计算矩阵的秩：这是数值处理的一个基本要求，经常要用到。
Calculate rank of matrix: This is a basic requirement for numerical processing is usually used.
通过对幂零矩阵的秩的研究，给出了一般方阵幂的秩的求法。
By researching nilpotent matrix rank, a solution is obtained for general matrix power rank.
讨论了线性代数中矩阵的秩、向量组的秩与线性方程组的秩之间的关系。
This paper describes the relationship between the rank of matrix, the rank of vector group and liner equation group in the linear algebra.
利用矩阵的秩给出一元多项式整除性的判定定理，同时给出商式的简便求法。
This text that make use of the order of matrix gives outs the unitary polynomials divide exactly theorem of judgment; And give a simple and convenient method about quotients type at the same time.
我们将体上矩阵的秩推广为含幺环上矩阵的B-秩，并研究了含幺环上矩阵的B—秩的性质。
We generalize the rank of matrices over a division ring to the B-rank of matrices over a ring with identity and study properties for the B-rank of matrices over a ring with identity.
假设不确定性为矩阵多胞形结构不确定性，利用矩阵的秩- 1分解，得出系统鲁棒稳定的充分条件。
We also derive the sufficient conditions of robust stability by rank-1 decomposition of the matrix under the assumption that uncertainty is matrix polytope structured uncertainty.
利用齐次线性方程组解的理论讨论矩阵的秩，给出几个关于矩阵秩的著名不等式的证明，并证明了两个命题。
The article discusses rank of a matrix by the solution theorem of system of homogeneous linear equations, and proves several famous inequalities and two propositions on rank of a matrix.
利用齐次线性方程组解的理论讨论矩阵的秩，给出几个关于矩阵秩的著名不等式的证明，并证明了两个命题。
The judgment theorems for locating correctness were concluded by skillfully combining the solutions of homogenous linear equations with locating schemes.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
字典定义失明为“没有视觉”，但是失明实际分为很多级别。我们把这个矩阵的秩定义为它所包含的线性无关行的数目。
Dictionaries define blindness as "being without the sense of sign, " but there are many degrees of blindness.
将行列式的值、矩阵的秩、齐次线性方程组的解等知识运用于向量组线性相关性判定，归纳出六种判定向量组线性相关性的方法。
The judging methods of the vectors group related dependence from determinant values, rank of matrix, solution of system of linear equations etc were studied.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
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