01201110.1155/2011/305856305856A Penalization-Gradient Algorithm for Variational InequalitiesAbdellatif Moudafi0Eman Al-Shemas1Département Scientifique Interfacultaires, Université des Antilles et de la Guyane, CEREGMIA, 97275 Schoelcher, Martinique, FranceDepartment of Mathematics, College of Basic Education, PAAET Main Campus-Shamiya, KuwaitThis paper is concerned with the study of a penalization-gradient algorithm for solving variational inequalities, namely, find x̅∈C such that 〈Ax̅,y-x̅〉≥0 for all y∈C, where A:H→H is a single-valued operator, C is a closed convex set of a real Hilbert space H. Given Ψ:H→R  ∪  {+∞} which acts as a penalization function with respect to the constraint x̅∈C, and a penalization parameter βk, we consider an algorithm which alternates a proximal step with respect to ∂Ψ and a gradient step with respect to A and reads as xk=(I+λkβk∂Ψ)-1(xk-1-λkAxk-1). Under mild hypotheses, we obtain weak convergence for an inverse strongly monotone operator and strong convergence for a Lipschitz continuous and strongly monotone operator. Applications to hierarchical minimization and fixed-point problems are also given and the multivalued case is reached by replacing the multivalued operator by its Yosida approximate which is always Lipschitz continuous.http://dx.doi.org/10.1155/2011/305856
spellingShingle Abdellatif Moudafi
Eman Al-Shemas
A Penalization-Gradient Algorithm for Variational Inequalities
International Journal of Mathematics and Mathematical Sciences
title A Penalization-Gradient Algorithm for Variational Inequalities
title_full A Penalization-Gradient Algorithm for Variational Inequalities
title_fullStr A Penalization-Gradient Algorithm for Variational Inequalities
title_full_unstemmed A Penalization-Gradient Algorithm for Variational Inequalities
title_short A Penalization-Gradient Algorithm for Variational Inequalities
title_sort penalization gradient algorithm for variational inequalities
url http://dx.doi.org/10.1155/2011/305856
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