2018
DOI: 10.1007/s10915-018-0851-2
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RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels

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… Show more

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Cited by 17 publications
(19 citation statements)
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“…In the experiments, we consider nested sets of Halton data, with N = (13 + k) 2 , k = 0, 10, 20, 30. Of course, since the tolerance used to test if the local matrices are singular increases when the shape parameter decreases, as in [25], we expect that the accuracy of the HVSK-PU scheme significantly improves for small values of the shape parameters. On the opposite, the solution in terms of rRMSE should be comparable with that furnished by the classical PU scheme for ε = 2.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…In the experiments, we consider nested sets of Halton data, with N = (13 + k) 2 , k = 0, 10, 20, 30. Of course, since the tolerance used to test if the local matrices are singular increases when the shape parameter decreases, as in [25], we expect that the accuracy of the HVSK-PU scheme significantly improves for small values of the shape parameters. On the opposite, the solution in terms of rRMSE should be comparable with that furnished by the classical PU scheme for ε = 2.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…, N j . -the tolerance in (7), which as in [25] is linked to the shape parameter ε, as 10 −16 /ε 4 . In order to not further burden the computational cost, we fix h j i = 7 × 10 −6 , i = 1, .…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…The study of this parameter is a crucial topic to guarantee the stability of numerical methods. To overcome the problem, hybrid approaches called variably scaled kernels (VSKs) have been recently introduced [22].…”
Section: Related Numerical Workmentioning
confidence: 99%