2019
DOI: 10.5604/01.3001.0013.0896
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Applied Quasipotential Method for Solving the Coefficient Problems of Parameter Identification of Anisotropic Media

Abstract: A numerical method of quasiconformal mappings for solving the coefficient problems of finding eigenvalues of the conductivity tensor having information about its directions in an anisotropic medium using applied quasipotential tomographic data is generalized. The corresponding algorithm is based on the alternate solving of problems on quasiconformal mappings and parameter identification. The results of numerical experiments of imitative restoration of environment structure are presented.

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Cited by 2 publications
(11 citation statements)
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“…Generation of initial data at the boundary of the investigated object is carried out in accordance with the polar model of current injection and a given sum of eigenvalues of the conductivity tensor of Introduction. As it is known [1][2][3][4][5], the image reconstruction of an isotropic conductivity coefficient that based on the applied quasipotential tomography (AQT) requires the imposition of a large number of conditions at the domain bound, and also the structure of the corresponding medium. It turns out that in the general case (in contrast to some specific [6]) of anisotropy, it is necessary to set much more information about the conductivity distribution for its parameter identification [1,[7][8][9][10][11][12].…”
Section: Numerical Complex Analysis Methods For Parameters Identificatmentioning
confidence: 99%
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“…Generation of initial data at the boundary of the investigated object is carried out in accordance with the polar model of current injection and a given sum of eigenvalues of the conductivity tensor of Introduction. As it is known [1][2][3][4][5], the image reconstruction of an isotropic conductivity coefficient that based on the applied quasipotential tomography (AQT) requires the imposition of a large number of conditions at the domain bound, and also the structure of the corresponding medium. It turns out that in the general case (in contrast to some specific [6]) of anisotropy, it is necessary to set much more information about the conductivity distribution for its parameter identification [1,[7][8][9][10][11][12].…”
Section: Numerical Complex Analysis Methods For Parameters Identificatmentioning
confidence: 99%
“…This, obviously, weakens the correctness of the problem in comparison with the isotropy. And, consequently, it requires (in comparison with, for example, [5]) the necessity of using a regularizing functional, in particular the Tikhonov type [1,3,4,9,11]. The ways to apply additional data about the conductivity tensor (CT), depending on the information type about it are proposed in a number of papers [6][7][8][9]12].…”
Section: Numerical Complex Analysis Methods For Parameters Identificatmentioning
confidence: 99%
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