General iterative scheme based on the regularization for solving a constrained convex minimization problem

被引：0
作者：
Ming Tian
机构：
[1] Civil Aviation University of China,College of Science
来源：
Journal of Inequalities and Applications | / 2013卷
关键词：
averaged mapping; gradient-projection algorithm; constrained convex minimization; regularization; split feasibility problem; variational inequality;
D O I：
暂无
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学科分类号：
摘要：
It is well known that the regularization method plays an important role in solving a constrained convex minimization problem. In this article, we introduce implicit and explicit iterative schemes based on the regularization for solving a constrained convex minimization problem. We establish results on the strong convergence of the sequences generated by the proposed schemes to a solution of the minimization problem. Such a point is also a solution of a variational inequality. We also apply the algorithm to solve a split feasibility problem.
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