Strong convergence of a self-adaptive method for the split feasibility problem

被引：0
|
作者：
Yonghong Yao
Mihai Postolache
Yeong-Cheng Liou
机构：
[1] Tianjin Polytechnic University,Department of Mathematics
[2] University ‘Politehnica’ of Bucharest,Faculty of Applied Sciences
[3] Cheng Shiu University,Department of Information Management
来源：
Fixed Point Theory and Applications | / 2013卷
关键词：
split feasibility problem; self-adaptive method; projection; minimization problem; minimum-norm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Self-adaptive methods which permit step-sizes being selected self-adaptively are effective methods for solving some important problems, e.g., variational inequality problems. We devote this paper to developing and improving the self-adaptive methods for solving the split feasibility problem. A new improved self-adaptive method is introduced for solving the split feasibility problem. As a special case, the minimum norm solution of the split feasibility problem can be approached iteratively.
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