We investigate adaptivity issues for the approximation of Poisson equations via radial basis function-based partition of unity collocation. The adaptive residual subsampling approach is performed with quasi-uniform node sequences leading to a flexible tool which however might suffer from numerical instability due to ill-conditioning of the collocation matrices. We thus develop a hybrid method which makes use of the so-called variably scaled kernels. The proposed algorithm numerically ensures the convergence of the adaptive procedure

De Marchi, S., Martinez, A., Perracchione, E., Rossini, M. (2017). RBF-based partition of unity method for elliptic PDEs: Adaptivity and stability issues via VSKs. JOURNAL OF SCIENTIFIC COMPUTING, 1-25.

RBF-based partition of unity method for elliptic PDEs: Adaptivity and stability issues via VSKs

Rossini, M
2017

Abstract

We investigate adaptivity issues for the approximation of Poisson equations via radial basis function-based partition of unity collocation. The adaptive residual subsampling approach is performed with quasi-uniform node sequences leading to a flexible tool which however might suffer from numerical instability due to ill-conditioning of the collocation matrices. We thus develop a hybrid method which makes use of the so-called variably scaled kernels. The proposed algorithm numerically ensures the convergence of the adaptive procedure
Articolo in rivista - Articolo scientifico
Partition of unity, method Radial basis functions, Meshfree, approximation Elliptic PDEs, Variably scaled kernels
English
2017
1
25
none
De Marchi, S., Martinez, A., Perracchione, E., Rossini, M. (2017). RBF-based partition of unity method for elliptic PDEs: Adaptivity and stability issues via VSKs. JOURNAL OF SCIENTIFIC COMPUTING, 1-25.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/190384
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