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This article is cited in 8 scientific papers (total in 8 papers)
Application of the fast automatic differentiation technique for solving inverse coefficient problems
A. F. Albuab, Yu. G. Evtushenkoab, V. I. Zubovab a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
Abstract:
Results obtained by the authors in solving inverse coefficient problems are overviewed. The inverse problem under consideration is to determine a temperature-dependent thermal conductivity coefficient from experimental observations of the temperature field in the studied substance and (or) the heat flux on the surface of the object. The study is based on the Dirichlet boundary value problem for the nonstationary heat equation stated in the general $n$-dimensional formulation. For this general case, an analytical expression for the cost functional gradient is obtained. The features of solving the inverse problem and the difficulties encountered in the solution process are discussed.
Key words:
heat conduction, inverse coefficient problems, gradient, heat equation, numerical algorithm.
Received: 18.06.2019 Revised: 18.06.2019 Accepted: 18.09.2019
Citation:
A. F. Albu, Yu. G. Evtushenko, V. I. Zubov, “Application of the fast automatic differentiation technique for solving inverse coefficient problems”, Zh. Vychisl. Mat. Mat. Fiz., 60:1 (2020), 18–28; Comput. Math. Math. Phys., 60:1 (2020), 15–25
Linking options:
https://www.mathnet.ru/eng/zvmmf11011 https://www.mathnet.ru/eng/zvmmf/v60/i1/p18
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Abstract page: | 142 | References: | 23 |
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