A dynamic meshless method for the least squares problem with some noisy subdomains

DOI10.1016/j.apm.2012.07.015zbMath1351.62089OpenAlexW2017253920MaRDI QIDQ727325

D. Kharzeev

Publication date: 6 December 2016

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2012.07.015

zbMATH Keywords

meshless methodweighted least squares methodGaussian radial basis functionnoisy least squares problems

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical smoothing, curve fitting (65D10) General nonlinear regression (62J02)

Related Items

A shift‐adaptive meshfree method for solving a class of initial‐boundary value problems with moving boundaries in one‐dimensional domain

Uses Software

• Matlab

Cites Work

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• A weighted least squares method for scattered data fitting
• Norm estimates for the inverses of a general class of scattered-data radial-function interpolation matrices
• Bounds on multivariate polynomials and exponential error estimates for multiquadric interpolation
• Miscellaneous error bounds for multiquadric and related interpolators
• A practical guide to splines
• On the least squares fit by radial functions to multidimensional scattered data
• Accuracy of radial basis function interpolation and derivative approximations on 1 D infinite grids
• Error estimates and condition numbers for radial basis function interpolation
• Dynamic node adaptive strategy for nearly singular problems on large domains
• Spectral Approximation Orders of Radial Basis Function Interpolation on the Sobolev Space
• Spectral convergence of multiquadric interpolation
• Radial Basis Functions
• Exponential convergence andH-c multiquadric collocation method for partial differential equations
• Scattered Data Approximation