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 procedureI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.