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

    矩阵迭代求矩阵第一特征特征向量一种数值方法。

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  • Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.

    采用矩阵迭代可以直接迭代计算特征向量导数,避免了奇异灵敏度方程求解

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

    相关性角度提出了互反判断矩阵排序特征向量方法

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  • We proved that each square quaternion matrix has at least one right characteristic principal value and its eigenvector, and a concrete solution was given.

    证明了对元数矩阵至少存在一个特征,存在一个属于的特征向量给出了具体求解方法

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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.

    方法给出该类观测器增益矩阵特征向量矩阵参数化表达式

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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伴随广义特征向量表达式

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

    最后根据状态矩阵左右特征向量正交性,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.

    矩阵最大特征最大特征向量经典方法

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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校验矩阵循环变换的特征向量基底时的一种表示形式从而循环研究纳入到线性系统理论研究的框架之中。

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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.

    本文特征特征向量均为已知条件提出一种直接求解特征向量的方法。

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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.

    对于算法涉及求高对称最大特征及其特征向量,采用加以实现。

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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abBA特征值、特征向量秩等关系得到了矩阵奇异分解

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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.

    指出了用判断矩阵特征向量作为排序向量理由并且讨论了判断矩阵的一致性检验问题。

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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.

    提出了利用边缘点协方差矩阵特征特征矢量作为人脸图像尺度方向粗估计方法理论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伴随广义特征向量表达式

    youdao

  • 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伴随广义特征向量表达式

    youdao

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