Abstract
Partial differential equations (PDEs) on surfaces arise in a variety of application areas including biological systems, medical imaging, fluid dynamics, mathematical physics, image processing and computer graphics. In this paper, we propose a radial basis function (RBF) discretization of the closest point method. The corresponding localized meshless method may be used to approximate diffusion on smooth or folded surfaces. Our method has the benefit of having an a priori error bound in terms of percentage of the norm of the solution. A stable solver is used to avoid the ill-conditioning that arises when the radial basis functions (RBFs) become flat.
Original language | English |
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Pages (from-to) | 194-206 |
Number of pages | 13 |
Journal | Journal of Computational Physics |
Volume | 297 |
DOIs | |
Publication status | Published - 5 Sept 2015 |
Scopus Subject Areas
- Numerical Analysis
- Modelling and Simulation
- Physics and Astronomy (miscellaneous)
- General Physics and Astronomy
- Computer Science Applications
- Computational Mathematics
- Applied Mathematics
User-Defined Keywords
- Closest point method
- Diffusion
- Power function
- Radial basis function (RBF)
- Surface