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SVD
- ％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分
svd.rar
- 能够对于奇异值的计算matlab代码，找了好久呢。。,Singular value to the calculation of the matlab code, then look for a long time. .
SVD
- 最小二乘估值的SVD分解计算方法，本程序可将最小二乘估值问题转化为超定方程组的问题处理，且可用奇异值分解的方法计算最小二乘问题。-Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated sing
SVD
- fortran的SVD程序，可以用于学习地球物理反演的基本概念，以及进一步优化！-fortran the SVD procedure can be used to learn the basic concepts of geophysical inversion, and further optimization!
SVD
- SVD的应用，奇异值超平面正交投影证明 A中每个向量xi在随机阵B上的正交投影之和的最小值-Application of SVD, singular value hyperplane orthogonal projection proves A vector xi for each B in a random array of the orthogonal projection and the minimum
opencvsvd
- 关于openCV的一个使用实例用opencv做矩阵的SVD分解-opencv svd
svd
- SVD奇异向量分析法，是一种常用的分析气象数据时间空间相关分布的研究方法，本程序可以直接使用。-SVD singular vector analysis, is a common analysis of meteorological data distribution in time and space-related research methods, this procedure can be used directly.
vcpca(svd)
- 这是用vc++语言编写的程序，里面有封装好的类，可以直接使用，vcpca类包含svd等矩阵算法类-This is using vc++ language preparation procedures, which have well-type package can be used directly, vcpca category contains svd algorithms such as matrix type
svdpackc.tar
- svd 算法代码 This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C) programs for compiling within the "svdrun" scr ipt. The "svdsum" scr ipt can be run after all output files of the form <dataset>.outN, where N=1,2,... have been
svd.cpp
- This svd source code implementation in c++ , the zip file contain the ap file ,more detail ,please see the ap library adapted for c++ in the zip file.also there is faq to answer your question.-svd source code implementation in c++ , This is the
hybriddwtandsvdvideowatermarking
- hybrid wavelet - SVD based video watermarking in secure domain-hybrid wavelet- SVD based video watermarking in secure domain
svdsim.m
- Computes SVD using QR
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
svd.cpp
- SVD-Single Value Decompose
svd
- svd算法，也就是奇异值算法，用于求解不适定性问题。-svd algorithm, that is, singular value algorithm for solving ill-posed problems
svd.c
- SVD算法可用来求解大多数的线性最小二乘法问题.对矩阵进行奇异值分解。-SVD algorithm is used to solve most of the linear least squares problem. Of the matrix singular value decomposition.
svd
- 数值分析里的矩阵计算问题。用SVD的算法对矩阵进行分解，可以任意输入矩阵的大小。-Numerical analysis of the problems in the matrix calculations. With the algorithm of the SVD decomposition of matrix, the size of the input matrix can be arbitrary.
svd
- SVD Singular Value Descomposition
LU、QR、SVD
- 本函数可以实现矩阵的LU变换、QR变换、SVD变换，开发环境为Matlab(This function can realize the matrix of the LU transform, QR transform, SVD transform, development environment for Matlab)
电影评分 svd
- SVD算法不光可以用于降维算法中的特征分解，还可以用于推荐系统，以及自然语言处理等领域。是很多机器学习算法的基石。内含电影平分数据集(SVD algorithm can be used not only in feature decomposition of dimension reduction algorithm, but also in recommendation system, natural language processing and other fields. Is the c