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This article is cited in 3 scientific papers (total in 3 papers)
An algorithm for source reconstruction in nonlinear shallow-water equations
S. I. Kabanikhinab, O. I. Krivorotkoab a Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
A numerical algorithm is proposed to solve the source reconstruction problem for a system of nonlinear shallow-water equations using the dynamics of water surface perturbation measured at a finite number of spatial points and/or over a part of the surface at a fixed time. The combined inverse problem under study is reduced to the minimization of an objective functional characterizing the quadratic deviation of simulated data from measured data (a misfit function). An explicit expression for the gradient of the misfit function is obtained. The direct and conjugate problems within the framework of shallow-water equations are solved by the finite volume method. The numerical results are analyzed and compared with experimental data.
Key words:
nonlinear shallow-water equations, finite volume method, inverse problem, source reconstruction, regularization, optimization, gradient of objective functional, conjugate gradient method.
Received: 05.03.2018
Citation:
S. I. Kabanikhin, O. I. Krivorotko, “An algorithm for source reconstruction in nonlinear shallow-water equations”, Zh. Vychisl. Mat. Mat. Fiz., 58:8 (2018), 138–147; Comput. Math. Math. Phys., 58:8 (2018), 1334–1343
Linking options:
https://www.mathnet.ru/eng/zvmmf10769 https://www.mathnet.ru/eng/zvmmf/v58/i8/p138
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Abstract page: | 282 | References: | 41 |
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