Hybrid Algorithms for Solving Variational Inequalities, Variational Inclusions, Mixed Equilibria, and Fixed Point Problems

被引:2
|
作者
Ceng, Lu-Chuan [1 ,2 ]
Petrusel, Adrian [3 ]
Wong, Mu-Ming [4 ,5 ]
Yao, Jen-Chih [6 ,7 ]
机构
[1] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
[2] Sci Comp Key Lab Shanghai Univ, Shanghai 200234, Peoples R China
[3] Univ Babes Bolyai, Dept Appl Math, Cluj Napoca 400084, Romania
[4] Chung Yuan Christian Univ, Dept Appl Math, Chungli 32023, Taiwan
[5] Chung Yuan Christian Univ, Ctr Theoret Sci, Chungli 32023, Taiwan
[6] Kaohsiung Med Univ, Ctr Fundamental Sci, Kaohsiung 807, Taiwan
[7] King Abdulaziz Univ, Dept Math, Jeddah 21589, Saudi Arabia
基金
美国国家科学基金会;
关键词
WEAK-CONVERGENCE THEOREMS; EXTRAGRADIENT METHOD; NONEXPANSIVE-MAPPINGS; MONOTONE OPERATORS; SPLIT FEASIBILITY; ITERATIVE METHOD; COMMON SOLUTIONS;
D O I
10.1155/2014/208717
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We present a hybrid iterative algorithm for finding a common element of the set of solutions of a finite family of generalized mixed equilibrium problems, the set of solutions of a finite family of variational inequalities for inverse strong monotone mappings, the set of fixed points of an infinite family of nonexpansive mappings, and the set of solutions of a variational inclusion in a real Hilbert space. Furthermore, we prove that the proposed hybrid iterative algorithm has strong convergence under some mild conditions imposed on algorithm parameters. Here, our hybrid algorithm is based on Korpelevic's extragradient method, hybrid steepest-descent method, and viscosity approximation method.
引用
收藏
页数:22
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