On the least squares fit by radial functions to multidimensional scattered data

DOI10.1007/BF01385749zbMath0797.41003MaRDI QIDQ1326443

N. Sivakumar, Joseph D. Ward

Publication date: 18 May 1994

Published in: Numerische Mathematik (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/133732

zbMATH Keywords

discrete least squares approximation

Mathematics Subject Classification ID

Multidimensional problems (41A63) Interpolation in approximation theory (41A05)

Related Items

Gaussian radial basis function interpolant for the different data sites and basis centers, Random sampling and unisolvent interpolation by almost everywhere analytic functions, Some extensions of radial basis functions and their applications in artificial intelligence, Dual bases and discrete reproducing kernels: a unified framework for RBF and MLS approximation, A dynamic meshless method for the least squares problem with some noisy subdomains, Strictly positive definite functions on spheres in Euclidean spaces, Geometric selection of centers for radial basis function approximations involved in intensive computer simulations

Cites Work

• Interpolation of scattered data: distance matrices and conditionally positive definite functions
• Eigenvalues of euclidean distance matrices
• Norm estimates for the inverses of a general class of scattered-data radial-function interpolation matrices
• A practical guide to splines
• Norms of inverses and condition numbers for matrices associated with scattered data
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