2019
DOI: 10.1007/s10915-019-00937-y
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An Arbitrary-Order Discontinuous Galerkin Method with One Unknown Per Element

Abstract: We propose an arbitrary-order discontinuous Galerkin method for secondorder elliptic problem on general polygonal mesh with only one degree of freedom per element. This is achieved by locally solving a discrete least-squares over a neighboring element patch. Under a geometrical condition on the element patch, we prove an optimal a priori error estimates for the energy norm and for the L 2 norm. The accuracy and the efficiency of the method up to order six on several polygonal meshes are illustrated by a set of… Show more

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Cited by 33 publications
(94 citation statements)
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“…Under some mild and practical conditions on element patch S(K), Λ m could be bounded uniformly which plays a vital role in the convergence estimate. We refer to [21,20] for these conditions and more detailed discussion about the uniform upper bound. One of the conditions we shall note is that the number #S(K) shall be far greater than dim(P m ).…”
Section: Approximation Spacementioning
confidence: 99%
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“…Under some mild and practical conditions on element patch S(K), Λ m could be bounded uniformly which plays a vital role in the convergence estimate. We refer to [21,20] for these conditions and more detailed discussion about the uniform upper bound. One of the conditions we shall note is that the number #S(K) shall be far greater than dim(P m ).…”
Section: Approximation Spacementioning
confidence: 99%
“…In this paper, a new discontinuous least squares finite element method is proposed based on the stress-displacement formulation. The novel point is the new approximation space which is obtained by patch reconstruction with one unknown per element [20,21,19]. The new space could be regarded as a subspace of the common space used in discontinuous Galerkin finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…In this section, we follow the idea in [20,19] to define an approximation space using a patch reconstruction operator. Purposely, the reconstruction operator we propose here will use the irrotational basis, thus the approximation space obtained is piecewise rotation free.…”
Section: Approximation Space With Irrotational Basismentioning
confidence: 99%
“…We note that the existence of the solution to (11) is obvious but the uniqueness of the solution depends on the position of the sampling nodes in I K , here we follow [20] to state the following assumption:…”
Section: Approximation Space With Irrotational Basismentioning
confidence: 99%
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