搜索资源列表
lsq
- The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it
power2
- 2． Using QR factorization to find all of the eigenvalues and eigenvectors for the following matrix
NumericalLinearAlgebra
- 数值线性代数的Matlab应用程序包 共13个程序函数，每个程序函数有相应的例子函数一一对应，以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram－Schmidt orthogonalization 格拉母－斯密特 MGrmSch.m QR因子分解 modified Gram－Schmidt iteration 修正格拉母－斯密特 householder.m QR因子分
matrixqqq
- Common Martix Operation ,include transpose, qr-factorization, trangular martix
SPQR-1.1.2.tar
- 基于C++编程的多线程的多波前稀疏矩阵的QR分解，Timothy A. Davis编写-SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel s Threading Building Blocks
work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
Modi_Gram_S
- modified Gram-Schmidt (reduced QR factorization). A is a m-by-n matrix(m>=n)
Gram_S
- classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.-classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:
Comparison_of_QR_Factorization_Algorithms
- Comparison of QR Factorization Algorithms (Matlab scr ipt)
qr
- OpenMP 实现QR 分解 环境 曙光 4000A集群-OpenMP to achieve QR decomposition Dawning 4000A cluster environment
QR
- 对一般矩阵的矩阵QR分解，其中R是对角线元素全为非负实数的上三角矩阵，Q为正交矩阵-QR factorization
QR_factorization
- These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.
QR_and_Least_Square_problems
- 如何对随机生成的矩阵进行QR分解和并利用QR分解解决最小二乘问题.-Use Householder reflector to compute the QR factorization of a randomly generated matrix and then solve the Least-Square problems.
QR
- 矩阵的QR分解，编译执行，按提示操作输入矩阵的元素即可输出结果.- The QR factorization algorithm of matrix,compile and run,input the element according the suggestion,then you can have the desire result!
QR
- a QR decomposition (also called a QR factorization) of a matrix is a decomposition of the matrix into an orthogonal and an upper triangular matrix. QR decomposition is often used to solve the linear least squares problem, and is the basis for a parti
matrix
- 此包包含了众多矩阵处理程序，能够满足矩阵处理的一般要求，由于将各功能分开到不同的“.cpp”文件中，故使用时需要用户自行选取更换合适自己使用的“.cpp”文件。其中，矩阵功能有：输出矩阵、矩阵转置、矩阵归一化、判断矩阵对称、判断矩阵对称正定、全选主元法求矩阵行列式、全选主元高斯(Gauss)消去法求一般矩阵的秩、用全选主元高斯-约当(Gauss-Jordan)消去法计算实(复)矩阵的逆矩阵、用“变量循环重新编号法”法求对称正定矩阵逆、特兰持(Trench)法求托伯利兹(Toeplitz)矩阵逆、
QR_MATLAB
- QR 分解 （包括Householer, Givens, 经典Gram Schmidt, 修正的GS methods)-QR factorization including Householer, Givens, CGS, MGS
qr_fact
- qr factorization using hh algorithm colum pivioting
decomposition_for_Matrix
- 本次程序是一个综合程序，功能是实现矩阵分解，包含有四种算法：LU分解、QR分解、Householder Reduction、Givens Reduction-The program is a comprehensive program, whose function is performming factorization for matrix, including four algorithms: LU decomposition, QR decomposition, Householder
qrfact
- householder qr factorization