Convergence analysis of an iterative algorithm for monotone operators

被引：118
|
作者：
Cho, Sun Young [1 ]
Li, Wenling [2 ]
Kang, Shin Min [1 ,3 ]
机构：
[1] Gyeongsang Natl Univ, Dept Math, Jinju 660701, South Korea
[2] Henan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Peoples R China
[3] Gyeongsang Natl Univ, RINS, Jinju 660701, South Korea
来源：
JOURNAL OF INEQUALITIES AND APPLICATIONS | 2013年
关键词：
inverse-strongly monotone mapping; maximal monotone operator; resolvent; strictly pseudocontractive mapping; fixed point; FIXED-POINT PROBLEMS; HYBRID PROJECTION METHODS; EQUILIBRIUM PROBLEMS; NONEXPANSIVE-MAPPINGS; WEAK-CONVERGENCE; COMMON SOLUTIONS; THEOREMS; APPROXIMATION; SEQUENCE;
D O I：
10.1186/1029-242X-2013-199
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an iterative algorithm is proposed to study some nonlinear operators which are inverse-strongly monotone, maximal monotone, and strictly pseudocontractive. Strong convergence of the proposed iterative algorithm is obtained in the framework of Hilbert spaces.
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收藏
页数：14
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