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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
333
- 用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性-Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods
Factorisation_QR_Decomposition_SVD
- In this PDF you can find out how to use MAPLE for having QR and SVD decompositions on each dataset.
chebfun_v2_0501
- The chebfun project is a collection of algorithms, and a software system in object-oriented Matlab, which extends familiar powerful methods of numerical computation involving numbers to continuous or piecewise-continuous functions. It also implements
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
shoushou-svd
- svd程序 首先是householder变换为上双对角矩阵，然后再是QR分解得到奇异值-svd C++
SVD-source-code
- 使用QR分解算法的奇异值分解源代码及注释-Singular value decomposition using the QR decomposition algorithm source code
svdssa
- 关于，SVD的简单算法。这个，代码是基于QR分解的，SVD的简单算法，与matlab上的SVD函数有一些差异。-Simple algorithm, the SVD of. This code is a simple algorithm based on QR decomposition, SVD, the SVD function in matlab there are some differences.
Complex_SVD_algorithm_for_Cplus
- To do complex SVD for non-codebook precoding in open loop spatial multiplexing in MIMO, Householder Reduction and QR Diagonalization is applied to H matrix to obtain eigenvalues and eigenvectors of matrix.
svd
- 基于householder变换和QR分解的矩阵svd分解算法-svd using householder transformation and matrix QR decomposition
textureTransform
- Compute the SVD, Eigen, QR and LU texture transforms of an image.
3
- 一个SVD-QR合作节点选择算法为基础的虚拟MIMO的WSN -源码-An SVD-QR cooperative node selection algorithm based virtual MIMO in WSN- source
svdsim
- 简单的用matlab求解SVD程序，利用QR迭代的方法进行，可以求解矩阵的奇异值-Simple program with matlab solving SVD using QR iteration proceeds, can solve singular value matrix
Zero
- Fast Numerical Computational C++ lib: Including the following classes: class Complex • class ComplexVector • class ComplexMatrix • class RealVector • class RealMatrix • class Kronecker • class Gauss_Jorda
SVD-QR-method
- svd分解，使用qr方法，编译即可运行，需要文件输入-SVD QR method，the program can run successfully, you need a file for input
pinve_svd_qr
- calcul psodo inverse , svd decomposition , QR decomposition , matlab codes
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)
SVD_C++
- C++实现矩阵的SVD分解，矩阵基本运算“+，-，*，/”，三角分解，QR分解，矩阵显示，矩阵转置，矩阵特征值与特征向量运算. 并在 Source.cpp中附有使用例子代码，方便读者快速上手。 经本人测试，完全可以运行，放心使用。 对于SVD分解，经过与matlab中结果对比，发现，当矩阵的列数>=行数时，基本没问题。(Using C++ language realizes the SVD decomposition of matrix,as well as the basic o
lapack-3.8.0
- 进行数值计算的著名软件，LAPACK包含了求解科学与工程计算中最常见的数值线性代数问题，如求解线性方程组、线性最小二乘问题、特征值问题和奇异值问题等。(LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue