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A NEW ALGORITHM FOR SOLVING THE HELMHOLTZ EQUATION WITH HIGH WAVENUMBERS

机译:一种求解Helmholtz方程的新算法

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This paper investigates the pollution effect, and explores the feasibility of a wavelet based local spectral method, the discrete singular convolution (DSC) algorithm for solving the Helmholtz equation with high wavenumbers. The Fourier analysis is employed to study the dispersive error of the DSC algorithm. Our analysis of dispersive errors indicates that the DSC algorithm yields a dispersion vanishing scheme. The dispersion analysis is further confirmed by the numerical results. For one- and higher-dimensional Helmholtz equations, the DSC algorithm is shown to be an essentially pollution free scheme. Furthermore, for large scale computation, the grid density of the DSC algorithm can be close to the optimal two grid points per wavelength. The present study reveals that the DSC algorithm is accurate and efficient for solving the Helmholtz equation with high wavenumbers.
机译:本文研究了污染效果,探讨了基于小波的局部光谱法,离散奇异卷积(DSC)算法与高脉络求解亥姆霍兹方程的可行性。 傅里叶分析用于研究DSC算法的分散误差。 我们对分散误差的分析表明DSC算法产生了分散消失方案。 通过数值结果进一步证实了分散分析。 对于单维和高维的Helmholtz方程,DSC算法被示出为基本上污染的无污染方案。 此外,对于大规模计算,DSC算法的网格密度可以接近每个波长的最佳两个网格点。 本研究表明,DSC算法对于求解高挥杆器的亥姆霍兹方程是准确和有效的。

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