Solving PDEs with radial basis functions *

IF 16.3 1区 数学 Q1 MATHEMATICS Acta Numerica Pub Date : 2015-04-27 DOI:10.1017/S0962492914000130
B. Fornberg, N. Flyer
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引用次数: 229

Abstract

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.
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用径向基函数求解偏微分方程*
有限差分提供了第一个数值方法,允许在许多应用领域进行大规模模拟,例如地球物理流体动力学。随着精度和积分时间要求的逐渐提高,人们的关注点从有限差分转向了各种不同的光谱方法。在过去的几年里,径向基函数,特别是它们的“局部”RBF-FD形式,已经迈出了重要的一步,从主要是用于小规模PDE“玩具问题”的好奇方法,变成了在高级分布式存储计算机系统上进行大型模拟的主要竞争者。由于完全没有网格,RBF-FD离散化也特别容易实现,即使在需要局部细化时也是如此。本文介绍了这一发展的一些背景,并重点介绍了一些最近的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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