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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
Driving behaviors, induced by psychological activities and environment stimulation, impose
the dominant impact on vehicle driving performance. To exhaustively improve the …
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
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 …
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 …
presented. The method is inspired by the front-tracking approaches where only the …
A robust moving total least-squares fitting method for measurement data
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 …
been widely used for fitting measurement data. They can be used to achieve good …