Algebraic and algorithmic classification of matrix algorithms [electronic resourse]

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dc.contributor.authorMalaschonok, Gennadi
dc.date.accessioned2022-06-23T11:10:51Z
dc.date.available2022-06-23T11:10:51Z
dc.date.issued2021
dc.description.abstractDue to the growing size of the matrices used in applications, it is useful to carefully distinguish between some groups of matrix algorithms. We propose to use algebraic classi cation as the main way to group matrix algorithms. From an algorithmic point of view, we propose to highlight the class of block-recursive algorithms. These algorithms make it possible to ensure a uniform load of a computing cluster, to solve the problem of protecting against failure of its individual nodes, and, in addition, they have the complexity of matrix multiplication.en_US
dc.identifier.citationMalaschonok G. I., Algebraic and algorithmic classification of matrix algorithms [electronic resourse] / G. Malaschonok // Seminar on Computer Algebra of Faculty of Computational Mathematics and Cybernetics of MSU, and Computing Centre of RAS (March 30, 2021) - 43 slides.en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/23136
dc.language.isoenuk_UA
dc.relation.sourceSeminar on Computer Algebra of Faculty of Computational Mathematics and Cybernetics of MSU, and Computing Centre of RAS (March 30, 2021).en_US
dc.statusfirst publisheduk_UA
dc.subjectmatrixen_US
dc.subjectalgebraic and algorithmic classi cationen_US
dc.subjectmatrix algorithmsen_US
dc.subjectblock-recursive algorithmsen_US
dc.subjectmatrix multiplicationen_US
dc.subjectconference materialsen_US
dc.titleAlgebraic and algorithmic classification of matrix algorithms [electronic resourse]en_US
dc.typeConference materialsuk_UA
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