1.
Dynamic study of multi-body system with floating base by homogeneous matrix approach
基于齐次矩阵方法的浮基多体动力学研究
2.
Adm issibility of Hom ogenous and Non┐hom ogenous Estim ateof Covariance Matrix in Growth Curve Model;
生长曲线模型中协方差矩阵的齐次和非齐次估计的可容许性
3.
Calculation of Basic Solution Matrix of Linear Homogeneous System with Constant Coefficients
常系数齐次线性微分方程组基解矩阵的求解
4.
Admissible Nonhomogenous Linear Estimator of Mean Vector Under Matrix Loss
矩阵损失下期望向量的非齐次线性可容许估计
5.
Spectral Inclusion Regions of Partitioned Matrices and Inclusion Regions of Inhomogeneous Eigenvalue;
分块矩阵特征值包含域和非齐次特征值包含域
6.
Study on stewart robot using homogeneous azimuth character export matrix
齐次特征输出矩阵对并联机器人的分析和研究
7.
Application of Matrix Rank in Judging the Ergodicity of Homogeneous Markov Chains
矩阵秩在判定齐次马尔可夫链遍历性中的应用
8.
On the Special Properties of Fundamental Matrix of Homogeneouslinear Ordinary Differential Equation
一类齐次线性微分方程基解矩阵的特殊性质
9.
Admissibility of nonhomogeneous linear estimators of Bernoulli mean with matrix loss
矩阵损失下贝努利分布均值的非齐次线性估计可容许性
10.
The Symmetry of the Solution Space and the Row Space of Coefficient Matrix in Homogeneous Linear Equations;
齐次线性方程组的解空间与系数矩阵的行空间的对称性
11.
Admissibility of Linear Estimators of Gamma Distribution Mean Values under Matrix Loss;
矩阵损失下标准伽玛分布均值的齐次线性估计可容许性
12.
Admissibility of Nonhomogeneous Linear Estimators ofa Multivariate Geometrical Mean under Matrix Loss;
矩阵损失下多维几何分布均值的非齐次线性估计可容许性
13.
Characterization of Admissibility for Homogeneous Linear Estimate in Growth Curve Model Under Matrix Loss
矩阵损失下带约束生长曲线模型中齐次线性估计的可容许性特征
14.
Adjoionted Matrix And Characteristic Root;
高次伴随矩阵与逆高次伴随矩阵及其特征根
15.
α-subdiagonally Dominant Matrices and Criteria of Nonsingular Sub-H-matrices
α-次对角占优矩阵与非奇异次H矩阵的判定
16.
The paper discusses the solution to the problems of the i nhomogeneous eigenvalue for two kinds of special non-symmetrical matrix. The rel ated numerical method is given.
提出并讨论了两类特殊的非对称矩阵的非齐次特征问题，且给出了数值算法和算例.
17.
Information Hiding Model Based on the Coefficient Matrix of Nonhomogeneous Linear Equations with Smallest Weight Solution on Binary Domain;
基于二值域最小权值解非齐次线性方程组系数矩阵的信息隐藏模型
18.
passive matrix displays are generally inferior to active matrix displays.
被动矩阵显示器通常次于活性矩阵屏幕。