Research output: Contribution to journal › Article › peer-review
Solving of the coefficient inverse problems for a nonlinear singularly perturbed reaction-diffusion-advection equation with the final time data. / Lukyanenko, D. V.; Shishlenin, M. A.; Volkov, V. T.
In: Communications in Nonlinear Science and Numerical Simulation, Vol. 54, 01.01.2018, p. 233-247.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Solving of the coefficient inverse problems for a nonlinear singularly perturbed reaction-diffusion-advection equation with the final time data
AU - Lukyanenko, D. V.
AU - Shishlenin, M. A.
AU - Volkov, V. T.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - We propose the numerical method for solving coefficient inverse problem for a nonlinear singularly perturbed reaction-diffusion-advection equation with the final time observation data based on the asymptotic analysis and the gradient method. Asymptotic analysis allows us to extract a priory information about interior layer (moving front), which appears in the direct problem, and boundary layers, which appear in the conjugate problem. We describe and implement the method of constructing a dynamically adapted mesh based on this a priory information. The dynamically adapted mesh significantly reduces the complexity of the numerical calculations and improve the numerical stability in comparison with the usual approaches. Numerical example shows the effectiveness of the proposed method.
AB - We propose the numerical method for solving coefficient inverse problem for a nonlinear singularly perturbed reaction-diffusion-advection equation with the final time observation data based on the asymptotic analysis and the gradient method. Asymptotic analysis allows us to extract a priory information about interior layer (moving front), which appears in the direct problem, and boundary layers, which appear in the conjugate problem. We describe and implement the method of constructing a dynamically adapted mesh based on this a priory information. The dynamically adapted mesh significantly reduces the complexity of the numerical calculations and improve the numerical stability in comparison with the usual approaches. Numerical example shows the effectiveness of the proposed method.
KW - Coefficient inverse problem
KW - Dynamically adapted mesh
KW - Final time observed data
KW - Interior and boundary layers
KW - Reaction-diffusion-advection equation
KW - Singularly perturbed problem
KW - BURGERS-EQUATION
UR - http://www.scopus.com/inward/record.url?scp=85020420501&partnerID=8YFLogxK
U2 - 10.1016/j.cnsns.2017.06.002
DO - 10.1016/j.cnsns.2017.06.002
M3 - Article
AN - SCOPUS:85020420501
VL - 54
SP - 233
EP - 247
JO - Communications in Nonlinear Science and Numerical Simulation
JF - Communications in Nonlinear Science and Numerical Simulation
SN - 1007-5704
ER -
ID: 12100575