• 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。

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  • 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。

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  • 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。

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  • This method presents the parametric expressions for the gain matrices and the left eigenvector matrix of the high-order PI observers.

    该方法给出了该类观测器的增益矩阵和左特征向量矩阵的参数化表达式。

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  • State matrix is diagonalized according to the orthonormality of left and right eigenvector series about the state matrix.

    最后根据状态矩阵的左右特征向量系的正交性,对给出的状态矩阵进行对角化。

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  • 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。

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  • As for computing the largest eigenvalue and its eigenvector of a higher-order real symmetric matrix in the algorithm, the power method is used.

    对于算法中涉及的求高阶实对称阵的最大特征值及其特征向量,采用幂法加以实现。

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  • This paper presents a direct solution to the left eigenvector of the asymmetrical matrix under the condition that the eigenvalue and the right eigenvector are known.

    本文在特征值及右特征向量均为已知的条件下,提出一种直接求解左特征向量的方法。

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  • The results showed why the right principal eigenvector of a judgement matrix can be regarded as the priority vector. Consistency test to a judgement matrix is also discussed.

    指出了用判断矩阵的右特征向量作为排序向量的理由,并且还讨论了判断矩阵的一致性检验问题。

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  • The relationship between the eigenvalue, eigenvector and the rank of the product of matrices AB and BA is discussed, and the factorization of the singular values of matrix a is obtained.

    讨论了矩阵乘积ab与BA的特征值、特征向量及秩等的关系,并得到了矩阵的奇异值分解。

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  • A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.

    提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法,从理论和实验上证明了该方法的可行性。

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

    企司实业给出了非奇异矩阵a的伴随的广义特征向量的表达式。

    youdao

  • It is proved that the parity check matrix for BCH code is a representation form in the eigenvector basis. Thus the study on cyclic codes may be brought into the framework of linear system theory.

    证明了BCH码的校验矩阵是用循环变换的特征向量作基底时的一种表示形式,从而把循环码的研究纳入到线性系统理论研究的框架之中。

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  • It is proved that the parity check matrix for BCH code is a representation form in the eigenvector basis. Thus the study on cyclic codes may be brought into the framework of linear system theory.

    证明了BCH码的校验矩阵是用循环变换的特征向量作基底时的一种表示形式,从而把循环码的研究纳入到线性系统理论研究的框架之中。

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