2014
DOI: 10.3846/13926292.2014.910562
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On Construction and Analysis of Finite Difference Schemes for Pseudoparabolic Problems With Nonlocal Boundary Conditions

Abstract: In this paper the one-and two-dimensional pseudoparabolic equations with nonlocal boundary conditions are approximated by the Euler finite difference scheme. In the case of classical boundary conditions the stability of all schemes is investigated by the spectral method. Stability regions of finite difference schemes approximating pseudoparabolic problem are compared with the stability regions of the classical discrete parabolic problem. These results are generalized for problems with nonlocal boundary conditi… Show more

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Cited by 10 publications
(21 citation statements)
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“…Here we apply the same stability analysis template as in [5,7]. The main idea is to split the stability analysis of the given differential equation (or time integration method) and the analysis of a structure of the spectrum for a specified discrete operator with various nonlocal boundary conditions.…”
Section: The Methodology Of Stability Analysismentioning
confidence: 99%
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“…Here we apply the same stability analysis template as in [5,7]. The main idea is to split the stability analysis of the given differential equation (or time integration method) and the analysis of a structure of the spectrum for a specified discrete operator with various nonlocal boundary conditions.…”
Section: The Methodology Of Stability Analysismentioning
confidence: 99%
“…The stability analysis of parabolic and pseudoparabolic problems with nonlocal boundary conditions is done by various methods. A short review of these methods is presented in [7].…”
Section: Introductionmentioning
confidence: 99%
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“…Two classes of integration methods are investigated. First, we use stability results obtained in [1], where unconditionally stable approximations of the pseudoparabolic problem were constructed only using the full approximation backward Euler method. Therefore this method is also used to construct parallel algorithms.…”
Section: Introductionmentioning
confidence: 99%