Moving least squares method and its improvement: A concise review

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 …

An adaptive phase-field model based on bilinear elements for tensile-compressive-shear fracture

Q Yue, W Zhou, Q Wang, YT Feng, G Ma… - Computers & Mathematics …, 2022 - Elsevier
An efficient adaptive phase-field method based on bilinear elements for tensile-compressive-
shear fracture is developed. On the one hand, refined meshes are needed near the crack …

State of charge estimation for lithium-ion batteries under varying temperature conditions based on adaptive dual extended Kalman filter

W Bai, X Zhang, Z Gao, S Xie, Y Chen, Y He… - Electric Power Systems …, 2022 - Elsevier
Accurate estimation of the state-of-charge (SOC) is of extreme importance for the reliability
and safety of lithium-ion battery operation, for prevention of overcharge, deep discharge …

Simple and robust element-free Galerkin method with almost interpolating shape functions for finite deformation elasticity

G Bourantas, BF Zwick, GR Joldes, A Wittek… - Applied mathematical …, 2021 - Elsevier
In this paper, we present a meshless method belonging to the family of element-free
Galerkin (EFG) methods. The presented meshless method allows accurate enforcement of …

Application of the partial least square regression method in determining the natural background of soil heavy metals: A case study in the Songhua River basin, China

Y Sun, Y Zhao, L Hao, X Zhao, J Lu, Y Shi, C Ma… - Science of The Total …, 2024 - Elsevier
The “background” is an essential index for identifying anthropogenic inputs and potential
ecological risks of soil heavy metals. However, the lithology of bedrock can cause significant …

An improved element-free Galerkin method based on the dimension splitting moving least-squares method for 2D potential problems in irregular domains

F Sun, J Wang, Y Wu, Q Wei - International Journal of Applied …, 2022 - World Scientific
By introducing the dimension splitting (DS) method into the moving least-squares (MLS)
approximation, a dimension splitting moving least-squares (DS-MLS) method is proposed in …

Driving behavior oriented torque demand regulation for electric vehicles with single pedal driving

Y Zhang, Y Huang, H Chen, X Na, Z Chen, Y Liu - Energy, 2021 - Elsevier
Driving behaviors, induced by psychological activities and environment stimulation, impose
the dominant impact on vehicle driving performance. To exhaustively improve the …

An adaptive orthogonal improved interpolating moving least-square method and a new boundary element-free method

Q Wang, W Zhou, YT Feng, G Ma, Y Cheng… - Applied Mathematics and …, 2019 - Elsevier
The improved interpolating moving least-square (IIMLS) method has been widely used in
data fitting and meshfree methods, and the obtained shape functions have the property of …

A novel highly efficient Lagrangian model for massively multidomain simulation applied to microstructural evolutions

S Florez, K Alvarado, DP Muñoz, M Bernacki - Computer Methods in …, 2020 - Elsevier
In this paper, a new method for the simulation of evolving multi-domains problems will be
presented. The method is inspired by the front-tracking approaches where only the …

A robust moving total least-squares fitting method for measurement data

T Gu, Y Tu, D Tang, T Luo - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The moving least-squares (MLS) and moving total least-squares (MTLS) methods have
been widely used for fitting measurement data. They can be used to achieve good …