Modified moving least squares with polynomial bases for scattered data approximation
From MaRDI portal
Publication:669431
DOI10.1016/j.amc.2015.05.150zbMath1410.65019OpenAlexW2107967023MaRDI QIDQ669431
Barry Doyle, Grand Roman Joldes, Habibullah Amin Chowdhury, Karol Miller, Adam Wittek
Publication date: 15 March 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://research-repository.uwa.edu.au/en/publications/f4ef1387-211f-4532-943e-129abf6c32eb
moving least squaresscattered data approximationrandom point distributionrobust shape function generation
Related Items (17)
Numerical solution of two-dimensional Fredholm–Hammerstein integral equations on 2D irregular domains by using modified moving least-square method ⋮ An implicit potential method along with a meshless technique for incompressible fluid flows for regular and irregular geometries in 2D and 3D ⋮ A new method for essential boundary conditions imposition in explicit meshless methods ⋮ Nonparametric estimation of a function from noiseless observations at random points ⋮ Moving least-squares aided finite element method (MLS-FEM): a powerful means to predict pressure discontinuities of multi-phase flow fields and reduce spurious currents ⋮ Moving least-squares aided finite element method (MLS-FEM): a powerful means to consider simultaneously velocity and pressure discontinuities of multi-phase flow fields ⋮ Numerical solution for three-dimensional nonlinear mixed Volterra–Fredholm integral equations via modified moving least-square method ⋮ Separatrix reconstruction to identify tipping points in an eco-epidemiological model ⋮ Modified moving least squares method for two-dimensional linear and nonlinear systems of integral equations ⋮ Towards Visualising and Understanding Patient-Specific Biomechanics of Abdominal Aortic Aneurysms ⋮ Simple and robust element-free Galerkin method with almost interpolating shape functions for finite deformation elasticity ⋮ An adaptive orthogonal improved interpolating moving least-square method and a new boundary element-free method ⋮ An element free Galerkin method based on the modified moving least squares approximation ⋮ Regularized moving least-square method and regularized improved interpolating moving least-square method with nonsingular moment matrices ⋮ Families of non-linear subdivision schemes for scattered data fitting and their non-tensor product extensions ⋮ Strong-form approach to elasticity: hybrid finite difference-meshless collocation method (FDMCM) ⋮ WLS-ENO remap: superconvergent and non-oscillatory weighted least squares data transfer on surfaces
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A three-dimensional nonlinear meshfree algorithm for simulating mechanical responses of soft tissue
- Computation of intra-operative brain shift using dynamic relaxation
- Meshless methods: An overview and recent developments
- An adaptive dynamic relaxation method for solving nonlinear finite element problems. Application to brain shift estimation
- Meshfree Particle Methods
- A meshless Total Lagrangian explicit dynamics algorithm for surgical simulation
- Surfaces Generated by Moving Least Squares Methods
- Stable time step estimates for mesh‐free particle methods
- Regularization and Variable Selection Via the Elastic Net
- Least Squares Methods for Ill-Posed Problems with a Prescribed Bound
This page was built for publication: Modified moving least squares with polynomial bases for scattered data approximation
