Results 71 to 80 of about 66,673 (199)

MOVING LEAST-SQUARES APPROXIMATION TO BE USED WITH MESHLESS NUMERICAL ANALYSIS METHODS

Civil Engineering Dimension, 2002
in Bahasa Indonesia : Meshless Numerical Analysis Method adalah suatu metode analisa numerik yang berkembang dengan pesat sebagai alternatif metode elemen hingga (Finite Element Method) yang sudah cukup terkenal.
Pamuda Pudjisuryadi
doaj  

Seafloor Point Refinement for Airborne LiDAR Bathymetry Based on Neighborhood Adaptive Moving Least Squares

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Airborne LiDAR bathymetry (ALB) can seamlessly measure land and shallow water areas. However, many factors lead to point cloud thickness and stratification of adjacent swaths, which are unfavorable for generating seafloor topographic maps.
Yadong Guo, Wenxue Xu, Yanxiong Liu, Fanlin Yang, Xue Ji, Zhipeng Dong, Kai Guo, Zhen Guo   +7 more
doaj   +1 more source

H.: Moving least squares multiresolution surface approximation [PDF]

, 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 inital triangulation.
Luiz Velho, Luiz Henrique, De Figueiredo, Boris Mederos   +3 more
core  

3D tooth semi-closed hole-filling algorithm based on the moving least-squares method

Virtual Reality & Intelligent Hardware
Large-area semi-closed holes on the lateral surfaces of tooth models can cause difficulties in subsequent orthodontic tasks, such as collision detection and finite element analysis, and may affect the accuracy and stability of further processing.
Hongan LI, Kun YANG, Long PENG, Qingfang LIU   +3 more
doaj   +1 more source

Robust estimation of the vector autoregressive model by a least trimmed squares procedure. [PDF]

The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is typically done by a least squares procedure.
Croux, Christophe, Joossens, Kristel
core  

Robust estimation of the vector autoregressive model by a trimmed least squares procedure. [PDF]

The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is done by a least squares procedure. However, this estimation method is unreliable when outliers are present in the data, and there is a need
Croux, Christophe, Joossens, Kristel
core  

Data-adaptive Image Zooming based on Moving Least-squares [PDF]

, 2010
Image interpolation is a prime technique in many application. In this thesis, we propose an edge-directed non-linear interpolation algorithm for image zooming based on moving least squares method.
조하나
core  

A Reformulation of Weighted Least Squares Estimators [PDF]

, 2009
This article studies weighted, generalized, least squares estimators in simple linear regression with serially correlated errors. Closed-form expressions of weighted least squares estimators and variances are presented under some common stationary ...
Lee, Jaechoul
core   +1 more source

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  

Analysis of Meshfree Galerkin Methods Based on Moving Least Squares and Local Maximum-Entropy Approximation Schemes

Mathematics
Over 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
doaj   +1 more source