Results 11 to 20 of about 66,673 (199)

Stable Moving Least-Squares [PDF]

Journal of Approximation Theory, 2009
Local polynomial fitting in a least squares sense is a common technique in scattered data approximation. However, some known error bounds indicate that the error may become rather large for certain configurations of the given data points. In this paper, the author proves that these bounds are indeed realistic and proposes a modified technique, called ...
Yaron Lipman, Lipman, Yaron
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Moving least-squares are Backus-Gilbert optimal [PDF]

Journal of Approximation Theory, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BOS, LEONARD PETER, SALKAUKSAS K.
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Error analysis of a least squares pseudo-derivative moving least squares method [PDF]

Proyecciones (Antofagasta), 2017
Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules, French, Donald A., Osorio, Mauricio   +2 more
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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 \
David Levin
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Data-dependent moving least squares [PDF]

Applied Numerical Mathematics
In this paper, we address a data dependent modification of the moving least squares (MLS) problem. We propose a novel approach by replacing the traditional weight functions with new functions that assign smaller weights to nodes that are close to discontinuities, while still assigning smaller weights to nodes that are far from the point of ...
David Levin, José M. Ramón, Juan Ruiz-Álvarez, Dionisio F. Yáñez   +3 more
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Hermite type moving-least-squares approximations [PDF]

Computers & Mathematics with Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Z. Komargodski, David Levin
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Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function [PDF]

Civil Engineering Dimension, 2007
In recent years, meshless methods have gained their popularity, mainly due to the fact that absolutely no elements are required to discretize the problem domain.
Effendy Tanojo
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Moving Windows Prediction of Refined, Bleached and Deodorized Palm Oil Quality Using Multiple Least Squares and Partial Least Squares Regressions

Chemical Engineering Transactions, 2020
With the goal of shaping a smart, economically-sustainable palm oil refining industry, this paper aims to improve the prediction modelling of Refined, Bleached and Deodorized Palm Oil (RBDPO) quality for early quality fault detection and remediation via ...
Wai Hoong Khu, Nor Adhihah Rashid, Mohd. Aiman Mohd. Noor, Nur Atikah Mohd Rosely, Azmer Shamsuddin, Kamarul Asri Ibrahim, Mohd. Kamaruddin Abd. Hamid   +6 more
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A Dimension Splitting-Interpolating Moving Least Squares (DS-IMLS) Method with Nonsingular Weight Functions

Mathematics, 2021
By introducing the dimension splitting method (DSM) into the improved interpolating moving least-squares (IMLS) method with nonsingular weight function, a dimension splitting–interpolating moving least squares (DS-IMLS) method is first proposed.
Jufeng Wang, Fengxin Sun, Rongjun Cheng
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Analysis of a plane stress wave by the moving least squares method [PDF]

Biuletyn Wojskowej Akademii Technicznej, 2014
A meshless method based on the moving least squares approximation is applied to stress wave propagation analysis. Two kinds of node meshes, the randomly generated mesh and the regular mesh are used.
Wojciech Dornowski
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