数学
吉布斯现象
解算器
离散化
傅里叶级数
继续
序列(生物学)
应用数学
椭圆偏微分方程
理论(学习稳定性)
数学分析
交替方向隐式方法
背景(考古学)
趋同(经济学)
颂歌
偏微分方程
数学优化
计算机科学
有限差分法
机器学习
生物
古生物学
经济
程序设计语言
遗传学
经济增长
作者
Mark Lyon,Oscar P. Bruno
标识
DOI:10.1016/j.jcp.2010.01.006
摘要
A new PDE solver was introduced recently, in Part I of this two-paper sequence, on the basis of two main concepts: the well-known Alternating Direction Implicit (ADI) approach, on one hand, and a certain “Fourier Continuation” (FC) method for the resolution of the Gibbs phenomenon, on the other. Unlike previous alternating direction methods of order higher than one, which only deliver unconditional stability for rectangular domains, the new high-order FC-AD (Fourier-Continuation Alternating-Direction) algorithm yields unconditional stability for general domains—at an O(Nlog(N)) cost per time-step for an N point spatial discretization grid. In the present contribution we provide an overall theoretical discussion of the FC-AD approach and we extend the FC-AD methodology to linear hyperbolic PDEs. In particular, we study the convergence properties of the newly introduced FC(Gram) Fourier Continuation method for both approximation of general functions and solution of the alternating-direction ODEs. We also present (for parabolic PDEs on general domains, and, thus, for our associated elliptic solvers) a stability criterion which, when satisfied, ensures unconditional stability of the FC-AD algorithm. Use of this criterion in conjunction with numerical evaluation of a series of singular values (of the alternating-direction discrete one-dimensional operators) suggests clearly that the fifth-order accurate class of parabolic and elliptic FC-AD solvers we propose is indeed unconditionally stable for all smooth spatial domains and for arbitrarily fine discretizations. To illustrate the FC-AD methodology in the hyperbolic PDE context, finally, we present an example concerning the Wave Equation—demonstrating sixth-order spatial and fourth-order temporal accuracy, as well as a complete absence of the debilitating “dispersion error”, also known as “pollution error”, that arises as finite-difference and finite-element solvers are applied to solution of wave propagation problems.
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