Self-adaptive algorithms for proximal split feasibility problems and strong convergence analysis

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• 作者：Yonghong Yao ; Zhangsong Yao ; Afrah AN Abdou…
• 关键词：proximal split feasibility problem ; self ; adaptive algorithm ; fixed point method ; strong convergence
• 刊名：Fixed Point Theory and Applications
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：2015
• 期：1
• 全文大小：1,541 KB
• 刊物主题：Analysis; Mathematics, general; Applications of Mathematics; Differential Geometry; Topology; Mathematical and Computational Biology;
• 出版者：Springer International Publishing
• ISSN：1687-1812

文摘

The purpose of the paper is to study the proximal split feasibility problems. For solving the problems, we present new self-adaptive algorithms with the regularization technique. By using these algorithms, we give some strong convergence theorems for the proximal split feasibility problems.