Strong convergence of two algorithms for the split feasibility problem in Banach spaces

DOI10.1080/02331934.2018.1483365zbMath1416.90056OpenAlexW2809678634WikidataQ129685061 ScholiaQ129685061MaRDI QIDQ4646522

Feng Hui Wang

Publication date: 14 January 2019

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2018.1483365

zbMATH Keywords

smoothduality mappinguniformly convexmetric projectionBregman projectionsplit feasibility problem

Mathematics Subject Classification ID

Programming in abstract spaces (90C48)

Related Items (7)

The ball-relaxed gradient-projection algorithm for split feasibility problem ⋮ A generalized self-adaptive algorithm for the split feasibility problem in Banach spaces ⋮ An inertial method for split common fixed point problems in Hilbert spaces ⋮ On the shrinking projection method for the split feasibility problem in Banach spaces ⋮ Strong convergence on the split feasibility problem by mixing \(W\)-mapping ⋮ The strong convergence of Douglas-Rachford methods for the split feasibility problem ⋮ The Strongly Convergent Relaxed Alternating CQ Algorithms for the Split Equality Problem in Hilbert Spaces

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