Adaptive methods for PDE's: wavelets or mesh refinement?

Fuente: arXiv
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Autor principal: Cohen, Albert
Formato: Preprint
Publicado: 2002
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author Cohen, Albert
author_facet Cohen, Albert
contents Adaptive mesh refinement techniques are nowadays an established and powerful tool for the numerical discretization of PDE's. In recent years, wavelet bases have been proposed as an alternative to these techniques. The main motivation for the use of such bases in this context is their good performances in data compression and the approximation theoretic foundations which allow to analyze and optimize these performances. We shall discuss these theoretical foundations, as well as one of the approaches which has been followed in developing efficient adaptive wavelet solvers. We shall also discuss the similarities and differences between wavelet methods and adaptive mesh refinement.
format Preprint
id arxiv_https___arxiv_org_abs_math_0212414
institution arXiv
publishDate 2002
record_format arxiv
spellingShingle Adaptive methods for PDE's: wavelets or mesh refinement?
Cohen, Albert
Numerical Analysis
65N50, 41A25, 41A46, 42C40
Adaptive mesh refinement techniques are nowadays an established and powerful tool for the numerical discretization of PDE's. In recent years, wavelet bases have been proposed as an alternative to these techniques. The main motivation for the use of such bases in this context is their good performances in data compression and the approximation theoretic foundations which allow to analyze and optimize these performances. We shall discuss these theoretical foundations, as well as one of the approaches which has been followed in developing efficient adaptive wavelet solvers. We shall also discuss the similarities and differences between wavelet methods and adaptive mesh refinement.
title Adaptive methods for PDE's: wavelets or mesh refinement?
topic Numerical Analysis
65N50, 41A25, 41A46, 42C40
url https://arxiv.org/abs/math/0212414