搜索资源列表
QR
- 对满秩矩阵进行QR分解实现过程，-Full rank matrix of the QR decomposition of the implementation process
matrixAnalasis
- 求方阵的行列式，如果行列式不为零，求逆矩阵；对给定的任意矩阵做满秩分解-Seeking the determinant of a square matrix, if the determinant is non-zero, calculate the inverse matrix given any matrix, get the full rank decomposition
024-zuizhongban
- 完成矩阵的满秩分解，将矩阵转化为两个满秩矩阵的乘积-Completed matrix of full rank decomposition, the product of the matrix into two full-rank matrix
matrix12
- 利用增广矩阵和行变换求逆的方法，对任一矩阵进行满秩分解-The augmented matrix and line conversion inverse any matrix of full rank decomposition
full_rank_decompositon
- 如果A是mxn的矩阵，rank(A)=r。 可以把A分解成mxr的满秩矩阵X和rxn的满秩矩阵Y的乘积，即A=XY且rank(X)=rank(Y)=rank(A)=r，这样的分解就叫满秩分解，当然当r>0时满秩分解不唯一。-If A is a matrix of mxn Rank (A) = r. A decomposition mxr full rank matrix X and the product of the rxn full rank matrix Y, A = XY
curve_fit(1)
- 基于广义逆的最小二乘曲线拟合，采用满秩分解，用其中一个就可以了，单个太小，不让上传，所以复制三份-curve fitting by using generalized inverse matrix
满秩分解
- 因为MATLAB里面没有直接的满秩分解的程序，所以编写了一个小程序进行满秩分解计算。(full rank decomposition)
线性方程组求解
- 利用hermite标准形和满秩分解求矩阵广义逆，并且利用广义逆求解线性方程组，可以判断解的形式(Using Hermite canonical form and full rank decomposition to find the generalized inverse of a matrix, and using the generalized inverse to solve a system of linear equations, the form of the solution ca