DocumentCode
3598909
Title
Hybrid algorithm for maximal monotone operators, quasi-ϕ-nonexpansive mappings and equilibrium problems in banach spaces
Author
Fan, Shu-xin ; Duan, Li-ling ; Li, Wei
Author_Institution
Sch. of Math. & Stat., Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Volume
2
fYear
2011
Firstpage
856
Lastpage
862
Abstract
In this paper, some hybrid iterative algorithms for approximating the common element of the set of solutions of an equilibrium problem, the set of common fixed points of finitely many quasi-φ-nonexpansive mappings and the set of common zeroes of finitely many maximal monotone operators in a uniformly smooth and uniformly convex Banach space are presented. Some strong convergence theorems are obtained which extend and complement the previous results. Moreover, the applications of the iterative algorithms to optimization problem and minimizer problem are demonstrated. The work done in this paper has significance in the area of economic mathematics, engineering sciences and some others.
Keywords
Banach spaces; convergence; iterative methods; mathematical operators; minimisation; Banach spaces; common zeroes; convergence theorem; economic mathematics; engineering sciences; equilibrium problem; finitely many maximal monotone operators; finitely many quasi-φ-nonexpansive mapping; hybrid iterative algorithm; minimizer problem; optimization problem; uniformly convex Banach space; uniformly smooth Banach space; Approximation algorithms; Cybernetics; Economics; Iterative methods; Machine learning; Machine learning algorithms; Equilibrium problem; Hybrid algorithm; Maximal monotone operator; Quasi-ϕ-nonexpansive mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016826
Filename
6016826
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