An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem

The multiple-sets split equality problem (MSSEP) requires finding a point x∈∩i=1NCi, y∈∩j=1MQj such that Ax=By, where N and M are positive integers, {C1,C2,…,CN} and {Q1,Q2,…,QM} are closed convex subsets of Hilbert spaces H1, H2, respectively, and A:H1→H3,...

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Main Authors: Luoyi Shi, Ru Dong Chen, Yu Jing Wu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/620813
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author Luoyi Shi
Ru Dong Chen
Yu Jing Wu
author_facet Luoyi Shi
Ru Dong Chen
Yu Jing Wu
author_sort Luoyi Shi
collection DOAJ
description The multiple-sets split equality problem (MSSEP) requires finding a point x∈∩i=1NCi, y∈∩j=1MQj such that Ax=By, where N and M are positive integers, {C1,C2,…,CN} and {Q1,Q2,…,QM} are closed convex subsets of Hilbert spaces H1, H2, respectively, and A:H1→H3, B:H2→H3 are two bounded linear operators. When N=M=1, the MSSEP is called the split equality problem (SEP). If  B=I, then the MSSEP and SEP reduce to the well-known multiple-sets split feasibility problem (MSSFP) and split feasibility problem (SFP), respectively. One of the purposes of this paper is to introduce an iterative algorithm to solve the SEP and MSSEP in the framework of infinite-dimensional Hilbert spaces under some more mild conditions for the iterative coefficient.
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series Abstract and Applied Analysis
spelling doaj-art-331309d847a147ddae069cc94829ca2c2025-08-20T03:55:22ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/620813620813An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality ProblemLuoyi Shi0Ru Dong Chen1Yu Jing Wu2Department of Mathematics, Tianjin Polytechnic University, Tianjin 300387, ChinaDepartment of Mathematics, Tianjin Polytechnic University, Tianjin 300387, ChinaTianjin Vocational Institute, Tianjin 300410, ChinaThe multiple-sets split equality problem (MSSEP) requires finding a point x∈∩i=1NCi, y∈∩j=1MQj such that Ax=By, where N and M are positive integers, {C1,C2,…,CN} and {Q1,Q2,…,QM} are closed convex subsets of Hilbert spaces H1, H2, respectively, and A:H1→H3, B:H2→H3 are two bounded linear operators. When N=M=1, the MSSEP is called the split equality problem (SEP). If  B=I, then the MSSEP and SEP reduce to the well-known multiple-sets split feasibility problem (MSSFP) and split feasibility problem (SFP), respectively. One of the purposes of this paper is to introduce an iterative algorithm to solve the SEP and MSSEP in the framework of infinite-dimensional Hilbert spaces under some more mild conditions for the iterative coefficient.http://dx.doi.org/10.1155/2014/620813
spellingShingle Luoyi Shi
Ru Dong Chen
Yu Jing Wu
An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
Abstract and Applied Analysis
title An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
title_full An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
title_fullStr An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
title_full_unstemmed An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
title_short An Iterative Algorithm for the Split Equality and Multiple-Sets Split Equality Problem
title_sort iterative algorithm for the split equality and multiple sets split equality problem
url http://dx.doi.org/10.1155/2014/620813
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