1) complex singular matrix
奇异复矩阵
1.
In this paper,obtains a more close conclusion through Schur s inequality -a way estimating upper boundary of square of module of characteristic value of a complex matrix;as a result,gives a way estimating upper boundary of module of characteristic value of a complex singular matrix.
利用复矩阵特征值模之平方的上界估计方法一舒尔不等式(schur's inequatlity)得出更加逼近的 结论:并由此结果给出奇异复矩阵特征值模之上界的一种估计方法。
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) Nonsingular complex positive semidefinite matrix
非奇异复半正定矩阵
4) singular values of a matrix
矩阵奇异值;矩阵奇异值
5) non-singular matrix
非奇异矩阵
1.
If A is non-singular matrix,the equation Xm=A has finitely many solutions.
当矩阵是非奇异矩阵时,它的m次矩阵根是有限个,特别是一个非奇异的Jordan块的m次矩阵根有m个。
6) nonsingular matrix
非奇异矩阵
1.
In this paper,the singular value of nonsingular matrix A is ordered,By the use of the arithmetic-geometric mean inequality and the properties of singular value of matrices,We obtain some inequalities of sum and product of the singular value.
本文给出非奇异矩阵A的奇异值的从大到小的排列,利用代数-几何均值不等式以及矩阵奇异值的性质,得到矩阵奇异值和与积的一些不等式,而这些不等式仅仅用到k,l,n矩阵的迹与行列式。
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