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Iterated Approximate Moving Least Squares Approximation

2007
The radial basis function interpolant is known to be the best approximation to a set of scattered data when the error is measured in the native space norm. The approximate moving least squares method, on the other hand, was recently proposed as an efficient approximation method that avoids the solution of the system of linear equations associated with ...
Gregory E. Fasshauer, Jack G. Zhang
openaire   +1 more source

Maximal function associated to the bounded law of the iterated logarithms via orthomartingale approximation

Journal of Mathematical Analysis and Applications, 2021
Davide Giraudo
exaly  

Randomized Iterative Methods for Matrix Approximation

2022
Joy Azzam   +2 more
openaire   +1 more source

Progressive iteration approximation and the geometric algorithm

Computer-Aided Design, 2012
Jesús M. Carnicer   +2 more
openaire   +1 more source

SPECTRAL APPROXIMATION USING ITERATED DISCRETE GALERKIN METHOD

Numerical Functional Analysis and Optimization, 2002
Rekha P Kulkarni
exaly  

Richardson extrapolation of iterated discrete projection methods for eigenvalue approximation

Journal of Computational and Applied Mathematics, 2009
Gnaneshwar Nelakanti
exaly  

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