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spgs
- 用途：用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b ％ 格式: x=spgs(A,b，x0,e,N),A为系数矩阵，b为右端向量，x返回解向量。 ％ x0为初值向量(默认原点)，e为精度(默认1e-4),设置迭代次数上限以防发散(默 ％ 认500)。 -purposes : with Vector (sparse storage) form of Gauss - Seidel iterative solution of linear equations
spgs
- 用途：利用二分法快速求解非线性方程f(x) = 0； 用向量形式（普通存储格式）的Gauss-Seidel迭代解线性方程组Ax=b；Newton迭代法解非线性方程f(x) = 0；用分量形式的SOR迭代解线性方程组Ax=b；用向量（稀疏存储）形式的Gauss-Seidel迭代解线性方程组Ax=b -Purposes: the use of dichotomy quickly solving nonlinear equations f (x) = 0 with vector form o
lyapack
- LYAPACK is a MATLAB toolbox for the solution of certain large scale problems in control theory, which are closely related to Lyapunov equations. In contrast to the lyap and dlyap command in the MATLAB Control toolbox it uses iterative algorithms and
superLU(BLAS)-static-library
- 该静态库是从superLU开源官网上下载的程序包经过visual stdio 2008编译生成的，顺利通过了4000个未知数稀疏矩阵的求解。在visual stdio 2008平台下均能使用，生成的库文件（.lib）均在debug文件夹下。-The static library is open from superLU official website to download the package through visual stdio 2008 compiled, passed the 4
SPICE
- SPICE的代码，可以运行基于相关矩阵的估计方法，这个方法可以应用于稀疏求解，例如求解DOA-the matlab code for SPICE, it s a sparse covariance-based method for sparse solution, e.g.,the solution for the estimation of DOA
Compressed-Sensing-Code
- 压缩感知作为一个新起的采样理论，核心是求欠定方程组的稀疏解。本文件通过自定义一个TL0罚函数，用阈值迭代算法，在matlab工作环境里求出最优解-Compressed sensing as a new starting sampling theory, the core is seeking sparse solution underdetermined equations. This document is by custom a TL0 penalty function threshold
h3
- 计算Ax b的最稀疏解，利用梯度投影算法，矩阵分析与应用作业-Computing Ax b is the most sparse solution, using the gradient projection algorithm, Matrix Analysis and Applications jobs
Desktop
- 以上代码为用OMP算法来求解稀疏信号的解，非常适合压缩感知入门(The above code is used OMP algorithm to solve sparse signal solution, very suitable for compressed sensing entry)
homotopy_new
- 同伦算法应用于DOA估计中，一范数稀疏求解优化方法(Homotopy algorithm is applied to DOA estimation, and a norm sparse solution optimization method is proposed.)