An intermixed iteration for constrained convex minimization problem and split feasibility problem

被引：2

作者：

Saechou, Kanyanee ^{[1
]}

Kangtunyakarn, Atid ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Fac Sci, Dept Math, Bangkok, Thailand

来源：

JOURNAL OF INEQUALITIES AND APPLICATIONS | 2019年 / 2019卷 / 01期

关键词：

Constrained convex minimization problem; Split feasibility problem; Variational inequality; CONVERGENCE;

D O I：

10.1186/s13660-019-2222-4

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we first introduce the two-step intermixed iteration for finding the common solution of a constrained convex minimization problem, and also we prove a strong convergence theorem for the intermixed algorithm. By using our main theorem, we prove a strong convergence theorem for the split feasibility problem. Finally, we apply our main theorem for the numerical example.

引用

页数：22

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