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This article is cited in 1 scientific paper (total in 1 paper)
Computational Mathematics
Numerical algorithm for finding a solution to a nonlinear filtration mathematical model with a random Showalter–Sidorov initial condition
K. V. Perevozchikovaa, N. A. Manakovaa, O. V. Gavrilovaa, I. M. Manakovb a South Ural State University, Chelyabinsk, Russian Federation
b ITMO University, Saint Petersburg, Russian Federation
Abstract:
The article is devoted to the study of a nonlinear model of fluid filtration based on the stochastic Oskolkov equation. It is assumed that the experimental initial data is affected by "noise", which leads to the study of a stochastic model with the Nelson–Glicklich derivative. Sufficient conditions for the existence of solutions of the investigated model with the initial Showalter-Sidorov condition are constructed. An algorithm for the numerical solution method is constructed and a computational experiment is presented.
Keywords:
Sobolev type equations, stochastic model of nonlinear filtration, Nelson–Glicklich derivative.
Received: 15.03.2022
Citation:
K. V. Perevozchikova, N. A. Manakova, O. V. Gavrilova, I. M. Manakov, “Numerical algorithm for finding a solution to a nonlinear filtration mathematical model with a random Showalter–Sidorov initial condition”, J. Comp. Eng. Math., 9:2 (2022), 39–51
Linking options:
https://www.mathnet.ru/eng/jcem214 https://www.mathnet.ru/eng/jcem/v9/i2/p39
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