Finite-difference method for parameterized singularly perturbed problem.
Amiraliyev, G.M., Kudu, Mustafa, Duru, Hakki (2004)
Journal of Applied Mathematics
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Amiraliyev, G.M., Kudu, Mustafa, Duru, Hakki (2004)
Journal of Applied Mathematics
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c. Grossmann (1994)
Banach Center Publications
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Çakır, Musa, Amiraliyev, Gabil M. (2010)
Journal of Applied Mathematics
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Vinod Kumar, Rajesh Bawa, Arvind Lal (2014)
International Journal of Applied Mathematics and Computer Science
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Vinod Kumar, Rajesh Bawa, Arvind Lal (2014)
International Journal of Applied Mathematics and Computer Science
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Gavrilyuk, I.P., Hermann, M., Kutniv, M.V., Makarov, V.L. (2006)
Advances in Difference Equations [electronic only]
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Eugene O’Riordan (2012)
Open Mathematics
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In this paper, we examine a particular class of singularly perturbed convection-diffusion problems with a discontinuous coefficient of the convective term. The presence of a discontinuous convective coefficient generates a solution which mimics flow moving in opposing directions either side of some flow source. A particular transmission condition is imposed to ensure that the differential operator is stable. A piecewise-uniform Shishkin mesh is combined with a monotone finite difference...
Boglaev, Igor, Hardy, Matthew (2006)
Advances in Difference Equations [electronic only]
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Ta Van Dinh (1982)
Aplikace matematiky
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The author proves the existence of the multi-parameter asymptotic error expansion to the usual five-point difference scheme for Dirichlet problems for the linear and semilinear elliptic PDE on the so-called uniform and nearly uniform domains. This expansion leads, by Richardson extrapolation, to a simple process for accelerating the convergence of the method. A numerical example is given.
Hans-Görg Roos (1989)
Aplikace matematiky
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The paper deals with uniformly enclosing discretization methods of the first order for semilinear boundary value problems. Some fundamental properties of this discretization technique (the enclosing property, convergence, the inverse-monotonicity) are proved. A feedback grid generation principle using information from the lower and upper solutions is presented.