A multi-level solution of scalar and vectorial interpolation problems based on iterated elliptic operators

One of the most popular methods to solve scattered data interpolation problems is the method of radial basis functions. However, it leads to a linear system with large, dense and ill‐conditioned matrix, which causes severe numerical difficulties. Here a relatively new approach is presented which com...

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Bibliographic Details
Published inProceedings in applied mathematics and mechanics Vol. 3; no. 1; pp. 535 - 536
Main Author Gáspár, Csaba
Format Journal Article
LanguageEnglish
Published Berlin WILEY-VCH Verlag 01.12.2003
WILEY‐VCH Verlag
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ISSN1617-7061
1617-7061
DOI10.1002/pamm.200310537

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Summary:One of the most popular methods to solve scattered data interpolation problems is the method of radial basis functions. However, it leads to a linear system with large, dense and ill‐conditioned matrix, which causes severe numerical difficulties. Here a relatively new approach is presented which completely avoids the large and dense matrices and significantly reduces the computational cost. The interpolation problem is converted to a higher order (typically to an iterated elliptic) partial differential equation supplied with the interpolation condition as special boundary conditions. This new problem is well‐posed in a suitable Sobolev space and can be solved by using robust, multi‐level methods. The approach is generalized also to vectorial interpolation problems, where the interpolation vector field is assumed to satisfy some additional conditions e.g. it is irrotational or divergence‐free.
Bibliography:istex:342419E84B0236FCB87C9F3B66A229B3C55E07B6
ark:/67375/WNG-G5NLCXBD-5
ArticleID:PAMM200310537
ISSN:1617-7061
1617-7061
DOI:10.1002/pamm.200310537