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ABSTRACT
A simple and effective preconditioner for integrated-RBF-based Cartesian-grid schemes
Computational Engineering and Science Research Centre, Faculty of Engineering and Surveying, University of Southern Queensland, Toowoomba, QLD 4350, Australia
The International Conference on Computational & Experimental Engineering and Sciences 2010, 14(2), 51-56. https://doi.org/10.3970/icces.2010.014.051
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This paper presents a preconditioning scheme to improve the condition number of integrated radial-basis-function (RBF) matrices in solving large-scale 2D elliptic problems. The problem domain is discretised using a Cartesian grid, over which integrated RBF networks are employed to represent the field variable. The present preconditioner is constructed from 1D integrated RBF networks along grid lines. Test problems defined on rectangular and non-rectangular domains are employed to study the performance of the scheme.Keywords
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Mai-Duy, N., Tran-Cong, T. (2010). A simple and effective preconditioner for integrated-RBF-based Cartesian-grid schemes. The International Conference on Computational & Experimental Engineering and Sciences, 14(2), 51–56. https://doi.org/10.3970/icces.2010.014.051
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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