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1·Google's PageRank is a variant of the Eigenvector centrality measure.

谷歌的网页级别是特征向量中心性度量的一个变体。

2·Using this function, we can get more representational eigenvector from email.

利用此函数可提取到更具有代表性的邮件特征向量。

3·In the appendix, the general method of finding eigenvalue and eigenvector is stated for reference.

在附录中还列出特征值与特征矢量的一般求法，以资与正文所述相对照。

4·New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.

从相关性角度提出了互反判断矩阵排序的特征向量方法。

5·An expression of the generalized eigenvector of adjoint matrices for nonsingular matrix a is derived.

给出了非奇异矩阵a的伴随的广义特征向量的表达式。

6·Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.

矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。

7·A judging criterion of closely spaced modes by eigenvector turning angles is put for ward in this paper.

用特征向量转角给出了一种密集模态的判别准则。

8·Accurate analysis of system dynamical response is achieved by constructing a system augmented eigenvector.

构造了系统增广特征矢量，实现了其系统动力响应的精确分析。

9·Power Method is the conventional way for finding the greatest eigenvalue and the greatest eigenvector of a matrix.

幂法是求矩阵最大特征值及最大特征向量的经典方法。

10·The use of elementary geometry method can give conformal demonstration of lineal function in infinite eigenvector.

用初等几何方法给出线性函数在无穷远点的保角性证明。

特征向量

1·Google's PageRank is a variant of the Eigenvector centrality measure.

谷歌的网页级别是特征向量中心性度量的一个变体。

2·The exact solution of derivatives of eigenvalue and eigenvector is presented by utilizing the mathematical theorem and new definitions of sensitivities.

本文利用数学定理和新的灵敏度定义给出特征值和特征向量导数的精确解。

3·Some studies holded that the first eigenvector field of the time series of original observations fields usually shows a striking similarity to the time averaged field.

一些研究认为，原观测场时间序列的第一特征向量场与时间平均场表现出强相似。

4·Secondly, introduce the dynamic analysis of the process equipments, and emphatically introduce the eigenvalue, eigenvector and response analysis.

介绍过程设备的动态特性分析，重点介绍特征值、特征向量及响应分析。

5·New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.

从相关性角度提出了互反判断矩阵排序的特征向量方法。

特征矢量

1·By using the orthogonality condition of augmented eigenvector of multibody system, the algebraic equation group with unknowns of structure parameter is formed.

利用多体系统增广特征矢量的正交性条件，可建立以系统物理参数为未知数的代数方程组。

2·In multibody system dynamics, the orthogonality of eigenvector is the precondition to solve the dynamic response of system using the classical modal analysis methods.

特征矢量的正交性是用模态方法求解多体系统动力响应的前提条件。