搜索资源列表
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
mixing-matrix-estimate
- 二阶稀疏信号欠定盲分离，基于超平面法矢量的混合矩阵的估计-Second-order sparse underdetermined blind signal separation method based on hyperplane vector mixing matrix estimate
SparseVector
- Fast and memory efficient implementation of a sparse vector class in C++, including routines for platform-independent binary persistence.
ass3
- 稀疏向量的C++实现，Cygwin编译通过-sparse vector implemention
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
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
AR_SKFA
- 在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类-In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the co
vector_matrix_multiplication
- 稀疏矩阵与向量相乘 算法 C语言 并行计算-Sparse matrix and vector multiplication
sparselib_1_6
- SparseLib + +是一个c++类库,为在不同的计算机平台进行有效稀疏矩阵的计算。这个软件组成对象包含了目前正在使用的几种稀疏矩阵存储格式(在这个版本:压缩行、压缩列和协调格式),提供基本的功能,节约稀疏矩阵存储空间和计算时间。-SparseLib++ is a C++ class library for efficient sparse matrix computations across various computational platforms. The software
vectprod
- helpful code for sparse matrix vector product
Sparse Lab 200-Core
- 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
smvppp
- Fast sparse matrix vector product
CUDA-imization
- CUDA稀疏矩阵与矢量乘法的优化CUDA-based sparse matrix vector multiplication optimization-CUDA-based sparse matrix vector multiplication optimization
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归，大家可以看一下，人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
alps
- ALPS folder 2. generate_matrix.m: generates measurement matrix. 3. generate_vector.m: generates sparse vector. 4. Report_bibtex.tex: bibtex reference for citing. 5. ALPSdemo.m: demo of ALPS.
OMP
- 通过正交匹配追踪算法，实现迭代得到稀疏向量-By orthogonal matching pursuit algorithm, iteration sparse vector
myomp
- 应用正交匹配追踪求解等式y=Ax,要求： 待求x是稀疏向量，A为高斯随机矩阵 调用形式：x = myomp(A,y,err) A -线性投影矩阵； y -投影向量 err -所需精度-apply Orthogonal matching pursuit to solve the equation y = Ax, requirements: the unknown x is sparse vector, A is a Gaussian random. ca
Low-Coherence-Sensing-Matrices
- A method for constructing low coherence sensing matrices based on best spherical codes is proposed. Such matrices are applied in Compressed Sensing (CS) to obtain measurements of a sparse vector. With the means of CS, it is possible to recons
RONGYUZIDIAN
- 利用构造冗余字典的方法实现数据分类问题，将数据进行稀疏分解，通过稀疏向量和残差判断故障类型-The method of using structural redundancy dictionary for data classification problem, the data are sparse decomposition, through sparse vector and residual judge fault type
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