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矩阵相加的算法
- 当稀疏矩阵A和B均以三元组表作为存储结构时，试写出矩阵相加的算法，其结果存放在三元组表C中。 解：这个算法有点繁，要考虑到两个稀疏矩阵的非零元素不是一一对应的，在建立新的三元组表C时，为了使三元组元素仍按行优先排列，所以每次插入的三元组不一定是A的，按照矩阵元素的行列去找A中的三元组，若有，则加入C，同时，这个元素如果在B中也有，则加上B的这个元素值，否则这个值就不变 如果A中没有，则找B，有则插入C，无则查找下一个矩阵元素。 -sparse matrix A and B were 3
superlu_mt_1.0.tar
- 可以用在并行计算中的代码，支持稀疏矩阵的LU分解，用来求方程组的解-can be used in parallel computing code, sparse matrix support the LU decomposition, used for the solution of the equations
SPARSKIT2.tar.gz
- 这是Yousef Saad编写的矩阵运算的Fortran软件包（A basic tool-kit for sparse matrix computations (Version 2),包含常见的排序，预处理(ILU分解等)，Krylov子空间迭代法，以及有限差分等方法得到的算例等。有不少很实用的子程序（比如稀疏矩阵相加、相乘等等，可以学习专家的设计哟！）。极力向学习大型线性方程组数值解的人推荐（不足之处就是Fortran实现，本人觉得还是C语言好）。,Yousef Saad This is pr
integratedgradient
- The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In h
superlu_3.1.tar
- SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perf
fastL11
- It is about soving sparse solution from linear system, simpel and fast.
240512-lixia2
- 解稀疏对称方程组的ICCG法fortran源程序-Solution of sparse symmetric equations of the ICCG method fortran source code
SVregression
- In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to not
SPARSE
- 用matlab实现的基于稀疏表示的人脸识别方法。其中解稀疏表示时，包含了各种方法。-Using matlab face recognition method based on sparse representation. Solution of the sparse representation, contains a variety of methods.
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
(StOMP)Sparse-Solution
- 一个关于压缩感知的论文，用FOCUSS法求出最后的稀疏解，对于新手很有用-a method for compressed sensing
Unitary--ESPRIT
- 新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。-The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimi
SLEP4
- 高效稀疏求解包，包含一些应用实例，应用广泛。-Efficient sparse solution package, including some application examples, wide application.
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
Tonlun-algorithm-
- 同伦算法，解决1范数最小化问题，在稀疏求解时可是使用-Homotopy algorithm, solve the 1 norm minimization problem, but use the sparse solution
CoSaMP-and-OMP-for-sparse-recovery
- 压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法- x = CoSaMP( A, b, k ) uses the Compressive Sampling Matched Pursuit (CoSaMP) algorithm (see Needell and Tropp s 2008 paper http://arxiv.org/abs/0803.2392 ) to estimate the solution to the equation
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
A-Robust-Algorithm-for-Joint-Sparse
- 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to
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.)
Approximate-Message-Passing-master
- 近似信息传递稀疏约束算法用来进行稀疏约束重建以及方程求解(Approximate-Message-Passing-algorithm which can be used to find the sparse solution of the equation)