Results 101 to 110 of about 85,240 (298)
MathematicsOver the last two decades, meshfree Galerkin methods have become increasingly popular in solid and fluid mechanics applications. A variety of these methods have been developed, each incorporating unique meshfree approximation schemes to enhance their ...
Hongtao Yang, Hao Wang, Bo Li
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The Kalman Foundations of Adaptive Least Squares: Applications to Unemployment and Inflation [PDF]
Adaptive Least Squares (ALS), i.e. recursive regression with asymptotically constant gain, as proposed by Ljung (1992), Sargent (1993, 1999), and Evans and Honkapohja (2001), is an increasingly widely-used method of estimating time-varying relationships ...
J. Huston McCulloch
core
Abstract Sketching Image Morphing Using Moving Least Squares [PDF]
, 2008 Image morphing has received much attention in recent years. It has proven to be a powerful tool for visual effects in film and television, depicting the fluid transformation of one digital image into another.
Min Meng
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
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Toward approximate moving least squares approximation with irregularly spaced centers [PDF]
, 2004 . The 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.
Jack G. Zhang, Gregory E. Fasshauer
core
A framework for moving least squares method with total variation minimizing regularization [PDF]
, 2018 Bregman iteration; Denoising; Moving least squares; Total ...
윤정호, 이연주
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A GALERKIN APPROXIMATION METHOD INCLUDING SPACE DIMENSIONAL REDUCTION - APPLIED FOR SOLUTION OF A HEAT CONDUCTION EQUATION [PDF]
Applied Computer Science, 2012 A multivariate data fitting procedure, based on the Galerkin minimization method, is studied in this paper. The main idea of the developed approach consists in projecting the set of data points from the original, higherdimensional space, onto a line ...
Krzysztof NAKONIECZNY
doaj
Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems
Journal of Applied Mathematics, 2012 This paper studies least-squares parameter estimation algorithms for input nonlinear systems, including the input nonlinear controlled autoregressive (IN-CAR) model and the input nonlinear controlled autoregressive autoregressive moving average (IN ...
Weili Xiong, Wei Fan, Rui Ding
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Sensors, 2015 Model performance of the partial least squares method (PLS) alone and bagging-PLS was investigated in online near-infrared (NIR) sensor monitoring of pilot-scale extraction process in Fructus aurantii.
Xiaoning Pan +6 more
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Learning performance of regularized moving least square regression
Journal of Computational and Applied Mathematics, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hongzhi Tong, Qiang Wu 0003
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