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Preconditioning methods based on spanning tree algorithms. / Perevozkin, D. V.; Omarova, G. A.

In: Journal of Physics: Conference Series, Vol. 1715, No. 1, 012005, 04.01.2021.

Research output: Contribution to journalConference articlepeer-review

Harvard

Perevozkin, DV & Omarova, GA 2021, 'Preconditioning methods based on spanning tree algorithms', Journal of Physics: Conference Series, vol. 1715, no. 1, 012005. https://doi.org/10.1088/1742-6596/1715/1/012005

APA

Perevozkin, D. V., & Omarova, G. A. (2021). Preconditioning methods based on spanning tree algorithms. Journal of Physics: Conference Series, 1715(1), [012005]. https://doi.org/10.1088/1742-6596/1715/1/012005

Vancouver

Perevozkin DV, Omarova GA. Preconditioning methods based on spanning tree algorithms. Journal of Physics: Conference Series. 2021 Jan 4;1715(1):012005. doi: 10.1088/1742-6596/1715/1/012005

Author

Perevozkin, D. V. ; Omarova, G. A. / Preconditioning methods based on spanning tree algorithms. In: Journal of Physics: Conference Series. 2021 ; Vol. 1715, No. 1.

BibTeX

@article{4d9c3cda059240b7881742e48b6a5a3c,
title = "Preconditioning methods based on spanning tree algorithms",
abstract = "The work continues the research performed by Chen and Toledo as a follow-up to Vaidya's talk. The preconditioners being discussed are based on spanning tree algorithms where the input is the graph arising from the matrix of the system of linear algebraic equations (SLAE). The methods are considered in application to solving various SLAEs with real symmetric and non-symmetric matrices. The research shows that the application area of the preconditioners in question may significantly differ from the domain indicated in the literature.",
author = "Perevozkin, {D. V.} and Omarova, {G. A.}",
note = "Publisher Copyright: {\textcopyright} 2021 Institute of Physics Publishing. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; International Conference on Marchuk Scientific Readings 2020, MSR 2020 ; Conference date: 19-10-2020 Through 23-10-2020",
year = "2021",
month = jan,
day = "4",
doi = "10.1088/1742-6596/1715/1/012005",
language = "English",
volume = "1715",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Preconditioning methods based on spanning tree algorithms

AU - Perevozkin, D. V.

AU - Omarova, G. A.

N1 - Publisher Copyright: © 2021 Institute of Physics Publishing. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/1/4

Y1 - 2021/1/4

N2 - The work continues the research performed by Chen and Toledo as a follow-up to Vaidya's talk. The preconditioners being discussed are based on spanning tree algorithms where the input is the graph arising from the matrix of the system of linear algebraic equations (SLAE). The methods are considered in application to solving various SLAEs with real symmetric and non-symmetric matrices. The research shows that the application area of the preconditioners in question may significantly differ from the domain indicated in the literature.

AB - The work continues the research performed by Chen and Toledo as a follow-up to Vaidya's talk. The preconditioners being discussed are based on spanning tree algorithms where the input is the graph arising from the matrix of the system of linear algebraic equations (SLAE). The methods are considered in application to solving various SLAEs with real symmetric and non-symmetric matrices. The research shows that the application area of the preconditioners in question may significantly differ from the domain indicated in the literature.

UR - http://www.scopus.com/inward/record.url?scp=85100820671&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1715/1/012005

DO - 10.1088/1742-6596/1715/1/012005

M3 - Conference article

AN - SCOPUS:85100820671

VL - 1715

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012005

T2 - International Conference on Marchuk Scientific Readings 2020, MSR 2020

Y2 - 19 October 2020 through 23 October 2020

ER -

ID: 27880583