Some observations regarding the RBF-FD approximation accuracy dependence on stencil size
arXiv:2404.03793 · doi:10.1016/j.jocs.2024.102284
Abstract
When solving partial differential equations on scattered nodes using the Radial Basis Function-generated Finite Difference (RBF-FD) method, one of the parameters that must be chosen is the stencil size. Focusing on Polyharmonic Spline RBFs with monomial augmentation, we observe that it affects the approximation accuracy in a particularly interesting way - the solution error oscillates under increasing stencil size. We find that we can connect this behaviour with the spatial dependence of the signed approximation error. Based on this observation we are able to introduce a numerical quantity that could indicate whether a given stencil size is locally optimal. This work is an extension of our ICCS 2023 conference paper.
Published in the Journal of Computational Science, 12 pages, 15 Figures. arXiv admin note: text overlap with arXiv:2303.02252
References in corpus (9)
- On generation of node distributions for meshless PDE discretizations
- Hyperviscosity-Based Stabilization for Radial Basis Function-Finite Difference (RBF-FD) Discretizations of Advection-Diffusion Equations
- The Overlapped Radial Basis Function-Finite Difference (RBF-FD) Method: A Generalization of RBF-FD
- Adaptive Radial Basis Function-generated Finite Differences method for contact problems
- Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods
- Monomial augmentation guidelines for RBF-FD from accuracy vs. computational time perspective
- Fast variable density node generation on parametric surfaces with application to mesh-free methods
- Strong form mesh-free -adaptive solution of linear elasticity problem
- Implicit-Explicit Error Indicator based on Approximation Order