Regularized gradient-projection methods for equilibrium and constrained convex minimization problems

被引：0
|
作者：
Ming Tian
Li-Hua Huang
机构：
[1] Civil Aviation University of China,College of Science
来源：
Journal of Inequalities and Applications | / 2013卷
关键词：
iterative method; constrained convex minimization; equilibrium; fixed point; variational inequality;
D O I：
暂无
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学科分类号：
摘要：
In this article, based on Marino and Xu’s method, an iterative method which combines the regularized gradient-projection algorithm (RGPA) and the averaged mappings approach is proposed for finding a common solution of equilibrium and constrained convex minimization problems. Under suitable conditions, it is proved that the sequences generated by implicit and explicit schemes converge strongly. The results of this paper extend and improve some existing results.
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