2) Column Full Rank Matrices
列满秩阵
1.
On the base of matricial rank,the author introduce two special matrices,row full rank matrices and column full rank matrices.
以矩阵的秩为基础,给出了两种特殊的矩阵:行满秩阵和列满秩阵,并对照矩阵的性质给出了行(列)满秩阵的几条性质,在此基础上研究了线性方程组AX=B对任一m维列向量B都有解的充要条件,进一步给出了矩阵方程AX=B有唯一解的条件。
3) full column rank
列满秩
1.
The remarkable characteristic of this method is its applicability for full column rank or not.
鉴于概括平差模型的参数系数矩阵可能为非列满秩的情况,本文从概括平差模型实质出发提出一种以解方程组为基础的通用解法,该方法显著的特点是无论系数矩阵是否为列满秩均可求解。
2.
Given the coefficient matrix of generalization adjustment model is possibly insufficient columm rank,we proposed how to make the coefficient matrix full column rank and found that each unknown parameter at least appeares one time in the general conditional expression,which can make the coefficient matrix full column rank.
分析了概括平差模型系数矩阵可能出现非列满秩情况的原因,研究了如何使系数矩阵为列满秩矩阵,避免了系数矩阵为非列满秩时的复杂解算过程。
4) Row(column)rank
行(列)秩
5) enough column rank
满列秩
6) determinant rank
行列式秩
补充资料：列秩
1.按品级排列。
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