In the past few years meshless methods for numerically solving partial differential equations have come into the focus of interest, especially in the engineering community. This class of …
D Mirzaei, R Schaback… - IMA Journal of Numerical …, 2012 - ieeexplore.ieee.org
The moving least squares (MLS) method provides an approximation û of a function u based solely on values u (xj) of u on scattered 'meshless' nodes x j. Derivatives of u are usually …
WY Tey, NA Che Sidik, Y Asako… - Journal of Applied and …, 2021 - jacm.scu.ac.ir
The concise review systematically summarises the state-of-the-art variants of Moving Least Squares (MLS) method. MLS method is a mathematical tool which could render cogent …
X Li - Applied Numerical Mathematics, 2016 - Elsevier
The moving least square (MLS) approximation is one of the most important methods to construct approximation functions in meshless methods. For the error analysis of the MLS …
X Li, S Li - Computers & Mathematics with Applications, 2016 - Elsevier
In this paper, the stability of the moving least squares (MLS) approximation and a stabilized MLS approximation is analyzed theoretically and verified numerically. It is shown that the …
M Dehghan, R Salehi - Journal of Computational and Applied Mathematics, 2012 - Elsevier
This article investigates the numerical solution of the nonlinear integro-differential equations. The numerical scheme developed in the current paper is based on the moving least square …
This article describes a numerical scheme based on the moving least squares (MLS) method for solving integral equations in one-and two-dimensional spaces. For the MLS …
Alors qu'elle n'en est qu'à ses balbutiements en France, la sociologie de l'islamophobie se développe rapidement, depuis environ une décennie, dans de nombreuses universités …
A Golbabai, O Nikan - Computational Economics, 2020 - Springer
The mathematical modeling in trade and finance issues is the key purpose in the computation of the value and considering option during preferences in contract. This paper …