Reduction of a generalized matrix of polynomial elements to triangular form on the IBM 704

ACM '59 Pub Date : 1959-09-01 DOI:10.1145/612201.612237
P. B. Davenport
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Abstract

A new method [1], developed by the author, for reducing matrices with polynomial elements (hereafter referred to as lambda-matrices) to triangular form is presented. The method presented has been programmed on the IBM 704. The process may be used for various applications such as obtaining the characteristic equation of a constant matrix A,| λI-A| = 0, determining the characteristic equation for generalized lambda-matrices such as those which arise in systems of linear differential equations with constant coefficients, and providing a mathematical solution in analytical form of such systems.Existing computer programming methods for obtaining the characteristic equation of lambda-matrices employ some variation of the method of determinants. It is well known that the computing time for such methods increases rapidly as the order of the matrix increases. The method presented requires far fewer operations than determinant methods and although it is equivalent to the division algorithm for polynomials discussed in [2], it has an advantage over this method in that it does not require polynomial division and replaces general polynomial multiplication with a trivial form of this operation.The paper is presented in three sections; (1) the mathematical method employed in the reduction, (2) some special programming techniques, and (3) a brief description of the scaling techniques used.
在IBM 704上将多项式元素的广义矩阵约化为三角形形式
本文提出了一种新的方法[1],将多项式元矩阵(以下简称λ矩阵)约化为三角形形式。该方法已在IBM 704上实现。该过程可用于各种应用,如获得常数矩阵a的特征方程,| λI-A| = 0,确定广义λ矩阵的特征方程,如在常系数线性微分方程系统中出现的特征方程,并提供这种系统的解析形式的数学解。现有的求矩阵特征方程的计算机程序设计方法采用了行列式方法的一些变体。众所周知,这种方法的计算时间随着矩阵阶数的增加而迅速增加。本文提出的方法比行列式方法需要的运算要少得多,虽然它相当于[2]中讨论的多项式的除法算法,但与该方法相比,它的优点在于不需要多项式除法,并且用该运算的平凡形式代替了一般的多项式乘法。本文分为三个部分;(1)约简中采用的数学方法,(2)一些特殊的规划技术,(3)所使用的标度技术的简要描述。
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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