1992
DOI: 10.1002/cnm.1630081205
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A higher‐order accurate Petrov–Galerkin finite‐element method for elliptic boundary‐value problems

Abstract: SUMMARYWe formulate a higher-order (superconvergent) Petrov-Galerkin method by determining, using a finitedifference approximation, the optimal selection of quadratic and cubic modifications to the standard linear test function for bilinear elements. Application of this method to linear elliptic problems results in improved accuracy and higher rates of convergence for problems with constant coefficients and improved accuracy for problems with variable coefficients. Supporting numerical examples are given.

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Cited by 2 publications
(5 citation statements)
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“…(7)- (9)J. This approach has previously been shown to yield superconvergent solutions to the special case of (1) where c and d are constants [15]. To achieve superconvergent approximations to problems involving variable c and d it is also necessary, as in the one-dimensional case, to do the following: (a) explicitly add artificial diffusion and (b) treat coefficients ukl, a m , and Pm as local constants evaluated at each grid point A straightforward extension of the previous one-dimensional analysis yields the follow-…”
Section: Extensions To Two Dimensionsmentioning
confidence: 94%
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“…(7)- (9)J. This approach has previously been shown to yield superconvergent solutions to the special case of (1) where c and d are constants [15]. To achieve superconvergent approximations to problems involving variable c and d it is also necessary, as in the one-dimensional case, to do the following: (a) explicitly add artificial diffusion and (b) treat coefficients ukl, a m , and Pm as local constants evaluated at each grid point A straightforward extension of the previous one-dimensional analysis yields the follow-…”
Section: Extensions To Two Dimensionsmentioning
confidence: 94%
“…( l l ) ] can be written from Eqs. (3)-(9) as We next examine the application of approximation (15) to problems involving constant and variable convective coefficient c.…”
Section: One-dimensional Formulationmentioning
confidence: 99%
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