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Numerical Linear Algebra with Applications
Article . 2011 . Peer-reviewed
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Article . 2012
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Article . 2012
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Spectral analysis and preconditioning techniques for radial basis function collocation matrices

Spectral analysis and preconditioning techniques for radial basis function collocation matrices.
Authors: Roberto Cavoretto; Alessandra De Rossi; Marco Donatelli; Stefano Serra-Capizzano;

Spectral analysis and preconditioning techniques for radial basis function collocation matrices

Abstract

SUMMARYMeshless collocation methods based on radial basis functions lead to structured linear systems, which, for equispaced grid points, have almost a multilevel Toeplitz structure. In particular, if we consider partial differential equations (PDEs) in two dimensions, then we find almost (up to a ‘low‐rank’ correction given by the boundary conditions) two‐level Toeplitz matrices, i.e. block Toeplitz with Toeplitz blocks structures, where both the number of blocks and the block‐size grow with the number of collocation points. In Bini et al. (Linear Algebra Appl. 2008; 428:508–519), upper bounds for the condition number of the Toeplitz matrices approximating a one‐dimensional model problem were proved. Here, we refine the one‐dimensional results, by explaining some numerics reported in the previous paper, and we show a preliminary analysis concerning conditioning, extremal spectral behavior, and global spectral results in the two‐dimensional case for the structured part. By exploiting the recent tools in the literature, a global distribution theorem in the sense of Weyl is proved also for the complete matrix‐sequence, where the low‐rank correction due to the boundary conditions is taken into consideration. The provided spectral analysis is then applied to design effective preconditioning techniques in order to overcome the ill‐conditioning of the matrices. A wide numerical experimentation, both in the one‐ and two‐dimensional cases, confirms our analysis and the robustness of the proposed preconditioners. Copyright © 2011 John Wiley & Sons, Ltd.

Country
Italy
Keywords

Iterative numerical methods for linear systems, Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation, Krylov methods, radial basis functions, Toeplitz matrix, preconditioned conjugate gradients, Poisson's equation, least squares, preconditioning, collocation methods, Preconditioners for iterative methods, Spectral, collocation and related methods for boundary value problems involving PDEs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
Green
bronze