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matlabdiancijiaocheng
- matlab电子教程 包括插值拟合、稀疏矩阵、高级图形对象等有用的知识。均为pdf文件。-matlab tutorial, including electronic fitting interpolation, sparse matrix, advanced graphics and other objects useful knowledge. Are pdf files.
Linear-Subspace-Learning
- A Linear Subspace Learning Approach via Sparse Coding
Application-of-interpolation
- 插值的应用：支持向量回归的应用 稀疏的冲击物理数据集的插值-Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets
TSMatrix
- 输入一个稀疏矩阵A，由程序将其转换成三元组表存储；转置后的三元组表，由程序将其转换成矩阵形式后输出。-Enter a sparse matrix A, the program will convert it into a triple store table transposed triples table, the program will convert it into a matrix form of the output.
Exp_1
- 一元稀疏多项式的表示及加法运算 (1) 多项式以指数递增的顺序输入。 (2) 设计的数据结构应有利于表示任意一元稀释多项式。 （3）输出原始多项式及运算结果。 -One yuan sparse polynomial representation and addition operations
Cpp1
- 稀疏矩阵，实现转置利用三元组顺序表存储稀疏矩阵，实现其转置-Sparse matrix transpose using triples to achieve the order table stores sparse matrices, to achieve its transpose
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
sparsematrix
- 数据结构，实现稀疏矩阵输入和“一次定位快速转置”。-Data structure, to achieve sparse matrix input and " a rapid positioning transpose."
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
multiply
- 数据结构上机实验——矩阵相乘。可实现输入两稀疏矩阵，用户自定义选择矩阵相乘模式并显示相乘结果。简明、易懂、C++自编版。-Data structure on experiments- matrix multiplication. Enter the two sparse matrices can be realized, user-defined selection matrix multiplication mode and display the multiplication result.
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
sparse_s
- 稀疏信号的生成及cs模型稀疏阵（fft）和生成阵(PHI)的生成，及波形展示-Sparse signal generation and cs model sparse array (fft) and generate array (PHI) generation, and waveform display
l1_ls
- 求解l1范式的值，用于压缩感知中的稀疏表示。进行分类-Solving the value of l1 paradigm for compressed sensing of sparse representation. Classification
Matrix-arithmetic-algorithm
- 这里有加减乘和转置 感兴趣的朋友看看 用C语言编的 注意输入 算法用于稀疏矩阵-Here and take home to interested friends have a look with C language addendum to the attention of the input for sparse matrix algorithm
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
Matrix
- 矩阵 主要包含了普通二维矩阵和稀疏矩阵的一些算法和小函数-Matrix consists mainly of a general two-dimensional matrix and sparse matrix algorithms and some small function
SMatrix
- 以“带行逻辑链接信息”的三元组顺序表表示稀疏矩阵，实现两个矩阵的相加，相减，相乘的功能。稀疏矩阵的输入形式采用三元组表示，而运算的结果的矩阵则以通常的阵列形式列出，并输出每一行的第一个非零元的位置。此外，能实现把以三元顺序表表示的稀疏矩阵转换为用十字链表表示的稀疏矩阵，结果按十字链表的每一行和每一列输出稀疏矩阵-The " logical link with a line of information," said the triple sparse matrix sequen
powermethod-andinversepowermethod
- 对于大型稀疏矩阵（501乘501），用幂法求其按模最大特征值和最大特征值，用反幂法求其按模最小特征值和距离给定数字最近的特征值，求得了矩阵的条件数和行列式，讨论迭代初始向量的选取对计算结果的影响。-For large sparse matrix (501 x 501), with the power method for the maximum modulus of its eigenvalues and by the largest eigenvalue, with
GA
- 稀疏天线阵的遗传算法优化的matlab程序-Sparse antenna array optimized GA matlab program
poly
- 数据结构课程利用单链表的知识编写的一元稀疏多项式的求值，建立的是工程文件-The use of single linked list data structure course written knowledge of one dollar sparse polynomial evaluation, the establishment of the project file