An Interpolation Error Estimate on Anisotropic Meshes in ${\mathcalR}^{n}$ and Optimal Metrics for Mesh Refinement

2007 ◽  
Vol 45 (6) ◽  
pp. 2368-2391 ◽  
Author(s):  
Weiming Cao

2018 ◽  
Vol 9 (1) ◽  
pp. 29-36
Author(s):  
Gabriel Monzón

AbstractGeometric conditions on general polygons are given in [9] in order to guarantee the error estimate for interpolants built from generalized barycentric coordinates, and the question about identifying sharp geometric restrictions in this setting is proposed. In this work, we address the question when the construction is made by using Wachspress coordinates. We basically show that the imposed conditionsbounded aspect ratio property(barp),maximum angle condition(MAC) andminimum edge length property(melp) are actually equivalent to (MAC, melp), and if any of these conditions is not satisfied, then there is no guarantee that the error estimate is valid. In this sense, (MAC) and (melp) can be regarded as sharp geometric requirements in the Wachspress interpolation error estimate.



Author(s):  
Philippe Destuynder ◽  
Mohamed Jaoua ◽  
Hela Sellami

International audience A new interpolation error estimate for a finite element method for image processing is proved in this paper. The suggested scheme is based on the Raviart-Thomas one, extended to a non linear formulation. The numerical trials run confirm the accuracy of the restoration algorithm.





2020 ◽  
Vol 28 (2) ◽  
pp. 63-74
Author(s):  
Joël Chaskalovic ◽  
Franck Assous

AbstractThe aim of this paper is to provide new perspectives on the relative finite elements accuracy. Starting from a geometrical interpretation of the error estimate which can be deduced from Bramble–Hilbert lemma, we derive a probability law that evaluates the relative accuracy, considered as a random variable, between two finite elements Pk and Pm, k < m. We extend this probability law to get a cumulated probabilistic law for two main applications. The first one concerns a family of meshes, the second one is dedicated to a sequence of simplexes constituting a given mesh. Both of these applications could be considered as a first step toward application for adaptive mesh refinement with probabilistic methods.





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