TY - JOUR
T1 - A new probabilistic interpretation of the bramble-Hilbert lemma
AU - Chaskalovic, Joël
AU - Assous, Franck
N1 - Publisher Copyright:
© 2020 De Gruyter. All rights reserved.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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 the Bramble-Hilbert lemma, we derive two probability distributions that estimate the relative accuracy, considered as a random variable, between two Lagrange finite elements Pk and Pm (k < m). We establish mathematical properties of these probabilistic distributions and we get new insights which, among others, show that Pk or Pm is more likely accurate than the other, depending on the value of the mesh size h.
AB - 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 the Bramble-Hilbert lemma, we derive two probability distributions that estimate the relative accuracy, considered as a random variable, between two Lagrange finite elements Pk and Pm (k < m). We establish mathematical properties of these probabilistic distributions and we get new insights which, among others, show that Pk or Pm is more likely accurate than the other, depending on the value of the mesh size h.
KW - Bramble-Hilbert Lemma
KW - Error Estimates
KW - Finite Elements
KW - Probability
UR - http://www.scopus.com/inward/record.url?scp=85060731781&partnerID=8YFLogxK
U2 - 10.1515/cmam-2018-0270
DO - 10.1515/cmam-2018-0270
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AN - SCOPUS:85060731781
SN - 1609-4840
VL - 20
SP - 79
EP - 87
JO - Computational Methods in Applied Mathematics
JF - Computational Methods in Applied Mathematics
IS - 1
ER -