Results 11 to 20 of about 18,097 (230)
Approximation of functions over manifolds: A Moving Least-Squares approach [PDF]
Journal of Computational and Applied Mathematics, 2021 arXiv admin note: text overlap with arXiv:1606 ...
Sober, Barak +3 more
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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
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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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The approximation power of moving least-squares [PDF]
Mathematics of Computation, 1998 A general method for near-best approximations to functionals on R d \
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Hermite type moving-least-squares approximations
Computers & Mathematics with Applications, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Z. Komargodski, David Levin
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MLSEB: Edge Bundling Using Moving Least Squares Approximation [PDF]
, 2018 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 family evolve rapidly, the quality of edge bundles receives increasing attention in the literature ...
Jieting Wu +3 more
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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 a small matrix for every point of interest.
Yang Cao 0014 +2 more
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Computer Assisted Methods in Engineering and Science, 2022 It has been recognized by many authors that the enforcement of the essential boundary conditions is not an easy task, when it comes to moving least square (MLS)-based meshfree methods.
Sebastian Skatulla, Carlo Sansour
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Homogenization Topology Optimization Method Based on Continuous Field
Advances in Mechanical Engineering, 2010 In order to overcome numerical instabilities such as checkerboards, meshdependence in topology optimization of continuum structures, a new implementation combined with homogenization method without introducing any additional constraint parameter is ...
Hongwei Zhao, Kai Long, Z.-D. Ma
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