Results 241 to 250 of about 10,950 (255)
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Approximate Moving Least-Squares Approximation with Compactly Supported Radial Weights

2003
We use Maz’ya and Schmidt’s theory of approximate approximation to devise a fast and accurate approximate moving least-squares approximation method which does not require the solution of any linear systems. Since we use compactly supported weight functions, the remaining summation is also efficient.
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Direct approximation on spheres using generalized moving least squares

BIT Numerical Mathematics, 2017
This paper presents a moving square method on the sphere of \(\mathbb R^d\) that differs from the classical one considering a different approach -- the so-called direct approach. Let \(X\) be the set of points in the sphere. The classical method is based on the approximation of a certain function \(u\) by a set of functions and requires the action of ...
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Good quality point sets and error estimates for moving least square approximations

Applied Numerical Mathematics, 2003
The author discusses the construction of moving least square approximations. Error estimates in Sobolev spaces are given. It is discussed that the condition number of the star of nodes could be used as a good measure for the quality of the distribution of the nodes and patches.
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On Discrete Polynomial Least-Squares Approximation in Moving Time Windows

1999
The paper presents a modification algorithm for least-squares approximations in moving time windows for equidistant discrete data. Properties of discrete shift and difference operators are used to derive fast square-rootand division-free algorithms, especially suitable for implementation on DSPs, for some particular discrete weights.
openaire   +1 more source

A divergence-free generalized moving least squares approximation with its application

Applied Numerical Mathematics, 2021
Vahid Mohammadi, Mehdi Dehghan
exaly  

Complex variable moving least-squares method: a meshless approximation technique

International Journal for Numerical Methods in Engineering, 2007
K M Liew, Yumin Cheng, S Kitipornchai
exaly  

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