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A New Double-Projection Method for Solving Variational Inequalities in Banach Spaces.

Authors :
Cai, Gang
Gibali, Aviv
Iyiola, Olaniyi S.
Shehu, Yekini
Source :
Journal of Optimization Theory & Applications. Jul2018, Vol. 178 Issue 1, p219-239. 21p.
Publication Year :
2018

Abstract

In this paper, we study the variational inequalities involving monotone and Lipschitz continuous mapping in Banach spaces. A new and simple iterative method, which combines Halpern’s technique and the subgradient extragradient idea, is given. Under mild and standard assumptions, we establish the strong convergence of our algorithm in a uniformly smooth and convex Banach spaces. We also present a modification of our method using a line-search approach, this enable to obtain strong convergence in real and reflexive Banach spaces, without the prior knowledge of the Lipschitz constant. Numerical experiments illustrate the performances of our new algorithm and provide a comparison with related algorithms. Our results generalize and extend some of the existing works in Hilbert spaces to Banach spaces as well as provide an extension from weak to strong convergence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223239
Volume :
178
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Optimization Theory & Applications
Publication Type :
Academic Journal
Accession number :
130360191
Full Text :
https://doi.org/10.1007/s10957-018-1228-2