2) induced matrix
度量矩阵
1.
Through analyzing relation judgment matrix, consistency matrix, induced matrix and measure matrix, A Accelerating Method to Rectify a Judgment Matrix on AHP through Intersecting of Measure Matrix and Induced matrix is put forword.
本文通过分析判断矩阵,一致性矩阵,导出矩阵及度量矩阵的关系,提出一种用度量矩阵和导出矩阵交叉加速修改AHP中的判断矩阵。
2.
Through analyzing relation judgment matrix, consistency matrix,induced matrix and measure matrix, a prediction accelerating greedy algorithms to rectified element is put forword.
通过分析判断矩阵 ,一致性矩阵 ,导出矩阵及度量矩阵的关系 ,提出一种修改判断矩阵的预测加速修正的贪婪算法 。
3.
Through analyzing relation judgment matrix ,consistency matrix,induced matrix and measure matrix,a prediction accelerating method to rectified element is put forword.
通过分析判断矩阵、一致性矩阵、导出矩阵及度量矩阵的关系,提出一种修改判断矩阵的预测加速修正法。
3) measure matrix
度量矩阵
1.
The equality of eigenvalue of departure matrix,judgement matrix and measure matrix,and the relation of their eigenvector are introduced.
阐述了判断矩阵、度量矩阵及偏离矩阵的特征值相同性以及它们的特征向量的关系。
2.
By researching the symmetric transformation,measure matrix and orthogonal matrix, we obtain the relation system among the real symmetric matrix, the diagonal matrix and the orthogonal basis of n-dimensional Euclidean space.
利用特征值、特征向量、正交化等概念,通过欧氏空间中的对称变换、度量矩阵、正交矩阵,证明了实对称矩阵、对角矩阵以及欧氏空间的规范正交基之间内在的,虽非唯一性、而却是本质性的对应关系。
4) Incremental stiffness matrices
增量刚度矩阵
5) matrix volume measure
矩阵体积度量
1.
Two dimensional PCA using matrix volume measure in face recognition;
基于矩阵体积度量的二维PCA人脸识别(英文)
6) generalized ultrametric matrix
广义超度量矩阵
1.
It is proved that when A is a nonsingular generalized ultrametric matrix,then the Hadamard product Ao A~T is also a generalized ultrametric matrix and its inverse is an M- matrix.
本文研究了广义超度量矩阵的封闭性质。
补充资料：可公度量和不可公度量
可公度量和不可公度量
ommensulble and incommensuable magnitudes (quantities)
可公度t和不可公度t【~e璐u由lea目in~men-su.ble magultodes(quanti柱es);“洲口Mel娜M毗“”“”-113Mep目M曰e肠eJ皿，一皿曰』 如果两个同类量(例如两个长度或两个面积)具有或不具有公度(common measure，即另一个同类量，所考虑的两个量都是这个量的整数倍)，则相应地称这两个量为可公度量或不可公度量.正方形的边长和对角线，或圆的面积和丫的半径的平方，都是不可公度量的例尹.如果两个量是可公度的，则‘l艺们的比是有理数;相反，不可公度量忿比是无理数、
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条