The regularizing properties of anisotropic radial basis functions
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摘要
In the present work we consider the problem of interpolating scattered data using radial basis functions (RBF). In general, it is well known that this leads to a discrete linear inverse problem that needs to be regularized in order to provide a meaningful solution. The work focuses on a metric-regularization approach, based on a new class of RBF, called anisotropic RBF. The work provides theoretical justifications for the regularization approach and it considers a suitable proposal for the metric, supporting it by numerical examples.
论文关键词:Radial basis functions,Interpolation,Regularization,Ill conditioning
论文评审过程:Available online 4 June 2007.
论文官网地址:https://doi.org/10.1016/j.amc.2006.11.128