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LDL-2.0.1.tar
- 对基于稀疏矩阵存储技术的对称正定稀疏矩阵进行LDL分解，C++编写-LDL is a set of concise routines for factorizing symmetric positive-definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of
100615111[1]..
- 几个简单的计算线性方程系数矩阵分解的算法，包括cholesky、doolittle、等-The calculation of a few simple linear equations coefficient matrix factorization algorithms, including cholesky, doolittle, etc.
svd_rar
- 奇异值分解/广义逆矩阵的svd算法代码,在解线性方程时用得上-svd siglar value decomposition
matrix
- 实现复数矩阵的基本运算，并能实现复数矩阵的求逆、快速傅里叶变换和奇异值分解等-The realization of the basic computing complex matrix, and can achieve complex matrix inversion, fast Fourier transform and singular value decomposition and so on. . . .
LU
- LU分解法用于解方程组，且同时输出LU分解矩阵-LU decomposition method for solution of equations, LU decomposition and at the same time the output matrix
nmfmatlab7
- 非负矩阵分解应用于脸部图像识别的MATLAB程序-function [W H] = nmf(V,r,maxiter)
NMFnetwork
- 用非负矩阵分解做网络社区检测的代码，张世华编写的，可以运行正确结果的-community detection，NMF
beam-forming
- 奇异矩阵分解， 波束形成， matlab仿真实现-Singular matrix decomposition, beamforming Matlab Simulation
svd
- 用于协同过滤推荐算法，svd矩阵分解算法 C++实现-Matrix Factorization , performs well on the large, sparse, and very imbalanced Netflix dataset
NMF
- nmf 与 lnmf, 非负矩阵分解基本程序-nmf and lnmf， the basic function
nmfdb
- 本程序为非负矩阵分解，matlab程序。输入为要分解的矩阵和端元数，输出为分解的结果-this program is suitable for NMF .the input data is the matrix to be decomposed and the number of endmember.output is the result
matrix-codes
- 这是一下关于矩阵分解的程序，用matlab程序关于矩阵的qr分解-This is a program on matrix decomposition, using matlab realize matrix decomposition chol
编程实践题目-矩阵分解
- 一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix
57578866Matrix_LU_INV
- 这是一个使用lu来求逆矩阵的算法那，算法很好，很不错啊(this is a lu algorithm)
mo19beck_mfiles_v1.1
- 求解矩阵分解的算法，尤其是对于低秩优化和稀疏优化问题，该算法的效果很好。(The algorithm to solve the matrix decomposition, especially for low rank optimization and sparse optimization problems, the algorithm works well.)
非负矩阵分解
- 实现高光谱图像的非负矩阵分解，可以在此基础上添加优化算法，实现更高精度和速度。(To achieve hyperspectral image's non negative matrix factorization, we can add optimization algorithm to achieve higher accuracy and speed.)
新建文件夹
- 非负矩阵分解的matlab代码，适合新手利用matlab学习非负矩阵分解(Matlab code for nonnegative matrix decomposition)
inexact alm
- matlab下的代码，关于矩阵分解和alm应用。(Code under matlab, about matrix decomposition and alm applications.)
nmf代码
- 实现多种非负矩阵分解方法，包括交替最小二乘以及改进的交替非负最小二乘法(Implementation of a variety of non negative matrix decomposition methods)
QR分解求矩阵特征值特征向量 C语言
- QR分解计算矩阵特征值、特征向量的 C语言实现(QR decomposition to calculate matrix eigenvalues and eigenvectors by C language)