期刊论文详细信息
Journal of inequalities and applications
Regularized gradient-projection methods for equilibrium and constrained convex minimization problems
Ming Tian1 
关键词: iterative method;    constrained convex minimization;    equilibrium;    fixed point;    variational inequality;   
DOI  :  10.1186/1029-242X-2013-243
学科分类:数学(综合)
来源: SpringerOpen
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【 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. MSC:58E35, 47H09, 65J15.

【 授权许可】

CC BY   

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