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Pre-Conditioning CQ Algorithm for Solving the Split Feasibility Problem and Its Application to Image Restoration Problem

dc.contributor.author Altiparmak, Ebru
dc.contributor.author Jolaoso, Lateef Olakunle
dc.contributor.author Karahan, Ibrahim
dc.contributor.author Rehman, Habib ur
dc.date.accessioned 2026-03-26T14:59:07Z
dc.date.available 2026-03-26T14:59:07Z
dc.date.issued 2025
dc.description Jolaoso, Lateef/0000-0002-4838-7465; en_US
dc.description.abstract In this study, we define two pre-conditioning CQ algorithms for the split feasibility problem by using self-adaptive and line-search techniques in the real Hilbert space. One of the self-adaptive techniques is used to obtain optimal step size. These techniques do not require prior knowledge of the operator norm or estimation of the matrix norm. We also establish weak convergence theorems with respect to particular norms. As an application, numerical experiments show that the proposed algorithm is effective in image restoration problem. en_US
dc.identifier.doi 10.1080/02331934.2024.2358412
dc.identifier.issn 0233-1934
dc.identifier.issn 1029-4945
dc.identifier.scopus 2-s2.0-85194742048
dc.identifier.uri https://doi.org/10.1080/02331934.2024.2358412
dc.identifier.uri https://hdl.handle.net/20.500.14901/3226
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.ispartof Optimization en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Split Feasibility Problem en_US
dc.subject Image Restoration Problem en_US
dc.subject Pre-Conditioning CQ Algorithm en_US
dc.subject Line Search Technique en_US
dc.subject Self-Adaptive Technique en_US
dc.title Pre-Conditioning CQ Algorithm for Solving the Split Feasibility Problem and Its Application to Image Restoration Problem en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Jolaoso, Lateef/0000-0002-4838-7465
gdc.author.scopusid 57223239388
gdc.author.scopusid 57200216233
gdc.author.scopusid 57103191700
gdc.author.scopusid 57208596676
gdc.author.wosid Jolaoso, Lateef/Aae-7698-2019
gdc.author.wosid Rehman, Habib/Aaj-3755-2020
gdc.description.department Erzurum Technical University en_US
gdc.description.departmenttemp [Altiparmak, Ebru; Karahan, Ibrahim] Erzurum Tech Univ, Fac Sci, Dept Math, Erzurum, Turkiye; [Jolaoso, Lateef Olakunle] Univ Southampton, Sch Math Sci, Southampton, England; [Jolaoso, Lateef Olakunle] Sefako Makgatho Hlth Sci Univ, Dept Math & Appl Math, Pretoria, South Africa; [Rehman, Habib ur] Zhejiang Normal Univ, Dept Math, Jinhua, Peoples R China en_US
gdc.description.endpage 3141 en_US
gdc.description.issue 13 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 3123 en_US
gdc.description.volume 74 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.wos WOS:001235423600001
gdc.virtual.author Karahan, İbrahim
gdc.virtual.author Altıparmak Yangal, Ebru
relation.isAuthorOfPublication c2acfa48-77d0-478c-a4c7-da969bfbb758
relation.isAuthorOfPublication 8627304b-8ad8-41e7-8027-af4d2c77554a
relation.isAuthorOfPublication.latestForDiscovery c2acfa48-77d0-478c-a4c7-da969bfbb758

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