An Algorithm for Recovering the Characteristics of the Initial State of Supernova Full article
Journal |
Computational Mathematics and Mathematical Physics
ISSN: 0965-5425 , E-ISSN: 1555-6662 |
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Output data | Year: 2020, Volume: 60, Number: 6, Pages: 1008-1016 Pages count : 9 DOI: 10.1134/S0965542520060135 | ||||||||
Tags | computational astrophysics; Godunov’s scheme; retrospective inverse problem; supernova | ||||||||
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Abstract:
Abstract: An optimization method for the numerical solution of the inverse problem of recovering the initial state of a supernova is proposed. The gradient of the inverse problem objective functional is constructed. The solution of the direct and adjoint problems is based on a combination of the large particle method, Godunov’s method, and piecewise parabolic method on a local stencil. Results of the verification of the proposed numerical method and the results of numerical solution of the Evrard and Sedov collapse problems are presented. © 2020, Pleiades Publishing, Ltd.
Cite:
Kabanikhin S.I.
, Kulikov I.M.
, Shishlenin M.A.
An Algorithm for Recovering the Characteristics of the Initial State of Supernova
Computational Mathematics and Mathematical Physics. 2020. V.60. N6. P.1008-1016. DOI: 10.1134/S0965542520060135 WOS Scopus OpenAlex
An Algorithm for Recovering the Characteristics of the Initial State of Supernova
Computational Mathematics and Mathematical Physics. 2020. V.60. N6. P.1008-1016. DOI: 10.1134/S0965542520060135 WOS Scopus OpenAlex
Identifiers:
Web of science: | WOS:000555591800008 |
Scopus: | 2-s2.0-85088999047 |
OpenAlex: | W3046538942 |