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Self-adaptive algorithms for proximal split feasibility problems and strong convergence analysis.
- Source :
- Fixed Point Theory & Applications; 11/14/2015, Vol. 2015 Issue 1, p1-13, 13p
- Publication Year :
- 2015
-
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]
Details
- Language :
- English
- ISSN :
- 16871820
- Volume :
- 2015
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Fixed Point Theory & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 110951466
- Full Text :
- https://doi.org/10.1186/s13663-015-0462-7