The Matlab Radial Basis Function Toolbox
Radial Basis Function (RBF) methods are important tools for scattered data interpolation and for the solution of Partial Differential Equations in complexly shaped domains. The most straight forward approach used to evaluate the methods involves solving a linear system which is typically poorly cond...
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2017-03-01
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| Series: | Journal of Open Research Software |
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| Online Access: | http://openresearchsoftware.metajnl.com/articles/131 |
| Summary: | Radial Basis Function (RBF) methods are important tools for scattered data interpolation and for the solution of Partial Differential Equations in complexly shaped domains. The most straight forward approach used to evaluate the methods involves solving a linear system which is typically poorly conditioned. The Matlab Radial Basis Function toolbox features a regularization method for the ill-conditioned system, extended precision floating point arithmetic, and symmetry exploitation for the purpose of reducing flop counts of the associated numerical linear algebra algorithms. |
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| ISSN: | 2049-9647 |