Stable multiscale bases and local error estimation for elliptic problems

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External Research Organisations

  • RWTH Aachen University
  • Freie Universität Berlin (FU Berlin)
  • Technische Universität Darmstadt
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Original languageEnglish
Pages (from-to)21-47
Number of pages27
JournalApplied numerical mathematics
Volume23
Issue number1
Publication statusPublished - Feb 1997
Externally publishedYes

Abstract

This paper is concerned with the analysis of adaptive multiscale techniques for the solution of a wide class of elliptic operator equations covering, in principle, singular integral as well as partial differential operators. The central objective is to derive reliable and efficient a-posteriori error estimators for Galerkin schemes which are based on stable multiscale bases. It is shown that the locality of corresponding multiresolution processes combined with certain norm equivalences involving weighted sequence norms of wavelet coefficients leads to adaptive space refinement strategies which are guaranteed to converge in a wide range of cases, again including operators of negative order.

Keywords

    A-posteriori error estimators, Convergence of adaptive schemes, Elliptic operator equations, Galerkin schemes, Norm equivalences, Stable multiscale bases

ASJC Scopus subject areas

Cite this

Stable multiscale bases and local error estimation for elliptic problems. / Dahlke, Stephan; Dahmen, Wolfgang; Hochmuth, Reinhard et al.
In: Applied numerical mathematics, Vol. 23, No. 1, 02.1997, p. 21-47.

Research output: Contribution to journalArticleResearchpeer review

Dahlke S, Dahmen W, Hochmuth R, Schneider R. Stable multiscale bases and local error estimation for elliptic problems. Applied numerical mathematics. 1997 Feb;23(1):21-47. doi: 10.1016/S0168-9274(96)00060-8
Dahlke, Stephan ; Dahmen, Wolfgang ; Hochmuth, Reinhard et al. / Stable multiscale bases and local error estimation for elliptic problems. In: Applied numerical mathematics. 1997 ; Vol. 23, No. 1. pp. 21-47.
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