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 …
Recently, because of simplicity of meshless methods, they have been employed for solving many partial differential equations. One of the meshless methods is element free Galerkin …
C Lu, H Li, L Han, B Keshtegar, CW Fei - Aerospace Science and …, 2023 - Elsevier
The low cycle fatigue (LCF) life of aeroengine turbine blisk endures uncertain and transient loads from multi-physical fields, so that it is necessary to evaluate the LCF life for improving …
This study presents the peridynamic approximation of a field variable and its temporal and spatial derivatives based on least squares minimization. Such capability permits the …
OA Arqub, MS Osman, C Park, JR Lee… - Alexandria Engineering …, 2022 - Elsevier
It is notable that, the nonlocal reaction-diffusion equation carries math and computational physics to the core of extremely dynamic multidisciplinary studies that emerge from a huge …
X Li - Applied Mathematical Modelling, 2018 - Elsevier
The complex variable element-free Galerkin (CVEFG) method is an efficient meshless Galerkin method that uses the complex variable moving least squares (CVMLS) …
M Xu, L Zhang, E Tohidi - Applied Numerical Mathematics, 2021 - Elsevier
Increased attention has been paid on numerical modeling of interface problems as its wide applications in various aspects of science. Motivated by enhancing the application of the …
In this paper, the basis functions are firstly constructed by employing the reproducing kernel functions (RKFs). Based on these basis functions and an appropriate choice of the …