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Abstract and Applied Analysis
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A Strongly Convergent Method for the Split Feasibility Problem

A strongly convergent method for the split feasibility problem
Authors: Yao, Yonghong; Liou, Yeong-Cheng; Shahzad, Naseer;

A Strongly Convergent Method for the Split Feasibility Problem

Abstract

The purpose of this paper is to introduce and analyze a strongly convergent method which combined regularized method, with extragradient method for solving the split feasibility problem in the setting of infinite‐dimensional Hilbert spaces. Note that the strong convergence point is the minimum norm solution of the split feasibility problem.

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Keywords

infinite-dimensional Hilbert spaces, Numerical mathematical programming methods, Inverse problems in optimal control, Other numerical methods in calculus of variations, strongly convergent method, QA1-939, Numerical solution to inverse problems in abstract spaces, split feasibility problem, Mathematics

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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!
6
Average
Average
Average
gold