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slu_dist.ps
- 稀疏矩阵分解的最好方法之一，LU分解，快速高效的分解矩阵-sparse matrix factorization one of the best ways, LU decomposition, fast and efficient decomposition matrix
connvert
- 对矩阵进行LU分解并求逆，该程序适用于任意维数方阵，-right matrix factorization and inverse, the procedures applicable to arbitrary dimension arrays
LUwerwer
- 通过LU分解求矩阵的逆矩阵，可应用于反幂法的实现-through the matrix factorization for the inverse matrix can be used against the law to achieve power
LU_decompostion
- 矩阵的LU分解的改进型算法。优点是快捷-matrix factorization of the improved algorithm. Advantage is speed.
t2_3
- 本题采用的计算方法为：矩阵的 分解和Cholesky分解。根据Gauss消去法的的矩阵意义，可以将矩阵A分解为一个单位下三角矩阵与一个上三角矩阵的乘积即：即矩阵的LU分解A=LU，进而可以分解为： 的形式。当A为对称矩阵时，A可分解为： 的形式。-that the use of the method of calculating : matrix decomposition and Cholesky decomposition. According to the Gauss eliminatio
cad01
- 用LU分解实现解方程，用visual C++编写，可以使用一下-with factorization of solving equations, using visual C, can use this to s
NumericalLinearAlgebra
- 数值线性代数的Matlab应用程序包 共13个程序函数，每个程序函数有相应的例子函数一一对应，以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram－Schmidt orthogonalization 格拉母－斯密特 MGrmSch.m QR因子分解 modified Gram－Schmidt iteration 修正格拉母－斯密特 householder.m QR因子分
matrix
- LU矩阵分解串行算法，一个矩阵拆分成两个三角矩阵乘积-Serial LU matrix factorization algorithm
sy2
- 求解矩阵的LU分解和逆，两种一般方法求解线性方程组的解。-LU matrix factorization and solving the inverse, two general methods for solving linear equations.
matrix_factorization
- 用matlab进行矩阵的分解，分别进行Lu矩阵分解、不完全LU分解、不完全cholesky分解和Cholesky分解-Decomposition of the matrix with matlab, respectively, Lu matrix factorization, incomplete LU decomposition, incomplete cholesky decomposition and Cholesky decomposition
Programming-Assignment-Sharp2
- Write a program to solve the systems of linear equations by Gaussian elimination with scaled row pivoting, including the factorization phase and the solution phase. Report the LU matrices as well as the solution in the conclusion.
matrix_lu1
- 稀疏矩阵分解，LU分解，快速高效的分解矩阵-Sparse matrix factorization, LU decomposition, fast and efficient decomposition of the matrix
resolution_chlesky
- In linear algebra, the Cholesky decomposition or Cholesky factorization is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, useful for efficient numerical solutions an
Numerical-Analysis
- 数值分析中Crout、LU、LUL 等分解程序-Crout LU and LUL factorization for numerical analysis
decomposition_for_Matrix
- 本次程序是一个综合程序，功能是实现矩阵分解，包含有四种算法：LU分解、QR分解、Householder Reduction、Givens Reduction-The program is a comprehensive program, whose function is performming factorization for matrix, including four algorithms: LU decomposition, QR decomposition, Householder
Matrix-Factorization
- 根据高斯消去法原理编写的矩阵LU分解的MATLAB程序，可实现对任意方阵的分解。-According to the principle written in matrix Gaussian elimination LU decomposition MATLAB program can be realized on any square of decomposition.
LU Matrix Factorization
- 使用C语言在xilinx 平台上实现N阶可逆矩阵分解(The realization of N order reversible matrix decomposition on the Xilinx platform using C language)