Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem

In this paper, we study an iterative method for solving the multiple-set split feasibility problem: find a point in the intersection of a finite family of closed convex sets in one space such that its image under a linear transformation belongs to the intersection of another finite family of closed...

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Main Authors: Guash Haile Taddele, Poom Kumam, Anteneh Getachew Gebrie, Kanokwan Sitthithakerngkiet
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/25/3/47
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author Guash Haile Taddele
Poom Kumam
Anteneh Getachew Gebrie
Kanokwan Sitthithakerngkiet
author_facet Guash Haile Taddele
Poom Kumam
Anteneh Getachew Gebrie
Kanokwan Sitthithakerngkiet
author_sort Guash Haile Taddele
collection DOAJ
description In this paper, we study an iterative method for solving the multiple-set split feasibility problem: find a point in the intersection of a finite family of closed convex sets in one space such that its image under a linear transformation belongs to the intersection of another finite family of closed convex sets in the image space. In our result, we obtain a strongly convergent algorithm by relaxing the closed convex sets to half-spaces, using the projection onto those half-spaces and by introducing the extended form of selecting step sizes used in a relaxed CQ algorithm for solving the split feasibility problem. We also give several numerical examples for illustrating the efficiency and implementation of our algorithm in comparison with existing algorithms in the literature.
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spelling doaj.art-25d62dbd57b6473b8c785f322453d7202023-11-20T07:51:14ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472020-07-012534710.3390/mca25030047Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility ProblemGuash Haile Taddele0Poom Kumam1Anteneh Getachew Gebrie2Kanokwan Sitthithakerngkiet3Department of Mathematics, King Mongkut’s University of Technology Thonburi, Bangkok 10140, ThailandDepartment of Mathematics, King Mongkut’s University of Technology Thonburi, Bangkok 10140, ThailandDepartment of Mathematics, College of Computational and Natural Science, Debre Berhan University, Debre Berhan P.O. Box 445, EthiopiaIntelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok (KMUTNB), Wongsawang, Bangsue, Bangkok 10800, ThailandIn this paper, we study an iterative method for solving the multiple-set split feasibility problem: find a point in the intersection of a finite family of closed convex sets in one space such that its image under a linear transformation belongs to the intersection of another finite family of closed convex sets in the image space. In our result, we obtain a strongly convergent algorithm by relaxing the closed convex sets to half-spaces, using the projection onto those half-spaces and by introducing the extended form of selecting step sizes used in a relaxed CQ algorithm for solving the split feasibility problem. We also give several numerical examples for illustrating the efficiency and implementation of our algorithm in comparison with existing algorithms in the literature.https://www.mdpi.com/2297-8747/25/3/47multiple-set split feasibility problemrelaxed CQ algorithmsubdifferentialstrong convergenceHilbert space
spellingShingle Guash Haile Taddele
Poom Kumam
Anteneh Getachew Gebrie
Kanokwan Sitthithakerngkiet
Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
Mathematical and Computational Applications
multiple-set split feasibility problem
relaxed CQ algorithm
subdifferential
strong convergence
Hilbert space
title Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
title_full Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
title_fullStr Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
title_full_unstemmed Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
title_short Half-Space Relaxation Projection Method for Solving Multiple-Set Split Feasibility Problem
title_sort half space relaxation projection method for solving multiple set split feasibility problem
topic multiple-set split feasibility problem
relaxed CQ algorithm
subdifferential
strong convergence
Hilbert space
url https://www.mdpi.com/2297-8747/25/3/47
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AT kanokwansitthithakerngkiet halfspacerelaxationprojectionmethodforsolvingmultiplesetsplitfeasibilityproblem