SHRINKING PROJECTION ALGORITHMS FOR THE SPLIT COMMON NULL POINT PROBLEM

DOI10.1017/S000497271700017XMaRDI QIDQ5369407

Vahid Dadashi

Publication date: 17 October 2017

Published in: Bulletin of the Australian Mathematical Society (Search for Journal in Brave)

zbMATH Keywords

maximal monotone operatorprojectionresolvent operatorsplit common null point problemshrinking projection algorithm

Mathematics Subject Classification ID

Monotone operators and generalizations (47H05) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)

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Cites Work

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• Strong convergence theorems by hybrid methods for the split common null point problem in Banach spaces
• Convergence of best approximations in a smooth Banach space
• A multiprojection algorithm using Bregman projections in a product space
• Convergence of convex sets and of solutions of variational inequalities
• Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces
• The multiple-sets split feasibility problem and its applications for inverse problems
• A unified treatment of some iterative algorithms in signal processing and image reconstruction
• Iterative oblique projection onto convex sets and the split feasibility problem
• The Split Common Null Point Problem

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