2018
DOI: 10.1007/s13160-018-0325-9
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Error analysis of Crouzeix–Raviart and Raviart–Thomas finite element methods

Abstract: We discuss the error analysis of the lowest degree Crouzeix-Raviart and Raviart-Thomas finite element methods applied to a two-dimensional Poisson equation. To obtain error estimations, we use the techniques developed by Babuška-Aziz and the authors. We present error estimates in terms of the circumradius and diameter of triangles in which the constants are independent of the geometric properties of the triangulations. Numerical experiments confirm the results obtained.

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Cited by 6 publications
(3 citation statements)
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“…However, the maximum-angle condition is not necessarily needed to obtain error estimates. Recently, in the two-dimensional instance, the CR finite-element analysis of the non-homogeneous Dirichlet-Poisson problem has been investigated under a more relaxed mesh condition, [18]. The present paper extends previous research to a three-dimensional setting.…”
Section: Introductionmentioning
confidence: 59%
“…However, the maximum-angle condition is not necessarily needed to obtain error estimates. Recently, in the two-dimensional instance, the CR finite-element analysis of the non-homogeneous Dirichlet-Poisson problem has been investigated under a more relaxed mesh condition, [18]. The present paper extends previous research to a three-dimensional setting.…”
Section: Introductionmentioning
confidence: 59%
“…where l 1 ≤ l 2 ≤ • • • ≤ h T are the lengths of the edges of T . As has been seen in [8,9,10,11,12,13], R T is an important parameter in measuring interpolation errors on d-simplices. For example, the errors of Lagrange interpolation on T are bounded in terms of R T , as presented by (5.10) and (5.11).…”
Section: Meshes Of ωmentioning
confidence: 99%
“…Meanwhile, in [16], the lowest-order Raviart-Thomas interpolation error analysis under a condition weaker than the maximum-angle condition was introduced in the two-dimensional case. The analysis was based on the technique of Babuska and Aziz [4].…”
Section: Introductionmentioning
confidence: 99%