Research output: Contribution to journal › Article › peer-review
Recovering density and speed of sound coefficients in the 2d hyperbolic system of acoustic equations of the first order by a finite number of observations. / Klyuchinskiy, Dmitriy; Novikov, Nikita; Shishlenin, Maxim.
In: Mathematics, Vol. 9, No. 2, 199, 02.01.2021, p. 1-13.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Recovering density and speed of sound coefficients in the 2d hyperbolic system of acoustic equations of the first order by a finite number of observations
AU - Klyuchinskiy, Dmitriy
AU - Novikov, Nikita
AU - Shishlenin, Maxim
N1 - Funding Information: Funding: The work has been supported by the RSCF under grant 19-11-00154 “Developing of new mathematical models of acoustic tomography in medicine. Numerical methods, HPC and software”. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/2
Y1 - 2021/1/2
N2 - We consider the coefficient inverse problem for the first-order hyperbolic system, which describes the propagation of the 2D acoustic waves in a heterogeneous medium. We recover both the denstity of the medium and the speed of sound by using a finite number of data measurements. We use the second-order MUSCL-Hancock scheme to solve the direct and adjoint problems, and apply optimization scheme to the coefficient inverse problem. The obtained functional is minimized by using the gradient-based approach. We consider different variations of the method in order to obtain the better accuracy and stability of the appoach and present the results of numerical experiments.
AB - We consider the coefficient inverse problem for the first-order hyperbolic system, which describes the propagation of the 2D acoustic waves in a heterogeneous medium. We recover both the denstity of the medium and the speed of sound by using a finite number of data measurements. We use the second-order MUSCL-Hancock scheme to solve the direct and adjoint problems, and apply optimization scheme to the coefficient inverse problem. The obtained functional is minimized by using the gradient-based approach. We consider different variations of the method in order to obtain the better accuracy and stability of the appoach and present the results of numerical experiments.
KW - Acoustics
KW - Density reconstruction
KW - First-order hyperbolic system
KW - Godunov method
KW - Gradient descent method
KW - Inverse problem
KW - Speed of sound reconstruction
KW - Tomography
UR - http://www.scopus.com/inward/record.url?scp=85099859140&partnerID=8YFLogxK
U2 - 10.3390/math9020199
DO - 10.3390/math9020199
M3 - Article
AN - SCOPUS:85099859140
VL - 9
SP - 1
EP - 13
JO - Mathematics
JF - Mathematics
SN - 2227-7390
IS - 2
M1 - 199
ER -
ID: 27607547