2006
DOI: 10.1090/s0025-5718-06-01846-1
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Parameter-uniform finite difference schemes for singularly perturbed parabolic diffusion-convection-reaction problems

Abstract: Abstract. In this paper, parameter-uniform numerical methods for a class of singularly perturbed parabolic partial differential equations with two small parameters on a rectangular domain are studied. Parameter-explicit theoretical bounds on the derivatives of the solutions are derived. The solution is decomposed into a sum of regular and singular components. A numerical algorithm based on an upwind finite difference operator and an appropriate piecewise uniform mesh is constructed. Parameter-uniform error bou… Show more

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Cited by 70 publications
(45 citation statements)
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“…In such cases, the accuracy of the solution also decreases. At high speeds, numerical methods based on the separation of the flow direction and boundary layers should be used [12,13]. Our method is designed to solve problems with a relatively slow movements of the complex structure when the implementation of the scheme with the separation of the flow direction and boundary layers is difficult.…”
Section: Heat Transfer In the Microchipmentioning
confidence: 99%
“…In such cases, the accuracy of the solution also decreases. At high speeds, numerical methods based on the separation of the flow direction and boundary layers should be used [12,13]. Our method is designed to solve problems with a relatively slow movements of the complex structure when the implementation of the scheme with the separation of the flow direction and boundary layers is difficult.…”
Section: Heat Transfer In the Microchipmentioning
confidence: 99%
“…An appropriate layer-adapted mesh can be constructed based on the mesh given in [16] and a suitable fitted operator would be R(μā).…”
Section: Remarkmentioning
confidence: 99%
“…Parameter-uniform numerical methods have been analysed for the onedimensional two-parameter problem in [12][13][14]. In this paper, we extend these ideas to a two parameter problem in two space dimensions.…”
Section: Introductionmentioning
confidence: 99%