Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation Научная публикация
Журнал |
SIAM Journal on Imaging Sciences
ISSN: 1936-4954 |
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Вых. Данные | Год: 2023, Том: 16, Номер: 3, Страницы: 1762-1790 Страниц : 29 DOI: 10.1137/23M1565449 | ||||||
Ключевые слова | geodesic lines, Riemannian metric, Carleman estimate, coefficient inverse problem, global convergence, convexification, numerical studies | ||||||
Авторы |
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Организации |
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Информация о финансировании (1)
1 | Институт математики им. С.Л. Соболева СО РАН | FWNF-2022-0009 |
Реферат:
The first globally convergent numerical method for a coefficient inverse problem for the Riemannian radiative transfer equation (RRTE) is constructed. This is a version of the so-called convexification method, which has been pursued by this research group for a number of years for some other CIPs for PDEs. Those PDEs are significantly different from the RRTE. The presence of the Carleman weight function in the numerical scheme is the key element which insures the global convergence. Convergence analysis is presented along with the results of numerical experiments, which confirm the theory. RRTE governs the propagation of photons in the diffuse medium in the case when they propagate along geodesic lines between their collisions. Geodesic lines are generated by the spatially variable dielectric constant of the medium.
Библиографическая ссылка:
Klibanov M.V.
, Li J.
, Nguyen L.H.
, Romanov V.
, Ya Z.
Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation
SIAM Journal on Imaging Sciences. 2023. V.16. N3. P.1762-1790. DOI: 10.1137/23M1565449 WOS Scopus РИНЦ OpenAlex
Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation
SIAM Journal on Imaging Sciences. 2023. V.16. N3. P.1762-1790. DOI: 10.1137/23M1565449 WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: | 13 апр. 2023 г. |
Принята к публикации: | 31 мая 2023 г. |
Опубликована в печати: | 29 авг. 2023 г. |
Опубликована online: | 29 авг. 2023 г. |
Идентификаторы БД:
Web of science: | WOS:001165602900002 |
Scopus: | 2-s2.0-85175641623 |
РИНЦ: | 63113720 |
OpenAlex: | W4386251050 |