Fast High-Order Integral Equation Methods for Solving Boundary Value Problems of Two Dimensional Heat Equation in Complex Geometry
Fast High-Order Integral Equation Methods for Solving Boundary Value Problems of Two Dimensional Heat Equation in Complex Geometry
复制标题
求解复杂几何二维热方程边值问题的快速高阶积分方程法
DOI:
10.1007/s10915-018-0872-x
复制
发表时间:
2019
影响因子:
2.5
通讯作者:
Wang, Jing
中科院分区:
文献类型:
--
作者:
Wang, Shaobo;Jiang, Shidong;Wang, Jing
Efficient high-order integral equation methods have been developed for solving boundary value problems of the heat equation in complex geometry in two dimensions. First, the classical heat potential theory is applied to convert such problems to Volterra integral equations of the second kind via the heat layer potentials, where the unknowns are only on the space–time boundary. However, the heat layer potentials contain convolution integrals in both space and time whose direct evaluation requireswork andstorage, whereis the total number of discretization points on the spatial boundary andis the total number of time steps. In order to evaluate the heat layer potentials accurately and efficiently, they are split into two parts—the local part containing the temporal integration fromtotand the history part containing the temporal integration from 0 to. The local part can be dealt with efficiently using conventional fast multipole type algorithms. For problems with complexstationarygeometry, efficient separated sum-of-exponentials approximations are constructed for the heat kernel and used for the evaluation of the history part. Here all local and history kernels are compressed only once. The resulting algorithm is very efficient with quasilinear complexity in both space and time for both interior and exterior problems. For problems with complexmovinggeometry, the spectral Fourier approximation is applied for the heat kernel and nonuniform FFT is used to speed up the evaluation of the history part of heat layer potentials. The performance of both algorithms is demonstrated with several numerical examples.
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DOI:
10.1137/080732389
发表时间:
2009
期刊:
SIAM J. Sci. Comput.
影响因子:
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作者:
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