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Error analysis for moving least squares approximation in 2D space
Applied Mathematics and Computation, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hongping Ren
exaly +4 more sources
Engineering Analysis With Boundary Elements, 2020
The augmented moving least squares (AMLS) approximation is a meshless scheme to construct continuous functions by using fundamental solutions as basis functions.
Xiaolin Li
exaly +2 more sources
The augmented moving least squares (AMLS) approximation is a meshless scheme to construct continuous functions by using fundamental solutions as basis functions.
Xiaolin Li
exaly +2 more sources
MLSEB: Edge Bundling Using Moving Least Squares Approximation [PDF]
Edge bundling methods can effectively alleviate visual clutter and reveal high-level graph structures in large graph visualization. Researchers have devoted significant efforts to improve edge bundling according to different metrics. As the edge bundling
Jieting Wu +3 more
semanticscholar +4 more sources
Piece-wise moving least squares approximation ☆
Applied Numerical Mathematics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen Li, Guo-Hui Song, G. Yao
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Communications in nonlinear science & numerical simulation, 2020
The moving least-squares (MLS) approximation is a powerful numerical scheme widely used in the meshfree literature to construct local multivariate polynomial basis functions for expanding the solution of a given differential or integral equation.
M. Shirzadi, M. Dehghan, A. F. Bastani
semanticscholar +1 more source
The moving least-squares (MLS) approximation is a powerful numerical scheme widely used in the meshfree literature to construct local multivariate polynomial basis functions for expanding the solution of a given differential or integral equation.
M. Shirzadi, M. Dehghan, A. F. Bastani
semanticscholar +1 more source
, 2020
Recently, serious progress has been made in solar energy applications in developed and developing countries. Solar radiation on a horizontal surface is the basic parameter required for the design of solar energy systems and for evaluating the system ...
A. Kaplan, Y. Kaplan
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Recently, serious progress has been made in solar energy applications in developed and developing countries. Solar radiation on a horizontal surface is the basic parameter required for the design of solar energy systems and for evaluating the system ...
A. Kaplan, Y. Kaplan
semanticscholar +1 more source
Comput. Biol. Medicine, 2020
The main aim of this study is to solve numerically the mathematical models showing cancer cell invasion of tissue with/without considering the effect of cell-cell and cell-matrix adhesion.
V. Mohammadi, M. Dehghan
semanticscholar +1 more source
The main aim of this study is to solve numerically the mathematical models showing cancer cell invasion of tissue with/without considering the effect of cell-cell and cell-matrix adhesion.
V. Mohammadi, M. Dehghan
semanticscholar +1 more source
Iterated Approximate Moving Least Squares Approximation
, 2007The 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 ...
G. Fasshauer, Jack G. Zhang
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