Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem

The multiple-set split feasibility problem requires finding a point closest to a family of closed convex sets in one space such that its image under a linear transformation will be closest to another family of closed convex sets in the image space. It can be a model for many inverse problems where c...

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Main Authors: Yonghong Yao, Rudong Chen, Giuseppe Marino, Yeong Cheng Liou
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/927530
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author Yonghong Yao
Rudong Chen
Giuseppe Marino
Yeong Cheng Liou
author_facet Yonghong Yao
Rudong Chen
Giuseppe Marino
Yeong Cheng Liou
author_sort Yonghong Yao
collection DOAJ
description The multiple-set split feasibility problem requires finding a point closest to a family of closed convex sets in one space such that its image under a linear transformation will be closest to another family of closed convex sets in the image space. It can be a model for many inverse problems where constraints are imposed on the solutions in the domain of a linear operator as well as in the operator’s range. It generalizes the convex feasibility problem as well as the two-set split feasibility problem. In this paper, we will review and report some recent results on iterative approaches to the multiple-set split feasibility problem.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-56c7ef7296b0492c8f606ef9ef5c1a002025-02-03T05:47:12ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/927530927530Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility ProblemYonghong Yao0Rudong Chen1Giuseppe Marino2Yeong Cheng Liou3Department of Mathematics, Tianjin Polytechnic University, Tianjin 300387, ChinaDepartment of Mathematics, Tianjin Polytechnic University, Tianjin 300387, ChinaDipartimento di Matematica, Università della Calabria, 87036 Arcavacata di Rende, ItalyDepartment of Information Management, Cheng Shiu University, Kaohsiung 833, TaiwanThe multiple-set split feasibility problem requires finding a point closest to a family of closed convex sets in one space such that its image under a linear transformation will be closest to another family of closed convex sets in the image space. It can be a model for many inverse problems where constraints are imposed on the solutions in the domain of a linear operator as well as in the operator’s range. It generalizes the convex feasibility problem as well as the two-set split feasibility problem. In this paper, we will review and report some recent results on iterative approaches to the multiple-set split feasibility problem.http://dx.doi.org/10.1155/2012/927530
spellingShingle Yonghong Yao
Rudong Chen
Giuseppe Marino
Yeong Cheng Liou
Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
Journal of Applied Mathematics
title Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
title_full Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
title_fullStr Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
title_full_unstemmed Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
title_short Applications of Fixed-Point and Optimization Methods to the Multiple-Set Split Feasibility Problem
title_sort applications of fixed point and optimization methods to the multiple set split feasibility problem
url http://dx.doi.org/10.1155/2012/927530
work_keys_str_mv AT yonghongyao applicationsoffixedpointandoptimizationmethodstothemultiplesetsplitfeasibilityproblem
AT rudongchen applicationsoffixedpointandoptimizationmethodstothemultiplesetsplitfeasibilityproblem
AT giuseppemarino applicationsoffixedpointandoptimizationmethodstothemultiplesetsplitfeasibilityproblem
AT yeongchengliou applicationsoffixedpointandoptimizationmethodstothemultiplesetsplitfeasibilityproblem