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Strong Convergence of Iterative Algorithms for Variational Inequalities in Banach Spaces.

Authors :
Ceng, L.
Schaible, S.
Yao, J.
Source :
Journal of Optimization Theory & Applications; May2009, Vol. 141 Issue 2, p265-283, 19p
Publication Year :
2009

Abstract

Let C be a nonempty closed convex subset of a Banach space E with the dual E<superscript>*</superscript>, let T: C→ E<superscript>*</superscript> be a Lipschitz continuous mapping and let S: C→ C be a relatively nonexpansive mapping. In this paper, by employing the notion of generalized projection operator, we study the following variational inequality (for short, VI( T− f, C)): find x∈ C such that where f∈ E<superscript>*</superscript> is a given element. Utilizing the modified Ishikawa iteration and the modified Halpern iteration for relatively nonexpansive mappings, we propose two modified versions of J.L. Li’s (J. Math. Anal. Appl. 295:115–126, ) iterative algorithm for finding approximate solutions of VI( T− f, C). Moreover, it is proven that these iterative algorithms converge strongly to the same solution of VI( T− f, C), which is also a fixed point of S. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223239
Volume :
141
Issue :
2
Database :
Complementary Index
Journal :
Journal of Optimization Theory & Applications
Publication Type :
Academic Journal
Accession number :
37826401
Full Text :
https://doi.org/10.1007/s10957-008-9506-z