A Hager–Zhang Riemannian conjugate gradient method for matrix approximation.
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| Title: | A Hager–Zhang Riemannian conjugate gradient method for matrix approximation. |
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| Authors: | Salihu, Nasiru1 (AUTHOR), Siamakani, Seyed Yaser Mousavi2 (AUTHOR) yaser.m@rsu.ac.th, Abubakar, Auwal Bala3,4,5,6 (AUTHOR) ababubakar.mth@buk.edu.ng, Saleh, Also Mohammed7 (AUTHOR) |
| Source: | AIMS Mathematics. 2026, Vol. 11 Issue 5, p1-26. 26p. |
| Database: | Mathematics Source |
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| Header | DbId: msf DbLabel: Mathematics Source An: 194376152 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=194376152 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Titles: – TitleFull: A Hager–Zhang Riemannian conjugate gradient method for matrix approximation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Salihu, Nasiru – PersonEntity: Name: NameFull: Siamakani, Seyed Yaser Mousavi – PersonEntity: Name: NameFull: Abubakar, Auwal Bala – PersonEntity: Name: NameFull: Saleh, Also Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 24736988 Numbering: – Type: volume Value: 11 – Type: issue Value: 5 Titles: – TitleFull: AIMS Mathematics Type: main |
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