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A MULTISCALE WAVELET SOLVER WITH O(N) COMPLEXITY

机译:具有O(N)复杂度的多尺度小波求解器

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In this paper, we use the biorthogonal wavelets recently constructed by Dahlke and Weinreich to implement a highly efficient procedure for solving a certain class of one-dimensional problems, (partial derivative(2l)/partial derivative x(2l))u = f, I is an element of Z, I > 0. For these problems, the discrete biorthogonal wavelet transform allows us to set up a system of wavelet-Galerkin equations in which the scales are uncoupled, so that a true multiscale solution procedure may be formulated. We prove that the resulting stiffness matrix is in fact an almost perfectly diagonal matrix (the original aim of the construction was to achieve a block diagonal structure) and we show that this leads to an algorithm whose cost is O(n). We also present numerical results which demonstrate that the multiscale biorthogonal wavelet algorithm is superior to the more conventional single scale orthogonal wavelet approach both in terms of speed and in terms of convergence. (C) 1995 Academic Press, Inc. [References: 14]
机译:在本文中,我们使用Dahlke和Weinreich最近构造的双正交小波来实现一种高效的程序,用于解决一类一维问题,(偏导数(2l)/偏导数x(2l))u = f, I是Z的元素,I>0。对于这些问题,离散双正交小波变换使我们可以建立一个尺度不耦合的小波-Galerkin方程组,从而可以制定一个真正的多尺度解法。我们证明了所得的刚度矩阵实际上是几乎完美的对角矩阵(构造的原始目的是实现块对角线结构),并且我们证明了这导致了算法的成本为O(n)。我们还提供了数值结果,这些结果证明了多尺度双正交小波算法在速度和收敛性上均优于传统的单尺度正交小波方法。 (C)1995 Academic Press,Inc. [参考:14]

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