HIGHER ORDER A-STABLE SCHEMES FOR THE WAVE EQUATION USING A SUCCESSIVE CONVOLUTION APPROACH

被引:12
作者
Causley, Matthew F. [1 ]
Christlieb, Andrew J. [1 ,2 ]
机构
[1] Michigan State Univ, Dept Math, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA
基金
美国国家科学基金会;
关键词
method of lines transpose; transverse method of lines; implicit methods; boundary integral methods; alternating direction implicit methods; ADI schemes; higher order schemes; multiderivative schemes; FDTD ALGORITHM; STABILITY; ACCURACY;
D O I
10.1137/130932685
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In several recent works, we developed a new second order, A-stable approach to wave propagation problems based on the method of lines transpose (MOLT) formulation combined with alternating direction implicit (ADI) schemes. Because our method is based on an integral solution of the ADI splitting of the MOLT formulation, we are able to easily embed non-Cartesian boundaries and include point sources with exact spatial resolution. Further, we developed an efficient O(N) convolution algorithm for rapid evaluation of the solution, which makes our method competitive with explicit finite difference (e.g., finite difference time domain) solvers, in terms of both accuracy and time to solution, even for Courant numbers slightly larger than 1. We have demonstrated the utility of this method by applying it to a range of problems with complex geometry, including cavities with cusps. In this work, we present several important modifications to our recently developed wave solver. We obtain a family of wave solvers which are unconditionally stable, accurate of order 2P, and require O((PN)-N-d) operations per time step, where N is the number of spatial points and d the number of spatial dimensions. We obtain these schemes by including higher derivatives of the solution, rather than increasing the number of time levels. The novel aspect of our approach is that the higher derivatives are constructed using successive applications of the convolution operator. We develop these schemes in one spatial dimension, and then extend the results to higher dimensions, by reformulating the ADI scheme to include recursive convolution. Thus, we retain a fast, unconditionally stable scheme, which does not suffer from the large dispersion errors characteristic to the ADI method. We demonstrate the utility of the method by applying it to a host of wave propagation problems. This method holds great promise for developing higher order, parallelizable algorithms for solving hyperbolic PDEs and can also be extended to parabolic PDEs.
引用
收藏
页码:220 / 235
页数:16
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