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arXiv 0803.2371math.NAcs.NA
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结构化矩阵与逆

Structured matrices and inverses

Institute for Mathematics and its Applications, University of Minnesota(明尼苏达大学数学及其应用研究所);Thomson-Sintra(汤姆逊-辛特拉)

Pierre Comon

AI总结:

本文研究具有小位移秩的结构化矩阵,证明其多种逆(包括秩亏矩阵的Moore-Penrose逆)仍保持结构,从而实现快速求逆与存储优化。

摘要:

如果一个矩阵(及其关联的线性系统)具有小的位移秩,则称其为结构化的。已知结构化矩阵的逆是结构化的,这允许快速求逆(或求解),并减少存储需求。根据两种实际感兴趣的位移结构定义,本文证明了几种类型的逆也是结构化的,包括秩亏矩阵的Moore-Penrose逆。

英文摘要:

A matrix (and any associated linear system) will be referred to as structured if it has a small displacement rank. It is known that the inverse of a structured matrix is structured, which allows fast inversion (or solution), and reduced storage requirements. According to two definitions of displacement structure of practical interest, it is shown here that several types of inverses are also structured, including the Moore-Penrose inverse of rank-deficient matrices.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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