Results 61 to 70 of about 66,673 (199)
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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Recent results for moving least squares approximation [PDF]
, 2003 . We describe two experiments recently conducted with the approximate moving least squares (MLS) approximation method. On the one hand, the NFFT library of Kunis, Potts, and Steidl is coupled with the approximate MLS method to obtain a fast and accurate ...
Jack G. Zhang, Gregory E. Fasshauer
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Journal of Applied Mathematics, 2014 This paper studies identification problems of two-input single-output controlled autoregressive moving average systems by using an estimated noise transfer function to filter the input-output data.
Xianling Lu, Wei Zhou, Wenlin Shi
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Alexandria Engineering Journal, 2018 The current work presents a computational scheme to solve weakly singular integral equations of the second kind. The discrete collocation method in addition to the moving least squares (MLS) technique established on scattered points is utilized to ...
Pouria Assari
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, 2019 In this work, we apply two meshless methods for the numerical solution of the time-dependent transport equation defined on the sphere in spherical coordinates. The first technique, which was introduced by Mirzaei (BIT Numerical Mathematics, 54 (4) 1041-1063, 2017) in Cartesian coordinates is a generalized moving least squares approximation, and the ...
Mohammadi, Vahid +3 more
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Toward Approximate Moving Least Squares Approximation With Irregularly . . . [PDF]
, 2004 By combining the well known moving least squares approximation method and the theory of approximate approximations due to Maz'ya and Schmidt we are able to present an approximate moving least squares method which inherits the simplicity of Shepard ...
Gregory E. Fasshauer
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Generation of Adaptive Streak Surfaces Using Moving Least Squares [PDF]
, 2011 We introduce a novel method for the generation of fully adaptive streak surfaces in time-varying flow fields based on particle advection and adaptive mesh refinement.
Hering-Bertram, Martin +3 more
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On Moving Least Squares Based Flow Visualization.
, 2011 Modern simulation and measurement methods tend to produce meshfree data sets if modeling of processes or objects with free surfaces or boundaries is desired. In Computational Fluid Dynamics (CFD), such data sets are described by particle-based vector fields.
Harald Obermaier +3 more
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Linear least squares estimation of the first order moving average parameter [PDF]
We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the rst order moving average parameter and provides a closed form of the estimator.
Emili Valdero Mora
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New concepts for moving least squares: An interpolating non-singular weighting function and weighted nodal least squares [PDF]
, 2017 New concepts for moving least squares: An interpolating non-singular weighting function and weighted nodal least ...
Most, Thomas, Bucher, Christian
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