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.
“…(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%
“…In a previous study [15] we determined that for the following choice of coefficients, PG approximation (15) yields an 0 ( h 4 ) difference approximation to (13) at each interior grid point x,. Accordingly, introducing (16) into (15) and integrating, we obtain the 0 ( h 4 ) CHOFE approximation…”
Section: A Constant Convective Coefficientmentioning
confidence: 99%
“…(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: In this study we restrict our attention to the Dirichlet problem.…”
Section: Extensions To Two Dimensionsmentioning
confidence: 99%
“…Exact and linear Galerkin finite-element solutions to the homogeneous 1D convec-B. Variable Convective CoefficientFor problems involving variable c ( x ) , we employ a slightly nonstandard treatment of the integrand in(15) by treating coefficients a l : ( x ) , a , ( x ) , and p x ( x )as local constants evaluated at each x i . That is, tion-diffusion problem.Exact and compact high-order finite-element solutions to the homogeneous 1D convec-…”
We present a new conforming bilinear Petrov-Galerkin finite-element scheme for elliptic transport problems with variable coefficients. This scheme combines a generalized test function and artificial diffusion to achieve O(h4) grid-point accuracy on uniform stencils of 3 X 3 in two dimensions without resorting to the extended stencils of high-order elements. The method is compared with upwind and high-order finite-difference schemes and the standard Galerkin finite-element method for representative test problems.
“…(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%
“…In a previous study [15] we determined that for the following choice of coefficients, PG approximation (15) yields an 0 ( h 4 ) difference approximation to (13) at each interior grid point x,. Accordingly, introducing (16) into (15) and integrating, we obtain the 0 ( h 4 ) CHOFE approximation…”
Section: A Constant Convective Coefficientmentioning
confidence: 99%
“…(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: In this study we restrict our attention to the Dirichlet problem.…”
Section: Extensions To Two Dimensionsmentioning
confidence: 99%
“…Exact and linear Galerkin finite-element solutions to the homogeneous 1D convec-B. Variable Convective CoefficientFor problems involving variable c ( x ) , we employ a slightly nonstandard treatment of the integrand in(15) by treating coefficients a l : ( x ) , a , ( x ) , and p x ( x )as local constants evaluated at each x i . That is, tion-diffusion problem.Exact and compact high-order finite-element solutions to the homogeneous 1D convec-…”
We present a new conforming bilinear Petrov-Galerkin finite-element scheme for elliptic transport problems with variable coefficients. This scheme combines a generalized test function and artificial diffusion to achieve O(h4) grid-point accuracy on uniform stencils of 3 X 3 in two dimensions without resorting to the extended stencils of high-order elements. The method is compared with upwind and high-order finite-difference schemes and the standard Galerkin finite-element method for representative test problems.
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