arrow
Return

Solving PDEs with radial basis functions

delete2015-04-27
delete220
PRE
AI
B
Bengt Fornberg *
N
Natasha Flyer
DOI:10.1017/S0962492914000130delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Finite differences provided the first numerical approach that permitted large-scale simulations in many applications areas, such as geophysical fluid dynamics. As accuracy and integration time requirements gradually increased, the focus shifted from finite differences to a variety of different spectral methods. During the last few years, radial basis functions, in particular in their 'local' RBF-FD form, have taken the major step from being mostly a curiosity approach for small-scale PDE 'toy problems' to becoming a major contender also for very large simulations on advanced distributed memory computer systems. Being entirely mesh-free, RBF-FD discretizations are also particularly easy to implement, even when local refinements are needed. This article gives some background to this development, and highlights some recent results.
Keywords:
FINITE-DIFFERENCE SCHEMES
DATA APPROXIMATION SCHEME
SHALLOW-WATER EQUATIONS
SCATTERED DATA
THERMAL-CONVECTION
STABLE COMPUTATION
SPHERICAL-SHELL
MESHLESS METHOD
RBF-FD
INTERPOLATION
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Acta Numerica cover
Acta Numerica
IF:
11.3
Papers:
89
Citations:
3.4K

Organization

University of Colorado System cover
University of Colorado System
Scholars:
6.3W
Papers: 5.5W
Citations: 1.8K
U
university of colorado boulder
Scholars:
1.9W
Papers: 1.5W
Citations: 33