2017
DOI: 10.1515/amcs-2017-0037
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Accurate gradient computations at interfaces using finite element methods

Abstract: New finite element methods are proposed for elliptic interface problems in one and two dimensions. The main motivation is to get not only an accurate solution, but also an accurate first order derivative at the interface (from each side). The key in 1D is to use the idea of Wheeler (1974). For 2D interface problems, the point is to introduce a small tube near the interface and propose the gradient as part of unknowns, which is similar to a mixed finite element method, but only at the interface. Thus the comput… Show more

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Cited by 2 publications
(1 citation statement)
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References 26 publications
(39 reference statements)
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“…For IFEM, Chou et al introduced two special interpolation formulae to recover flux with high order accuracy for the one-dimensional linear and quadratic IFEM [15,16]. Moreover, Li and his collaborators recently proposed an augmented immersed interface method [41] and a new finite element method [51] to accurately compute the gradient of the solution to elliptic interface problems. In our recent work [20], we proposed an improved polynomial preserving recovery for elliptic interface problems based on a body-fitted mesh and proved the superconvergence on both mildly unstructured meshes and adaptively refined meshes.…”
Section: Introductionmentioning
confidence: 99%
“…For IFEM, Chou et al introduced two special interpolation formulae to recover flux with high order accuracy for the one-dimensional linear and quadratic IFEM [15,16]. Moreover, Li and his collaborators recently proposed an augmented immersed interface method [41] and a new finite element method [51] to accurately compute the gradient of the solution to elliptic interface problems. In our recent work [20], we proposed an improved polynomial preserving recovery for elliptic interface problems based on a body-fitted mesh and proved the superconvergence on both mildly unstructured meshes and adaptively refined meshes.…”
Section: Introductionmentioning
confidence: 99%