From a Geometrical Interpretation of Bramble-Hilbert Lemma to a Probability Distribution for Finite Element Accuracy

Joel Chaskalovic, Franck Assous

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The aim of this paper is to provide new perspectives on relative finite element accuracy which is usually based on the asymptotic speed of convergence comparison when the mesh size h goes to zero. Starting from a geometrical reading of the error estimate due to Bramble-Hilbert lemma, we derive two probability distributions that estimate the relative accuracy, considered as a random variable, between two Lagrange finite elements P:k and P:m, (k < m ). We establish mathematical properties of these probabilistic distributions and we get new insights which, among others, show that P:k or P:m is more likely accurate than the other, depending on the value of the mesh size h.

Original languageEnglish
Title of host publicationFinite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers
EditorsIvan Dimov, István Faragó, Lubin Vulkov
Pages3-14
Number of pages12
DOIs
StatePublished - 2019
Event7th International Conference on Finite Difference Methods, FDM 2018 - Lozenetz, Bulgaria
Duration: 11 Jun 201816 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11386 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Finite Difference Methods, FDM 2018
Country/TerritoryBulgaria
CityLozenetz
Period11/06/1816/06/18

Keywords

  • Bramble-Hilbert lemma
  • Error estimates
  • Finite elements
  • Probability

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