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Analysis of a superconvergent recursive moving least squares approximation
Applied Mathematics Letters, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaolin Li
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Approximation of parametric curves by Moving Least Squares method
Applied Mathematics and Computation, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Majid Amirfakhrian, H. Mafikandi
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Moving least-squares approximations for linearly-solvable MDP
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2011By introducing Linearly-solvable Markov Decision Process (LMDP), a general class of nonlinear stochastic optimal control problems can be reduced to solving linear problems. However, in practice, LMDP defined on continuous state space remain difficult due to high dimensionality of the state space.
Mingyuan Zhong 0002, Emanuel Todorov
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Approximating surfaces by moving total least squares method
Applied Mathematics and Computation, 1998We suggest a method for generating a surface approximating the given data $(x_i,y_i,z_i)inR^3$, $i=1,ldots,m$,assuming that the errors can occur both in the independent variables $x$ and $y$, as well as in the dependent variable $z$. Our approach is based on the moving total least squares method,where the local approximants (local planes) are ...
Scitovski, Rudolf +2 more
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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 ...
Gregory E. Fasshauer, Jack G. Zhang
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Error estimates for moving least square approximations
Applied Numerical Mathematics, 2001We obtain error estimates for moving least square approximations in the one-dimensional case. For the application of this method to the numerical solution of differential equations it is fundamental to have error estimates for the approximations of derivatives.
Armentano, María G., Durán, Ricardo G.
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Piece-wise moving least squares approximation
Applied Numerical Mathematics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen Li, Guohui Song, Guangming Yao
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Fast least-squares polynomial approximation in moving time windows
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002Only a few time series methods are applicable to signal trend analysis under real-time conditions. The use of orthogonal polynomials for least-squares approximations on discrete data turned out to be very efficient for providing estimators in the time domain.
Erich Fuchs, Klaus Donner
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Augmented moving least squares approximation using fundamental solutions
Engineering Analysis With Boundary Elements, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaolin Li, Fajie Wang, Wenzhen Qu
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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, Kaiyan Pei, Liping Wang
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