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Moving least-square method in learning theory
Journal of Approximation Theory, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hong-Yan Wang +2 more
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A moving least squares meshless method for solving the generalized Kuramoto-Sivashinsky equation
Alexandria Engineering Journal, 2016 We use a moving least squares meshless method to solve the nonlinear Kuramoto-Sivashinsky equation. The accuracy of the method is demonstrated by three test problems for which the numerical results are found to be in excellent agreement with analytical ...
E. Dabboura, H. Sadat, C. Prax
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IEEE Access, 2021 This paper proposes the wave peak frequency tracking methods based on the least squares identification algorithm. The wave disturbance model is transformed into an autoregressive moving average (ARMA) model and a recursive extended least squares (RELS ...
Jianping Yuan +4 more
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A risk-sensitive momentum approach to stock selection [PDF]
Ekonomski Anali, 2019 One of the main implications of Lo’s Adaptive Markets Hypothesis (2004, 2012, 2017) is that returns of virtually all assets can change over time.
Kalayil Tina +3 more
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Self-Adaptive Moving Least Squares Measurement Based on Digital Image Correlation
OpticsDigital image correlation (DIC) is a non-contact measurement technique used to evaluate surface deformation of objects. Typically, pointwise moving least squares (PMLS) fitting is applied to process the noisy data from DIC to obtain an accurate strain ...
Hengsi Zhu, Yurong Guo, Xiao Tan
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Divergence‐constrained moving least squares for fluid simulation [PDF]
Computer Animation and Virtual Worlds, 2008 AbstractDeveloping suitable interpolation methods to simulate dynamic motions of continuous materials such as fluids is an important problem. In this paper, we propose a novel method to enforce the divergence condition to the interpolated velocity field by moving least squares (MLS), by means of the diffusive derivatives and moving divergence ...
Jeong-Mo Hong +2 more
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Surfaces generated by moving least squares methods [PDF]
, 1981 An analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented. In particular, theorems are proved concerning the smoothness of interpolants and the description of m.l.s.
K. Salkauskas, P. Lancaster
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Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
A T-wave alternans assessment method based on least squares curve fitting technique [PDF]
, 2016 T-wave alternans (TWA) is hypothesized to be related with patients at an increased risk for ventricular arrhythmias. A novel TWA assessment method based on least squares curve fitting techniques (LSCF) is presented in this paper.
Wu, Minghu +5 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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