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Numerical Algorithm for Source Determination in a Diffusion–Logistic Model from Integral Data Based on Tensor Optimization Full article

Journal Computational Mathematics and Mathematical Physics
ISSN: 0965-5425 , E-ISSN: 1555-6662
Output data Year: 2023, Volume: 63, Number: 9, Pages: 1654–1663 Pages count : 10 DOI: 10.1134/S0965542523090166
Tags source determination problem, reaction–diffusion model, inverse problem, tensor optimization, regularization, gradient methods
Authors Zvonareva T.A. 1,2 , Kabanikhin S.I. 2,3 , Krivorotko O.I. 1,2,3
Affiliations
1 Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
2 Novosibirsk State University, Novosibirsk, 630090 Russia
3 Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia

Funding (2)

1 Министерство науки и высшего образования РФ
Mathematical Center in Akademgorodok
075-15-2019-1613, 075-15-2022-281
2 Russian Science Foundation 18-71-10044-P

Abstract: An algorithm has been developed for numerically solving the source determination problem in the model of information dissemination in synthetic online social networks, described by reactiondiffusion-type equations, using additional information about the process at fixed time points. The degree of ill-posedness of the source determination problem for a parabolic equation is studied based on the analysis of singular values of the linearized operator of the inverse problem. The algorithm developed is based on a combination of the tensor optimization method and gradient descent supplemented with the A.N. Tikhonov regularization. Numerical calculations demonstrate the smallest relative error in the reconstructed source obtained by the developed algorithm in comparison with classical approaches.
Cite: Zvonareva T.A. , Kabanikhin S.I. , Krivorotko O.I.
Numerical Algorithm for Source Determination in a Diffusion–Logistic Model from Integral Data Based on Tensor Optimization
Computational Mathematics and Mathematical Physics. 2023. V.63. N9. P.1654–1663. DOI: 10.1134/S0965542523090166 WOS Scopus РИНЦ OpenAlex
Original: Звонарева Т.А. , Кабанихин С.И. , Криворотько О.И.
Численный алгоритм определения источника диффузионно-логистической модели по данным интегрального типа, основанный на тензорной оптимизации
Журнал вычислительной математики и математической физики. 2023. Т.63. №9. С.1513-1523. DOI: 10.31857/S0044466923090193 РИНЦ MathNet OpenAlex
Dates:
Submitted: Sep 9, 2022
Accepted: May 29, 2023
Published print: Oct 13, 2023
Published online: Oct 13, 2023
Identifiers:
Web of science: WOS:001086856200006
Scopus: 2-s2.0-85174278544
Elibrary: 63490447
OpenAlex: W4387620262
Citing:
DB Citing
OpenAlex 3
Scopus 2
Web of science 1
Elibrary 1
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