Abstract
Recently, particular solutions using radial basis functions have been used as a basis for solving inhomogeneous partial differential equations as a one-stage approach without the need of finding homogeneous solutions. In this paper, we adopt a newly developed adaptive greedy algorithm to enhance the performance of the one-stage method and alleviate the difficulty of ill-conditioning of the resultant matrix. To demonstrate the effectiveness of coupling these two methods, we give two 3D examples with excellent numerical results.
Original language | English |
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Pages (from-to) | 499-511 |
Number of pages | 13 |
Journal | International Journal of Computational Methods |
Volume | 7 |
Issue number | 3 |
DOIs | |
Publication status | Published - Sept 2010 |
Scopus Subject Areas
- Computer Science (miscellaneous)
- Computational Mathematics
User-Defined Keywords
- adaptive greedy algorithm
- meshless method
- Radial basis functions