Exploring oversampling in RBF least-squares collocation method of lines for surface diffusion-Reference-Cited by-同舟云学术

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Exploring oversampling in RBF least-squares collocation method of lines for surface diffusion

Published:2024-01-08 Issue: Volume: Page:
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

Chen Meng,Ling Leevan

Funder

Natural Science Foundation of Jiangxi Province

National Natural Science Foundation of China

National Key Research and Development Program of China

General Research Fund

Hong Kong Research Grant Council

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11075-023-01741-4.pdf

Reference28 articles.

1. Cheung, K.C., Ling, L., Schaback, R.: H2-convergence of least-squares kernel collocation methods. SIAM J. Numer. Anal. 56(1), 614–633 (2018)

2. Chen, M., Ling, L.: Extrinsic meshless collocation methods for PDEs on manifolds. SIAM J. Num. Anal. 58(2), 988–1007 (2020)

3. Cheung, K.C., Ling, L.: A kernel-based embedding method and convergence analysis for surfaces PDEs. SIAM J. Sci. Comput. 40(1), 266–287 (2018)

4. Chen, M., Cheung, K.C., Ling, L.: A kernel-based least-squares collocation method for surface diffusion. SIAM J. Numer. Anal. 61(3), 1386–1404 (2023). https://doi.org/10.1137/21M1444369

5. Maerz, T., Macdonald, C.B.: Calculus on surfaces with general closest point functions. SIAM J. Numer. Anal. 50(6), 3303–3328 (2012). https://doi.org/10.1137/12086553

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