Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay

In this paper, approaches to the numerical recovering of the initial condition in the inverse problem for a nonlinear singularly perturbed reaction–diffusion–advection equation are considered. The feature of the formulation of the inverse problem is the use of additional information about the value...

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Main Authors: Dmitry Lukyanenko, Tatyana Yeleskina, Igor Prigorniy, Temur Isaev, Andrey Borzunov, Maxim Shishlenin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/4/342
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spelling doaj-7dcace8410d44985ac722f972dfefbe82021-02-10T00:04:12ZengMDPI AGMathematics2227-73902021-02-01934234210.3390/math9040342Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time DelayDmitry Lukyanenko0Tatyana Yeleskina1Igor Prigorniy2Temur Isaev3Andrey Borzunov4Maxim Shishlenin5Department of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, RussiaFaculty of Physics, Lomonosov Moscow State University, Baku Branch, Baku 1143, AzerbaijanDepartment of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, RussiaDepartment of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, RussiaDepartment of Mathematics, Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, RussiaInstitute of Computational Mathematics and Mathematical Geophysics of SB RAS, 630090 Novosibirsk, RussiaIn this paper, approaches to the numerical recovering of the initial condition in the inverse problem for a nonlinear singularly perturbed reaction–diffusion–advection equation are considered. The feature of the formulation of the inverse problem is the use of additional information about the value of the solution of the equation at the known position of a reaction front, measured experimentally with a delay relative to the initial moment of time. In this case, for the numerical solution of the inverse problem, the gradient method of minimizing the cost functional is applied. In the case when only the position of the reaction front is known, the method of deep machine learning is applied. Numerical experiments demonstrated the possibility of solving such kinds of considered inverse problems.https://www.mdpi.com/2227-7390/9/4/342inverse problem of recovering the initial conditionreaction–diffusion–advection equationinverse problem with data on the reaction front position
collection DOAJ
language English
format Article
sources DOAJ
author Dmitry Lukyanenko
Tatyana Yeleskina
Igor Prigorniy
Temur Isaev
Andrey Borzunov
Maxim Shishlenin
spellingShingle Dmitry Lukyanenko
Tatyana Yeleskina
Igor Prigorniy
Temur Isaev
Andrey Borzunov
Maxim Shishlenin
Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
Mathematics
inverse problem of recovering the initial condition
reaction–diffusion–advection equation
inverse problem with data on the reaction front position
author_facet Dmitry Lukyanenko
Tatyana Yeleskina
Igor Prigorniy
Temur Isaev
Andrey Borzunov
Maxim Shishlenin
author_sort Dmitry Lukyanenko
title Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
title_short Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
title_full Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
title_fullStr Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
title_full_unstemmed Inverse Problem of Recovering the Initial Condition for a Nonlinear Equation of the Reaction–Diffusion–Advection Type by Data Given on the Position of a Reaction Front with a Time Delay
title_sort inverse problem of recovering the initial condition for a nonlinear equation of the reaction–diffusion–advection type by data given on the position of a reaction front with a time delay
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-02-01
description In this paper, approaches to the numerical recovering of the initial condition in the inverse problem for a nonlinear singularly perturbed reaction–diffusion–advection equation are considered. The feature of the formulation of the inverse problem is the use of additional information about the value of the solution of the equation at the known position of a reaction front, measured experimentally with a delay relative to the initial moment of time. In this case, for the numerical solution of the inverse problem, the gradient method of minimizing the cost functional is applied. In the case when only the position of the reaction front is known, the method of deep machine learning is applied. Numerical experiments demonstrated the possibility of solving such kinds of considered inverse problems.
topic inverse problem of recovering the initial condition
reaction–diffusion–advection equation
inverse problem with data on the reaction front position
url https://www.mdpi.com/2227-7390/9/4/342
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