NANAFeb 12, 2019

A new mixed functional-probabilistic approach for finite element accuracy

arXiv:1803.0955213 citationsh-index: 16
Originality Synthesis-oriented
AI Analysis

The work offers a theoretical perspective on finite element accuracy, but the results are incremental and primarily of interest to computational mathematics researchers.

This paper develops a probabilistic framework to estimate relative accuracy between finite elements of different orders, deriving asymptotic laws that provide new insights for high-order elements.

The aim of this paper is to provide a new perspective on finite element accuracy. Starting from a geometrical reading of the Bramble-Hilbert lemma, we recall the two probabilistic laws we got in previous works that estimate the relative accuracy, considered as a random variable, between two finite elements $P_k$ and $P_m$, ($k < m$). Then, we analyze the asymptotic relation between these two probabilistic laws when the difference $m-k$ goes to infinity. New insights which qualified the relative accuracy in the case of high order finite elements are correspondingly obtained.

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