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Triple
- 数据结构(c)稀疏矩阵的三元组顺序存储结构的全部操作 -data structure (c) 3 sparse matrix storage group structure of the order all operations
稀疏矩阵运算器
- 题目:稀疏矩阵是指那些多数元素为0的矩阵.利用稀疏特点进行存储和计算可以大大节省存储空间,提高计算效率.实现一个能进行稀疏矩阵基本运算的运算器.基本要求:以带行逻辑连接信息的3元组顺序表表示稀疏矩阵,实现两个矩阵相加,相减和相乘的运算.矩阵的输入形式采用3元组表示,而运算结果的矩阵则以通常的阵列形式列出.概要设计:1.以带行逻辑连接信息的3元组顺序表表示稀疏矩阵2.本程序包含2个模块:(1) 各集合定义模块(2) 主程序模块-topics : sparse matrix refers to th
sparse_lssvm.rar
- 稀疏最小二乘算法文档，通过寻求特征向量的最大无关组构造稀疏算法,Sparse Least Squares documents, by seeking the greatest eigenvector group structure has nothing to do sparse algorithm
GroupSparseBox_V2
- Greedy Group Sparsity Promoting Optmization
NonCvxGroupSparsity
- Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central -Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar @matlab central
GroupSparseBox
- group sparse box matching pursuit
123xishu
- 稀疏矩阵转置，首先输入三元组，然后输出转置后的矩阵-Sparse matrix transpose first three yuan group input and outputs the transpose the matrix after
yunsuanqi
- １．按照压缩存储的概念，只存储稀疏矩阵的非零元，以两个三元组｛i,j,e}来表示矩阵的非零元的行，列和数值，就确定了一个非零元．由此，稀疏矩阵可由表示非零元的三元数组及行列数确定． ２．用户输入数据作为三元组的行，列和非零元的个数，用逗号隔开．并输入非零元的行，列和数值． ３．本程序只对两个矩阵进行四则运算，所的结果矩阵应该另生成，用二维数组存放，并放入新的矩阵中，只要对矩阵求解就能求出答案． -1. According to
2010211307-2-24
- 假设稀疏矩阵A和B均以三元组表作为存储结构，试写出矩阵相加(相乘—选做)的算法，另设三元组表C存放结果矩阵。 矩阵相加测试实例： 0 7 0 8 0 2 0 1 0 0 A= 4 0 0 0 5 B= 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 6 0 0 -6 0 处理过程提示： 输入稀疏矩阵A和B 检测A和B能否相加 矩阵相加运算 打印运算结果-Sparse matrix A and B are in
C
- 熟悉数组的有关概念，掌握稀疏矩阵的三元组存储结构及其快速转置算法。- Familiar with the concept of an array, and master the sparse matrix three yuan group of storage structure and its rapid deferring algorithm. Familiar with the concept of an array, and master the sparse matrix thr
Matlab-Package-Sparse
- 这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
test
- 稀疏矩阵的压缩与还原。 一个矩阵含有非零元素比较少，而零元素相对较多，这样的矩阵称为稀疏矩阵，对稀疏矩阵的存储我们不用完全用二维数组来存储，可以用一个三元组，即任意一个稀疏矩阵可以用一个只有三列的二维数组来存放，要求把给定的稀疏矩阵用为三元组表示；同时把三元组转换为稀疏矩阵形式。 -Sparse matrix compression and reduction.A matrix with nonzero element is less, and zero element is relat
2011010967_e2_p01
- 稀疏矩阵，李用三元组实现转置 乘法 加法等等功能-sparse matrix and triple group
SLEP
- 稀疏表示的求解问题，里面包含了技术文档PDF和程序源码，可以用来进行group sparse representation-Sparse representation of the problem, which contains the technical documentation PDF and program source code, can be used to carry out sparse representation group
sPl1Pl21
- 论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。- Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem
Demo_CS_OMP
- 本程序利用小波基和余弦基作为稀疏基，并利用正交匹配追踪算法进行重构，是入门的很好的程序。- This procedure using Wavelet and Cosine group as a sparse group, and using orthogonal matching pursuit algorithm to reconstruct, it is a good entry procedures.
GroupSparseBox
- 组稀疏表达Matlab代码，同时里面包含了压缩感知信号稀疏表征的几种典型算法。(G r o u p S p a r s e B o x, the matlab codes for group sparse representation, some classical algorithms such as BMP, BOMP, StGOMP etc. also included.)
SPGL1: A solver for large-scale sparse
- % SPGL1: A solver for large-scale sparse reconstruction % Version 1.7 (May 20, 2009) % % Files % spg_bp - Solve the basis pursuit (BP) problem % spg_bpdn - Solve the basis pursuit denoise (BPDN) problem % spg_lasso