Numerical Determination of a Time-Dependent Boundary Condition for a Pseudoparabolic Equation from Integral Observation

The third-order pseudoparabolic equations represent models of filtration, the movement of moisture and salts in soils, heat and mass transfer, etc. Such non-classical equations are often referred to as Sobolev-type equations. We consider an inverse problem for identifying an unknown time-dependent boundary condition in a two-dimensional linear pseudoparabolic equation from integral-type measured output data. Using the integral measurements, we reduce the two-dimensional inverse problem to a one-dimensional problem. Then, we apply appropriate substitution to overcome the non-local nature of the problem. The inverse ill-posed problem is reformulated as a direct well-posed problem. The well-posedness of the direct and inverse problems is established. We develop a computational approach for recovering the solution and unknown boundary function. The results from numerical experiments are presented and discussed.

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Publication Details

Journal
Computation
Published
2024-12-11
DOI
https://doi.org/10.3390/computation12120243
Citations
4
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
3.56

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article

Numerical Determination of a Time-Dependent Boundary Condition for a Pseudoparabolic Equation from Integral Observation

Lubin G. Vulkov, Miglena N. Koleva
4 citations
Computation
Numerical methods in inverse problems
3.56
article

Numerical Determination of a Time-Dependent Boundary Condition for a Pseudoparabolic Equation from Integral Observation

Lubin G. Vulkov, Miglena N. Koleva
article en
4 citations

Abstract

The third-order pseudoparabolic equations represent models of filtration, the movement of moisture and salts in soils, heat and mass transfer, etc. Such non-classical equations are often referred to as Sobolev-type equations. We consider an inverse problem for identifying an unknown time-dependent boundary condition in a two-dimensional linear pseudoparabolic equation from integral-type measured output data. Using the integral measurements, we reduce the two-dimensional inverse problem to a one-dimensional problem. Then, we apply appropriate substitution to overcome the non-local nature of the problem. The inverse ill-posed problem is reformulated as a direct well-posed problem. The well-posedness of the direct and inverse problems is established. We develop a computational approach for recovering the solution and unknown boundary function. The results from numerical experiments are presented and discussed.

ComputationVol. 12(12)
Angel Kanchev University of Ruse (BG)
Bulgarian National Science Fund
Life in Land
Openalex Percentile: Top 6%
Numerical methods in inverse problems
3.56
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