A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem

This paper deals with the split feasibility problem that requires to find a point closest to a closed convex set in one space such that its image under a linear transformation will be closest to another closed convex set in the image space. By combining perturbed strategy with inertial technique, we...

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Main Authors: Yazheng Dang, Yan Gao, Yanli Han
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/207323
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author Yazheng Dang
Yan Gao
Yanli Han
author_facet Yazheng Dang
Yan Gao
Yanli Han
author_sort Yazheng Dang
collection DOAJ
description This paper deals with the split feasibility problem that requires to find a point closest to a closed convex set in one space such that its image under a linear transformation will be closest to another closed convex set in the image space. By combining perturbed strategy with inertial technique, we construct an inertial perturbed projection algorithm for solving the split feasibility problem. Under some suitable conditions, we show the asymptotic convergence. The results improve and extend the algorithms presented in Byrne (2002) and in Zhao and Yang (2005) and the related convergence theorem.
format Article
id doaj-art-e12b64e262424e1ea8d2a5743f9834c6
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-e12b64e262424e1ea8d2a5743f9834c62025-02-03T05:59:54ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/207323207323A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility ProblemYazheng Dang0Yan Gao1Yanli Han2School of Management, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, ChinaSchool of Management, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, ChinaSchool of Management, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, ChinaThis paper deals with the split feasibility problem that requires to find a point closest to a closed convex set in one space such that its image under a linear transformation will be closest to another closed convex set in the image space. By combining perturbed strategy with inertial technique, we construct an inertial perturbed projection algorithm for solving the split feasibility problem. Under some suitable conditions, we show the asymptotic convergence. The results improve and extend the algorithms presented in Byrne (2002) and in Zhao and Yang (2005) and the related convergence theorem.http://dx.doi.org/10.1155/2012/207323
spellingShingle Yazheng Dang
Yan Gao
Yanli Han
A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
Journal of Applied Mathematics
title A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
title_full A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
title_fullStr A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
title_full_unstemmed A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
title_short A Perturbed Projection Algorithm with Inertial Technique for Split Feasibility Problem
title_sort perturbed projection algorithm with inertial technique for split feasibility problem
url http://dx.doi.org/10.1155/2012/207323
work_keys_str_mv AT yazhengdang aperturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem
AT yangao aperturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem
AT yanlihan aperturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem
AT yazhengdang perturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem
AT yangao perturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem
AT yanlihan perturbedprojectionalgorithmwithinertialtechniqueforsplitfeasibilityproblem