Manifold Approximation by Moving Least-Squares Projection (MMLS) [PDF]
Constructive Approximation, 2019 In order to avoid the curse of dimensionality, frequently encountered in Big Data analysis, there was a vast development in the field of linear and nonlinear dimension reduction techniques in recent years. These techniques (sometimes referred to as manifold learning) assume that the scattered input data is lying on a lower dimensional manifold, thus ...
Sober, Barak, Levin, David
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SOME COMPARISON RESULTS FOR MOVING LEAST-SQUARE APPROXIMATIONS [PDF]
International Journal of Pure and Apllied Mathematics, 2016 Some properties of moving least-square approximations for two concrete weight functions are investigated. The used thecnique is based on some properties of differential equations and applications of the theory of Lyapunov functions.
Nenov S., Tsvetkov T.
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Analysis of a plane stress wave by the moving least squares method [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2014 A meshless method based on the moving least squares approximation is applied to stress wave propagation analysis. Two kinds of node meshes, the randomly generated mesh and the regular mesh are used.
Wojciech Dornowski
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Journal of Geodetic Science, 2020 This paper is aimed at introducing the concept of Spherical Interpolating Moving Least Squares to the problems in geodesy and geophysics. Based on two previously known methods, namely Spherical Moving Least Squares and Interpolating Moving Least Squares,
Kiani M.
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High-performance numerical algorithms and software for structured total least squares [PDF]
, 2005 We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact.
Van Huffel, S. +3 more
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Computers and Mathematics with Applications, 2020 The localized method of fundamental solutions (LMFS) is an efficient meshless collocation method that combines the concept of localization and the method of fundamental solutions (MFS).
Wen-Zhen Qu, C. Fan, Xiao-Lin Li
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An Element Free Galerkin Method Based on the Modified Moving Least Squares Approximation [PDF]
Journal of Scientific Computing, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
H. Chowdhury +3 more
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A meshless discrete Galerkin method for solving the universe evolution differential equations based on the moving least squares approximation [PDF]
Iranian Journal of Astronomy and Astrophysics, 2017 In terms of observational data, there are some problems in the standard Big Bang cosmological model. Inflation era, early accelerated phase of the evolution of the universe, can successfully solve these problems.
Pouria Assari, Vahid Kamali, Ali Suri
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Frequency Analysis of Functionally Graded Carbon Nanotube-reinforced Cylindrical Panels by Mesh-free Galerkin Method [PDF]
Mechanics of Advanced Composite Structures, 2021 In this work, the three-dimensional mesh-free (3D-Mfree) method is used for free vibration analysis of functionally graded (FG) cylindrical panels reinforced by carbon nanotubes.
Jaber Alihemmati +3 more
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Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm
Journal of Control Science and Engineering, 2021 Although moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic.
Steve Alan Talla Ouambo +3 more
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