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

Author

Yao, Yonghong, Yao, Zhangsong, Abdou, Afrah, and Cho, Yeol

Subjects
*ALGORITHMS, *STOCHASTIC convergence, *MATHEMATICAL regularization, *FIXED point theory, *MATHEMATICAL analysis, *MATHEMATICAL models
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2015
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