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Wavelet-based numerical homogenisation with applications
KTH, School of Computer Science and Communication (CSC), Numerical Analysis, NA.
2001 (English)In: Lecture notes in computational science and engineering, Vol. 20, 97-148 p.Article in journal (Refereed) Published
Abstract [en]

Classical homogenization is an analytic technique for approximating multiscale differential equations. The numbers of scales are reduced and the resulting equations are easier to analyze or numerically approximate. The class of problems that classical homogenization applies to is quite restricted. We shall describe a numerical procedure for homogenization, which starts from a discretization of the multiscale differential equation. In this procedure the discrete operator is represented in a wavelet space and projected onto a coarser subspace. The wavelet homogenization applies to a wider class of problems than classical homogenization. The projection procedure is general and we give a presentation of a framework in Hilbert space, which also applies to the differential equation directly. The wavelet based homogenization technique is applied to discretizations of the Helmholtz equation. In one problem from electromagnetic compatibility a subgrid scale geometrical detail is represented on a coarser grid. In another a wave-guide filter is efficiently approximated in a lower dimension. The technique is also applied to the derivation of effective equations for a nonlinear problem and to the derivation of coarse grid operators in multigrid. These multigrid methods work very well for equations with highly oscillatory or discontinuous coefficients

Place, publisher, year, edition, pages
2001. Vol. 20, 97-148 p.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-90293OAI: diva2:504832
NR 20140805Available from: 2012-02-21 Created: 2012-02-21Bibliographically approved

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Engquist, Björn
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Numerical Analysis, NA
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