Numerical techniques for computing the inertia of products of matrices of rational numbers

Jon P. May, B. D. Saunders, D. Wood
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引用次数: 2

Abstract

Consider a rational matrix, particularly one whose entries have large numerators and denominators, but which is presented as a product of very sparse matrices with relatively small entries. We report on a numerical algorithm which computes the inertia of such a matrix in the nonsingular case and effectively exploits the product structure. We offer a symbolic/numeric hybrid algorithm for the singular case. We compare these methods with previous purely symbolic ones. By "purely symbolic" we refer to methods which restrict themselves to exact arithmetic and can assure that errors of approximation do not affect the results. Using an application in the study of Lie Groups as a plentiful source of examples of problems of this nature we explore the relative speeds of the numeric and hybrid methods as well as the range of applicability without error.
计算有理数矩阵积的惯性的数值技术
考虑一个有理数矩阵,特别是它的元素有很大的分子和分母,但是它被表示为具有相对较小元素的非常稀疏矩阵的乘积。本文报道了一种计算这种矩阵在非奇异情况下的惯性的数值算法,并有效地利用了乘积结构。我们提出了一种奇异情况下的符号/数字混合算法。我们将这些方法与以前的纯符号方法进行比较。所谓“纯符号的”,我们指的是那些把自己限制在精确算术范围内,并能保证近似误差不影响结果的方法。以李群研究中的一个应用为例,探讨了数值方法和混合方法的相对速度以及无误差的适用范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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