2011
DOI: 10.1090/s0025-5718-2011-02526-3
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Galerkin and streamline diffusion finite element methods on a Shishkin mesh for a convection-diffusion problem with corner singularities

Abstract: Abstract. An error analysis of Galerkin and streamline diffusion finite element methods for the numerical solution of a singularly perturbed convectiondiffusion problem is given. The problem domain is the unit square. The solution contains boundary layers and corner singularities. A tensor product Shishkin mesh is used, with piecewise bilinear trial functions. The error bounds are uniform in the singular perturbation parameter. Numerical results supporting the theory are given.

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Cited by 15 publications
(8 citation statements)
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“…Observe that since ϕ h (x J−1 ) = 0 for ϕ h not proportional to ϕ J−1 , and recalling how we defined α * in (14), equation (16) is similar to (7)(8), and then, the leastsquares problem (15) is the way of finding the value α hopefully close to α * . Notice also that the restriction (16) is, in fact, a set of as many independent restrictions as interior nodes or nodal basis functions in V h .…”
Section: The One-dimensional Casementioning
confidence: 99%
See 1 more Smart Citation
“…Observe that since ϕ h (x J−1 ) = 0 for ϕ h not proportional to ϕ J−1 , and recalling how we defined α * in (14), equation (16) is similar to (7)(8), and then, the leastsquares problem (15) is the way of finding the value α hopefully close to α * . Notice also that the restriction (16) is, in fact, a set of as many independent restrictions as interior nodes or nodal basis functions in V h .…”
Section: The One-dimensional Casementioning
confidence: 99%
“…Among these we cite Shishkin meshes (described below) [31], [37], which have received considerable attention in recent years [14], [15], [16], [28], [32], [33] [39], [43] and [47]. However, it is generally acknowledged that the main drawback of Shishkin meshes is the difficulty to design them on domains with nontrivial geometries, although some works overcoming this difficulty can be found in the literature [46], [28].…”
Section: Introductionmentioning
confidence: 99%
“…For time‐dependent problems, we use the SD method discrete only in space variables and the finite difference discrete in time direction to derive the finite difference streamline diffusion (FDSD) method . This method keeps the essential aspect of the original SD method and simplifies the algorithm structure . However, the SD/FDSD methods have some undesirable features: introducing additional nonphysical coupling terms between velocity and pressure; producing inaccurate numerical solutions near the boundary; having to calculate second derivative when using high order elements.…”
Section: Introductionmentioning
confidence: 99%
“…Among them, the streamline diffusion finite element method (SDFEM) [7] combined with the Shishkin mesh [14] presents good numerical performances and has been widely studied, see [17,5,3,18].…”
Section: Introductionmentioning
confidence: 99%