Multistep scattered data interpolation using compactly supported radial basis functions
Journal of Computational and Applied Mathematics - Special issue on scattered data
Construction techniques for highly accurate quasi-interpolation operators
Journal of Approximation Theory
On simultaneous approximations by radial basis function neural networks
Applied Mathematics and Computation
A Theory of Networks for Approximation and Learning
A Theory of Networks for Approximation and Learning
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
A matrix decomposition RBF algorithm: Approximation of functions and their derivatives
Applied Numerical Mathematics
A univariate quasi-multiquadric interpolationwith better smoothness
Computers & Mathematics with Applications
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Based on the theoretical results of (Li & Micchelli, 2000) on approximation by radial basis functions, a rich class of new radial basis functions has been explicitly constructed for the purpose of implementing the simultaneous approximation of functions and their derivatives, which 2D and 3D numerical examples are conducted to show the efficiency of the computation.