1.
The Moore-Penrose Inverse for Product of Two Matrices over PID;
PID环上二矩阵乘积的Moore-Penrose逆
2.
On Reverse Order Law for {1 ,3M ,4N}-inverse of Two Matrix Product
两矩阵乘积的{1,3M,4N}-逆的反序
3.
We call a matrix the generalized cyclic matrix if it can be written the product of a nonsingular diagonal matrix and a cyclic matrix.
可表为非奇异对角矩阵和循环矩阵乘积的矩阵，我们称其为广义循环矩阵。
4.
An Equivalent Condition of Reverse Order Laws for Least Squares G-Inverses and Minimum Norm G-Inverses of Products of Two Matrices;
两个矩阵乘积{1,3}-逆和{1,4}-逆反序律的一个充要条件
5.
The Lower Bound of the Determinant for Hadamard Product of an Inverse M-matrix and a Positive Definite Matrix;
逆M-矩阵与正定矩阵Hadamard乘积行列式的下界
6.
Solving a Kind of Multiplication of Matrix by Elementary Operation;
利用矩阵的初等变换求一类矩阵的乘积
7.
On the Expression of the Block Matrix of the Sum and Product Sequence of Matrix;
关于矩阵的和与乘积秩的分块矩阵表示
8.
Geometric Mean of Khatri-Rao and Tracy-Singh Products of Matrix;
矩阵的Khatri-Rao与Tracy-Singh乘积的几何平均
9.
block multiplication of matrices
矩阵的分块乘法;矩阵的分块乘法;矩阵分块乘法;矩阵分块乘法
10.
Study of graph corresponding to product of two adjacency matrices to two circulant graphs
两个循环图的邻接矩阵的乘积矩阵对应图的研究
11.
Study of Digraph Corresponding to Prodnct Matrix of Adjacency Matrix of Any Two Circulaut Digraph;
两个有向循环图的邻接矩阵的乘积矩阵对应有向图的研究
12.
Matrix Volume Method of the Mean Square Deviation Computation of Least Square Solution
最小二乘估值均方差计算的矩阵体积法
13.
Analysis of Algorithm and Time Complexity on the Optimum Order of Matrix Chain Multiplication;
矩阵链乘积最优计算次序问题的算法及其复杂性分析
14.
Maps Preserving Numerical Radius or Cross Norms of Products on 2×2 Matrix Algebras
二阶矩阵代数上保乘积数值半径或交叉范数的映射
15.
Generalized Inverse Matrices and Properties of Kronecker Product of Matrices over;
有限域F_q上矩阵的广义逆及矩阵Kronecker积
16.
On the Matrix Inequalitiy for the Hadamard Product of Positive Semidefinite Matrices
关于半正定矩阵Hadamard积的矩阵不等式
17.
Application of Permute Matrix in the Commutation of Tensor Products of Matrices
换位矩阵在矩阵张量积交换中的应用
18.
The theory of the imaginary part matrix of the complex matrix is put into two vector product sum by using the elementary transformation of the matrix of unchanging the matrix rank.
将复数矩阵的虚部矩阵应用矩阵的初等变换不改变其秩的理论,分解成两个向量乘积之和分解式。