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On Fast Matrix-vector Multiplication In Wavelet Galerkin Bem

机译:小波Galerkin Bem中快速矩阵向量乘法的研究

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So far, the wavelet boundary element method (BEM) has been recognized as a different kind of fast BEM from the methods based on low-rank approximation, such as fast multipole method, panel clustering method and H~2-matrices.rnWe consider the matrix-vector multiplication in the wavelet Galerkin BEM [Tausch J. A variable order wavelet method for the sparse representation of layer potentials in the non-standard form. J Numer Math 2004;12(3):233-54]. We show that the system matrix of the wavelet Galerkin BEM can be transformed into a matrix with hierarchical structure by combining the forward and inverse wavelet transform in matrix-vector multiplications phase. The new system matrix only involves the data about the scaling functions. Any operations concerning the wavelet functions are thus avoided. A new version of matrix-vector multiplication scheme is proposed. We prove that the complexity of the new scheme never exceeds that of the old scheme.rnThis work: (1) simplifies the implementation wavelet Galerkin BEM; (2) bridges a link between the wavelet BEMs and the methods of low-rank approximation.
机译:到目前为止,小波边界元方法(BEM)已经被认为是与基于低秩逼近的快速BEM方法不同的方法,例如快速多极方法,面板聚类方法和H〜2-矩阵。小波Galerkin BEM中的矩阵矢量乘法[Tausch J.一种非标准形式的稀疏表示层电势的可变阶小波方法。 J Numer Math 2004; 12(3):233-54]。我们表明,通过在矩阵矢量乘法阶段组合正向和逆向小波变换,可以将小波Galerkin BEM的系统矩阵转换为具有分层结构的矩阵。新的系统矩阵仅包含有关缩放功能的数据。因此避免了与小波函数有关的任何操作。提出了一种新的矩阵向量乘法方案。我们证明了新方案的复杂性永远不会超过旧方案。这项工作:(1)简化了实现小波Galerkin BEM; (2)桥接小波边界元法和低秩逼近方法之间的联系。

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