Article (Scientific journals)
Extragradient methods and linesearch algorithms for solving Ky Fan inequalities and fixed point problems
Phan, Vuong; Jean Jacques, Strodiot; Nguyen, Van Hien
2012In Journal of Optimization Theory and Applications
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Keywords :
Ky Fan’s inequality Fixed-point problem Hybrid projection method Extragradient method ξ-Strict pseudocontraction Armijo backtracking linesearch Lipschitz continuity
Abstract :
[en] In this paper, we introduce some new iterative methods for finding a common element of the set of points satisfying a Ky Fan inequality, and the set of fixed points of a contraction mapping in a Hilbert space. The strong convergence of the iterates generated by each method is obtained thanks to a hybrid projection method, under the assumptions that the fixed-point mapping is a ξ-strict pseudocontraction, and the function associated with the Ky Fan inequality is pseudomonotone and weakly continuous. A Lipschitz-type condition is assumed to hold on this function when the basic iteration comes from the extragradient method. This assumption is unnecessary when an Armijo backtracking linesearch is incorporated in the extragradient method. The particular case of variational inequality problems is examined in a last section.
Disciplines :
Mathematics
Author, co-author :
Phan, Vuong ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Jean Jacques, Strodiot;  Facultés Universitaires Notre-Dame de la Paix - Namur - FUNDP > Mathematics
Nguyen, Van Hien;  Facultés Universitaires Notre-Dame de la Paix - Namur - FUNDP
External co-authors :
yes
Language :
English
Title :
Extragradient methods and linesearch algorithms for solving Ky Fan inequalities and fixed point problems
Publication date :
2012
Journal title :
Journal of Optimization Theory and Applications
ISSN :
1573-2878
Publisher :
Springer Science & Business Media B.V.
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
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since 22 April 2016

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