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Abstract and Applied Analysis
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https://dx.doi.org/10.1155/201...
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Claim

A Regularized Algorithm for the Proximal Split Feasibility Problem

A regularized algorithm for the proximal split feasibility problem
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2014 English Publisher:WileyJournal:Abstract and Applied Analysis, volume 2,014, pages 1-6 (issn: 1085-3375, eissn: 1687-0409, Copyright policy )
Authors: Zhangsong Yao; Sun Young Cho; Shin Min Kang; Li-Jun Zhu;

doi: 10.1155/2014/894272

A Regularized Algorithm for the Proximal Split Feasibility Problem

Abstract

The proximal split feasibility problem has been studied. A regularized method has been presented for solving the proximal split feasibility problem. Strong convergence theorem is given.

Related Organizations
Keywords

strong convergence, regularized method, Iterative procedures involving nonlinear operators, proximal split feasibility problem, QA1-939, Mathematics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold