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686
- DRIVER FOR UPDATING THE QR DECOMPOSITION OF A 4 BY 3 MATRIX
work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
LinearAlgebra
- 线性代数基本实现，各种基础的线性代数计算接口（加减乘除、求逆、求秩、最大线性无关组）以及矩阵的特征值特征向量的计算（QR方法）。含有设计文档。-The basic realization of linear algebra, and linear algebra calculation based interface (addition and subtraction multiplication and division, inverse, and rank, the largest grou
matrix
- 第6章： 矩阵特征值计算 Chapoly 通过求矩阵特征多项式的根来求其特征值 pmethod 幂法求矩阵的主特征值及主特征向量 rpmethod 瑞利商加速幂法求对称矩阵的主特征值及主特征向量 spmethod 收缩法求矩阵全部特征值 ipmethod 收缩法求矩阵全部特征值 dimethod 位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 qrtz QR基本算法求矩阵全部特征值 hessqrtz 海森伯格QR算法求矩阵全部特征值 rqrtz 瑞
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
MPI-MatrixEigenvalue
- 矩阵特征值计算，包括乘幂法、雅克比法、单侧旋转法、QR法的MPI源码-Matrix eigenvalue calculation, including the power by law, Jacques ratio method, unilateral rotation method, QR Law MPI Source
yibanshijuzhenqiyizhifenjie
- 一般实矩阵的奇异值分解，利用豪斯赫尔德变换及变形QR算法对一般实矩阵进行奇异值分解。-A general real matrix singular value decomposition, the use of house Herder transformation and deformation of a general real matrix QR algorithm for singular value decomposition.
QR
- 对满秩矩阵进行QR分解实现过程，-Full rank matrix of the QR decomposition of the implementation process
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:
qr
- 主要讲了求合身伯格矩阵全部特征值得qr方法。ap为合身伯格矩-Major topics of the order to fit all the characteristics of worth qr Burg matrix method. Berg moment for the fit ap
Householder1
- to find the qr decomposition ion a matrix or a vector
qr_eigenvalues
- qr法求特征值和特征向量 QR法能够避免矩阵奇异带来的错误，并能求解特征值有重根的情况-qr France seek eigenvalues and eigenvectors QR method can avoid the matrix singularity caused by errors, and can solve the eigenvalue of the double roots
Valori_Proprii
- QR, Jacobi and Power Method for finding eigenvalues of a matrix.
4MAQR
- 用豪斯荷尔德矩阵变换对一般m*n阶矩阵进行QR分解-Hao Siheerde matrix transformation with the general order m* n matrix QR decomposition
Matrix_Pencil
- 出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。 -Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil
QR
- 利用QR算法解household变换阵，用Householder变换法对矩阵A作正交分解-QR Algorithm for household use transformation matrix
sanjiao2
- 实对称三角阵全部特征值及特征向量QR法 -All real symmetric triangular matrix QR Eigenvalue and Eigenvector Method
qr
- 数值计算里的矩阵分解问题，基于QR算法的矩阵分解。且矩阵元素是在复数域进行讨论的-In the numerical calculation of matrix decomposition algorithm based on the problem that QR decomposing matrix. And the matrix element is discussed in the complex field
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!