Related references
Note: Only part of the references are listed.A direct approach for function approximation on data defined manifolds
H. N. Mhaskar
NEURAL NETWORKS (2020)
Radial basis function approximation of noisy scattered data on the sphere
Kerstin Hesse et al.
NUMERISCHE MATHEMATIK (2017)
Randomized algorithms for large-scale inverse problems with general Tikhonov regularizations
Hua Xiang et al.
INVERSE PROBLEMS (2015)
PARAMETER CHOICE STRATEGIES FOR LEAST-SQUARES APPROXIMATION OF NOISY SMOOTH FUNCTIONS ON THE SPHERE
S. V. Pereverzyev et al.
SIAM JOURNAL ON NUMERICAL ANALYSIS (2015)
Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions
Hrushikesh N. Mhaskar et al.
APPLIED MATHEMATICS AND COMPUTATION (2013)
Regularization with randomized SVD for large-scale discrete inverse problems
Hua Xiang et al.
INVERSE PROBLEMS (2013)
Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise
Shuai Lu et al.
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS (2013)
Multiscale analysis for ill-posed problems with semi-discrete Tikhonov regularization
Min Zhong et al.
INVERSE PROBLEMS (2012)
ON ERROR BOUNDS FOR ORTHOGONAL POLYNOMIAL EXPANSIONS AND GAUSS-TYPE QUADRATURE
Shuhuang Xiang
SIAM JOURNAL ON NUMERICAL ANALYSIS (2012)
Marcinkiewicz-Zygmund measures on manifolds
F. Filbir et al.
JOURNAL OF COMPLEXITY (2011)
A model function method in regularized total least squares
Shuai Lu et al.
APPLICABLE ANALYSIS (2010)
Discrepancy curves for multi-parameter regularization
Shuai Lu et al.
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS (2010)
Sparse recovery by the standard Tikhonov method
Shuai Lu et al.
NUMERISCHE MATHEMATIK (2009)
REGULARIZED TOTAL LEAST SQUARES: COMPUTATIONAL ASPECTS AND ERROR BOUNDS
Shuai Lu et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2009)
LOCALIZED LINEAR POLYNOMIAL OPERATORS AND QUADRATURE FORMULAS ON THE SPHERE
Q. T. Le Gia et al.
SIAM JOURNAL ON NUMERICAL ANALYSIS (2008)
On the balancing principle for some problems of Numerical Analysis
Raytcho D. Lazarov et al.
NUMERISCHE MATHEMATIK (2007)
An analysis of Tikhonov regularization for nonlinear ill-posed problems under a general smoothness assumption
Shuai Lu et al.
INVERSE PROBLEMS (2007)
The numerical stability of barycentric Lagrange interpolation
NJ Higham
IMA JOURNAL OF NUMERICAL ANALYSIS (2004)
Polynomial operators and local smoothness classes on the unit interval
HN Mhaskar
JOURNAL OF APPROXIMATION THEORY (2004)
Share Paper
