Results 11 to 20 of about 4,063,184 (303)
Approximation of Functions over Manifolds: A Moving Least-Squares Approach [PDF]
Journal of Computational and Applied Mathematics, 2017 We present an algorithm for approximating a function defined over a d -dimensional manifold utilizing only noisy function values at locations sampled from the manifold with noise.
B. Sober, Yariv Aizenbud, D. Levin
semanticscholar +9 more sources
A Modification of the Moving Least-Squares Approximation in the Element-Free Galerkin Method [PDF]
Journal of Applied Mathematics, 2014 The element-free Galerkin (EFG) method is one of the widely used meshfree methods for solving partial differential equations. In the EFG method, shape functions are derived from a moving least-squares (MLS) approximation, which involves the inversion of ...
Yang Cao, Jun-Liang Dong, Lin-Quan Yao
doaj +5 more sources
Modified moving least squares with polynomial bases for scattered data approximation [PDF]
Applied Mathematics and Computation, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adam Wittek, Karol Miller, Grand Joldes
exaly +3 more sources
Local polynomial reproduction and moving least squares approximation
IMA Journal of Numerical Analysis, 2001 Local polynomial reproduction is a key ingredient in providing error estimates for several approximation methods. To bound the Lebesgue constants is a hard task especially in a multivariate setting.
H. Wendland
semanticscholar +4 more sources
MOVING LEAST-SQUARES APPROXIMATION TO BE USED WITH MESHLESS NUMERICAL ANALYSIS METHODS
Civil Engineering Dimension, 2002 in Bahasa Indonesia : Meshless Numerical Analysis Method adalah suatu metode analisa numerik yang berkembang dengan pesat sebagai alternatif metode elemen hingga (Finite Element Method) yang sudah cukup terkenal.
Pamuda Pudjisuryadi
doaj +1 more source
The approximation power of moving least-squares [PDF]
Mathematics of Computation, 1998 A general method for near-best approximations to functionals on R d \
D. Levin
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Journal of Computational PhysicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saeb Faraji Gargari +2 more
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Linear least squares estimation of the first order moving average parameter [PDF]
, 2002 We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the first order moving average parameter and provides a closed form of the estimator.
Valdero Mora, Emili
core +6 more sources
Moving least squares multiresolution surface approximation [PDF]
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003 We describe a new method for surface reconstruction based on unorganized point clouds without normals. We also present a new algorithm for refining the initial triangulation. The output of the method is a refined triangular mesh with points on the moving least squares surface of the original point cloud.
Boris Mederos +2 more
openaire +1 more source
Comparison of Moving Least Squares and RBF+poly for Interpolation and Derivative Approximation [PDF]
Journal of Scientific Computing, 2019 The combination of polyharmonic splines (PHS) with high degree polynomials (PHS+poly) has recently opened new opportunities for radial basis function generated finite difference approximations. The PHS+poly formulation, which relies on a polynomial least squares fitting to enforce the local polynomial reproduction property, resembles somehow the so ...
V. Bayona
semanticscholar +5 more sources