CURVATURE BASED CHARACTERIZATION OF RADIAL BASIS FUNCTIONS: APPLICATION TO INTERPOLATION

DOI10.3846/mma.2023.16897zbMath1530.65017OpenAlexW4386416819MaRDI QIDQ6136290

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Publication date: 16 January 2024

Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3846/mma.2023.16897

zbMATH Keywords

interpolationcurvatureradial basis functionsshape parameter

Mathematics Subject Classification ID

Numerical interpolation (65D05) Numerical radial basis function approximation (65D12)

Cites Work

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• A random variable shape parameter strategy for radial basis function approximation methods
• Improved accuracy of multiquadric interpolation using variable shape parameters
• Adaptive interpolation by scaled multiquadrics
• A univariate quasi-multiquadric interpolation with better smoothness
• Multiquadrics -- a scattered data approximation scheme with applications to computational fluid-dynamics. II: Solutions to parabolic, hyperbolic and elliptic partial differential equations
• Error estimates and condition numbers for radial basis function interpolation
• The Runge phenomenon and spatially variable shape parameters in RBF interpolation
• Kernel-based Approximation Methods using MATLAB
• Interpolation with variably scaled kernels

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