1) singular matrix
奇异矩阵;不可逆矩阵
2) singular matrix
奇异矩阵
1.
The means to find out M - in a singular matrix and the occasions suitable to the regression were suggested.
介绍了广义逆M-回归的统计学原理和基本特征 ;提出了在奇异矩阵M中找出M-的方法以及适合M-回归的场合。
2.
Based on the original precise integration method,the problem that singular matrix appeares in non-homogeneous equation was discussed.
在原有精细积分法的基础上,对非齐次方程出现奇异矩阵的问题进行探讨。
3.
LU decomposition is a triangular decomposition approach of non-singular matrix, and the digital image can be seen as a matrix.
LU分解是一种将非奇异矩阵进行三角分解的方法,而数字图像也可以看作矩阵。
3) invertible matrix
可逆矩阵
1.
The adjoint matrix of the inverse matrix for an invertible matrix over a nonnegative commutative semiring;
非负交换半环上可逆矩阵的伴随矩阵
2.
The method makes use of an elementary transformation of mastrix to find the solution of an invertible matrix.
给出了利用矩阵的初等行变换求可逆矩阵的伴随矩阵的一种简便方法。
3.
As an example of the application of some knowledge of Linear Algebra,this paper discusses the application of an invertible matrix in secure communication,some basic problems of this application,and the solutions to these problems.
作为工科“线性代数”课中相关知识的一个具体应用的例子,从理论与实践相结合的角度论述了可逆矩阵在保密通信中的应用及其存在的问题与对策等。
4) reversible matrix
可逆矩阵
1.
Necessary and sufficient condition for an integral matrix to be embeddable in a reversible matrix on the integral ring;
整数矩阵可嵌入整数环上的可逆矩阵的充要条件
2.
In order to make the evaluation of the determinant of n-order simpler,this article presents a practical method to calculate the determinant of n-th order through block matrix and reversible matrix.
为使n阶行列式的求值更加简便,给出了一种运用分块矩阵的乘法和可逆矩阵计算n阶行列式的实用方法。
3.
The relations among three sorts of primary transformation of the matrix are discussed;the reversible matrix can be written as the product of the two primary matrices,i.
讨论了矩阵的三种初等变换的关系,可逆矩阵可写成Di(k)、Tij(k)两种类型初等矩阵的乘积,以及初等变换在分块矩阵中的简单应用。
6) inverse matrix
可逆矩阵
1.
The unique existence of determinant mapping is proved only by the multiplication of matrix and definite of inverse matrix.
仅在已知矩阵的乘法运算以及矩阵的逆的定义的条件下,证明数域F上全体可逆矩阵GL(F)到非零数集F*的行列式映射是唯一存在
补充资料：非奇异矩阵
非奇异矩阵
non-angular matrix:
非奇异矩阵工叨一由卿面r口.翻玩;Heoco6e皿四M帅料a]，非退化矩阵(non吐粤冠盼te“坦tr议) 其行列式不等于零的方阵(闪业祀n.让议).对于一个域上的方阵A，非奇异性等价于下述条件之一:l)A是可逆的;2)A的诸行(列)是线性无关的;3)A可以通过初等行(列)变换化为单位矩阵. 0 .A.价aHoBa撰
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条