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On extragradient-viscosity methods for solving equilibrium and fixed point problems in a Hilbert space

On extragradient-viscosity methods for solving equilibrium and fixed point problems in a Hilbert space
On extragradient-viscosity methods for solving equilibrium and fixed point problems in a Hilbert space
In this paper, new numerical algorithms are introduced for finding the solution of a variational inequality problem whose constraint set is the common elements of the set of fixed points of a demicontractive mapping and the set of solutions of an equilibrium problem for a monotone mapping in a real Hilbert space. The strong convergence of the iterates generated by these algorithms is obtained by combining a viscosity approximation method with an extragradient method. First, this is done when the basic iteration comes directly from the extragradient method, under a Lipschitz-type condition on the equilibrium function. Then, it is shown that this rather strong condition can be omitted when an Armijo-backtracking linesearch is incorporated into the extragradient iteration. The particular case of variational inequality problems is also examined.
0233-1934
429-451
Vuong, Phan Tu
52577e5d-ebe9-4a43-b5e7-68aa06cfdcaf
Strodiot, Jean Jacques
31543686-3a24-46f8-87f7-0c3af6b86c98
Nguyen, Van Hien
04d3ee42-be73-46df-8709-4c3d0ece2158
Vuong, Phan Tu
52577e5d-ebe9-4a43-b5e7-68aa06cfdcaf
Strodiot, Jean Jacques
31543686-3a24-46f8-87f7-0c3af6b86c98
Nguyen, Van Hien
04d3ee42-be73-46df-8709-4c3d0ece2158

Vuong, Phan Tu, Strodiot, Jean Jacques and Nguyen, Van Hien (2015) On extragradient-viscosity methods for solving equilibrium and fixed point problems in a Hilbert space. Optimization, 64 (2), 429-451. (doi:10.1080/02331934.2012.759327).

Record type: Article

Abstract

In this paper, new numerical algorithms are introduced for finding the solution of a variational inequality problem whose constraint set is the common elements of the set of fixed points of a demicontractive mapping and the set of solutions of an equilibrium problem for a monotone mapping in a real Hilbert space. The strong convergence of the iterates generated by these algorithms is obtained by combining a viscosity approximation method with an extragradient method. First, this is done when the basic iteration comes directly from the extragradient method, under a Lipschitz-type condition on the equilibrium function. Then, it is shown that this rather strong condition can be omitted when an Armijo-backtracking linesearch is incorporated into the extragradient iteration. The particular case of variational inequality problems is also examined.

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More information

Accepted/In Press date: 11 December 2012
e-pub ahead of print date: 22 February 2013
Published date: 1 February 2015

Identifiers

Local EPrints ID: 434641
URI: http://eprints.soton.ac.uk/id/eprint/434641
ISSN: 0233-1934
PURE UUID: 8ba0bd82-a577-4d96-9df7-065449cc7119
ORCID for Phan Tu Vuong: ORCID iD orcid.org/0000-0002-1474-994X

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Date deposited: 04 Oct 2019 16:30
Last modified: 16 Mar 2024 04:42

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Contributors

Author: Phan Tu Vuong ORCID iD
Author: Jean Jacques Strodiot
Author: Van Hien Nguyen

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