2015 Computer Science and Information Technologies (CSIT) 2015
DOI: 10.1109/csitechnol.2015.7358269
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Numerical solution of nonlocal contact problems for elliptic equations

Abstract: The present work is devoted to the statement and analysis of one nonlocal contact problem for Poisson's equation in two-dimensional domain. For numerical solution the iteration process is constructed, which allows one to reduce the solution of the initial problem to the solution of a sequence of classical Dirichlet problems. The algorithm is suitable for parallel realization. The specific problem is considered as example and solved numerically by using Wolfram Mathematica.

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Cited by 4 publications
(3 citation statements)
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“…Φ k is defined from (15), and I − , I + -from ( 11) and ( 12), respectively. Thus, the following theorem is true.…”
Section: Considering the Boundary Conditions Amentioning
confidence: 99%
“…Φ k is defined from (15), and I − , I + -from ( 11) and ( 12), respectively. Thus, the following theorem is true.…”
Section: Considering the Boundary Conditions Amentioning
confidence: 99%
“…Pokornyi [21] studied the eigenfunctions of a particular problem on graphs with Dirichlet conditions at border nodes, as well as the spectrum and the impact of eigenvalue multiplicity. Using the double-sweep method, Gordeziani et al [22] provided a numerical way to solve ordinary differential equations on graphs, as well as an investigation of the existence and uniqueness results of these kinds of problems. Currie and Watson [23] provided asymptotic approximations for eigenvalues and examined the spectral structure of second-order boundary value problems on graphs.…”
Section: Introductionmentioning
confidence: 99%
“…In 1989, Zavgorodnij explored differential equations using a geometric net (see [26]), with the recommended solutions to boundary value problems placed at the inner vertices of the system. However, in [27], the authors used the double-sweep technique, which they discovered to be more effective on graphs, to obtain numerical solutions for differential equations.…”
Section: Introductionmentioning
confidence: 99%