Iterative algorithms with the regularization for the constrained convex minimization problem and maximal monotone operators

被引:0
|
作者
Khuangsatung, Wongvisarut [1 ]
Kangtunyakarn, Atid [2 ]
机构
[1] Rajamangala Univ Technol Thanyaburi, Fac Sci & Technol, Dept Math & Comp Sci, Pathum Thani, Thailand
[2] King Mongkuts Inst Technol Ladkrabang, Fac Sci, Dept Math, Bangkok, Thailand
关键词
Constrained convex minimization; resolvent operator; maximal monotone operators; NONEXPANSIVE-MAPPINGS; VARIATIONAL INCLUSION; HILBERT-SPACES; CONVERGENCE;
D O I
10.1080/02331934.2017.1343330
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, weprove a strong convergence theorem for finding a common element of the solution set of a constrained convex minimization problem and the set of solutions of a finite family of variational inclusion problems in Hilbert space. A strong convergence theorem for finding a common element of the solution set of a constrained convex minimization problem and the solution sets of a finite family of zero points of the maximal monotone operator problem in Hilbert space is also obtained. Using our main result, we have some additional results for various types of non-linear problems in Hilbert space.
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页码:1623 / 1646
页数:24
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