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Application of the Fast Automatic Differentiation Technique for Solving Inverse Coefficient Problems

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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.

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Funding

This work was supported in part by the Russian Science Foundation, project no. 20-11-20081.

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Authors and Affiliations

  1. Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control,” Russian Academy of Sciences, 119333, Moscow, Russia

    A. F. Albu, Yu. G. Evtushenko & V. I. Zubov

  2. Moscow Institute of Physics and Technology (State University), 141701, Dolgoprudnyi, Moscow oblast, Russia

    A. F. Albu, Yu. G. Evtushenko & V. I. Zubov

Authors
  1. A. F. Albu
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  2. Yu. G. Evtushenko
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  3. V. I. Zubov
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Corresponding author

Correspondence to V. I. Zubov.

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Translated by I. Ruzanova

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Albu, A.F., Evtushenko, Y.G. & Zubov, V.I. Application of the Fast Automatic Differentiation Technique for Solving Inverse Coefficient Problems. Comput. Math. and Math. Phys. 60, 15–25 (2020). https://doi.org/10.1134/S0965542520010042

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  • DOI: https://doi.org/10.1134/S0965542520010042

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