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Fast Multilevel Computation of Low-Rank Representation of <span class="MathJax_Preview" style="">{\mathcal{ H}}</span><script type="math/tex" id="MathJax-Element-1">{\mathcal{ H}}</script> -Matrix Blocks | IEEE Journals & Magazine | IEEE Xplore

Fast Multilevel Computation of Low-Rank Representation of {\mathcal{ H}} -Matrix Blocks


Abstract:

A physics-based algorithm for accelerating the computation of method of moments matrix blocks' low-rank approximation is presented. The algorithm relies on efficient samp...Show More

Abstract:

A physics-based algorithm for accelerating the computation of method of moments matrix blocks' low-rank approximation is presented. The algorithm relies on efficient sampling of phase- and amplitude-compensated interactions using nonuniform grids. Rank-revealing analysis is applied, in a multilevel fashion, to matrices of reduced column and row dimensions that describe subdomains' interactions with these coarse grids, rather than to the original matrix blocks. As a result, significant savings are achieved, especially for the inherently more compressible dynamic quasi-planar and quasi-static cases. The algorithm's reduced storage and computation time requirements are estimated analytically and verified numerically for representative examples.
Published in: IEEE Transactions on Antennas and Propagation ( Volume: 64, Issue: 12, December 2016)
Page(s): 5326 - 5334
Date of Publication: 13 October 2016

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