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Search - qr householder - List
[
Algorithm
]
raa
DL : 0
一些矩阵运算的C代码实现:矩阵一般运算,以及求逆,QR分解,householder变化,LDU, LU分解-some matrix calculation of C code to achieve : Matrix general computing, and inversion, QR decomposition, the householder changes, LDU, LU decomposition, etc.
Update
: 2025-03-07
Size
: 64kb
Publisher
:
谢瑶
[
Other
]
QR_method
DL : 0
MATLAB, computing matrix by QR
Update
: 2025-03-07
Size
: 2kb
Publisher
:
一个人
[
Algorithm
]
Householder
DL : 0
Householder法求解最小二乘问题。可以避免常规方法遇到奇异矩阵(即行列式|A|接近零)时误差太大的问题。本方法的精度非常高。-Householder method least squares problems. Avoid conventional methods encountered singular matrix (that is determinant | A | close to zero) error much of a problem. The accuracy of this method is very high.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
温泉
[
Algorithm
]
eig_qr
DL : 0
使用QR分解方法计算矩阵特征值的matlab源码-Calculated using the QR decomposition of the matrix eigenvalue matlab source
Update
: 2025-03-07
Size
: 2kb
Publisher
:
党项南
[
Algorithm
]
NumericalLinearAlgebra
DL : 1
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因子分解 Householder 豪斯霍尔德QR因子分解 ZXEC.m 最小二乘拟合 polynomial interpolant 最小二乘插值多项式 NCLU.m LU因子分解 Gaussian elimination 不选主元素的高斯消元 PALU.m LU因子分解 partial pivoting Gaussian elimination 部分选主元的高斯消元 cholesky.m 楚因子分解 Cholesky Factorization 楚列斯基因子分解 PwItrt.m 求最大特征值 Power Iteration 幂迭代 Jacobi.m 求特征值 Jacobi iteration 按标准行方式次序的雅可比算法 Anld.m 求上Hessenberg Arnoldi Iteration 阿诺尔迪迭代 zuisu.m 解线性方程组 Steepest descent 最速下降法 CG.m 解线性方程组 Gradients 共轭梯度 BCG.m 解线性方程组 Biconjugate Gradients 双共轭梯度
Update
: 2025-03-07
Size
: 6kb
Publisher
:
YUXIANGCHENG
[
Algorithm
]
QR_Householder
DL : 1
用householder变换求QR分解,需要自己编写矩阵输入的部分(有示例矩阵)-Used for QR Decomposition Householder transformation, the need for their own part of the preparation of matrix input (with sample matrix)
Update
: 2025-03-07
Size
: 1kb
Publisher
:
金晓婷
[
Algorithm
]
homework(1)prog
DL : 0
数值分析课程中Householder变换法对n阶矩阵A作正交分解A=QR -Numerical Analysis of the curriculum Householder transformation method for n-order matrix A for the orthogonal decomposition A = QR
Update
: 2025-03-07
Size
: 25kb
Publisher
:
甘雯
[
Algorithm
]
house
DL : 0
Householder变换是基本的数学变换之一。其作用是将被变换向量映射成相同模的其它向量。其应用之一是QR分解。-Householder transform is one of the basic mathematical transform. Its role is to transform vectors will be mapped into the same mold of the other vector. One of its applications QR decomposition.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
yzd
[
Algorithm
]
hhouse
DL : 0
hyperbolic Householder transformation的功能类似于Householder transformation,其作用是将被变换向量映射成双曲模与之相同的其它向量。其应用之一是快速QR分解。-hyperbolic Householder transformation functions similar to the Householder transformation, its role is to transform vectors will be mapped into hyperbolic mode with the same other vector. One of their applications are fast QR decomposition.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
yzd
[
Algorithm
]
givens
DL : 0
Givens transformation是向量的旋转变换。它可将被变换向量旋转成模与之相同的其它向量。其应用之一是QR分解。-Givens transformation is the vector of the rotation transformation. It can transform vector will be rotating into the same mold with the other vector. One of its applications QR decomposition.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
yzd
[
Algorithm
]
qr_house
DL : 0
基于Householder transformation的QR分解。 其使用需要调用Householder transformation程序。-Householder transformation based on the QR decomposition. The use of Householder transformation procedures need to call.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
yzd
[
Algorithm
]
qr_hhouse
DL : 0
基于hyperbolic Householder transformation的QR分解。 其使用需要调用hyperbolic Householder transformation程序。-Hyperbolic Householder transformation based on the QR decomposition. Their use need to call the hyperbolic Householder transformation process.
Update
: 2025-03-07
Size
: 1kb
Publisher
:
yzd
[
Mathimatics-Numerical algorithms
]
Matrix
DL : 0
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、实矩阵LU分解、用豪斯荷尔德(Householder)变换对一般m*n阶的实矩阵进行QR分解、对称正定阵的乔里斯基(Cholesky)分解及求其行列式值、一般实矩阵的奇异值分解、广义逆的奇异值分解。-look it yourself.
Update
: 2025-03-07
Size
: 1.03mb
Publisher
:
雾水葛
[
Mathimatics-Numerical algorithms
]
eigenvalue
DL : 0
矩阵的本征值以及本征向量求解的数值程序,包括QR方法,householder方法等-Matrix eigenvalue and eigenvector of the numerical solving procedures, including the QR method, householder methods
Update
: 2025-03-07
Size
: 2.32mb
Publisher
:
叶飞
[
matlab
]
MATLAB
DL : 0
QR分解-householder reflection-householder reflection
Update
: 2025-03-07
Size
: 1kb
Publisher
:
qing
[
matlab
]
gramschmidtyuhouseholderhujian
DL : 0
fenbushuju文件用于拟合zernike波面与原始波面的偏差。clgs,mgs,get-CG-decomp文件分别为使用传统Gram-Schmit和修正Gram-Schmit算法实现QR分解,并获得计算值。而stability文件为Householder分解方法。工程上用来检验Gram-Schm的计算正确与否-fenbushuju file is used to fit zernike wave-front with the original wave-front deviations. clgs, mgs, get-CG-decomp files are for the use of the traditional Gram-Schmit and amendment of Gram-Schmit algorithm QR decomposition, and obtain the calculated value. The stability documents Householder decomposition. Engineering Gram-Schm used to test the correctness of the calculation of
Update
: 2025-03-07
Size
: 2kb
Publisher
:
陈晨
[
matlab
]
QR
DL : 0
用QR分解来解方程AX=b,其中QR分解是用householder变换做的-With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation
Update
: 2025-03-07
Size
: 1kb
Publisher
:
lianna
[
Algorithm
]
given rotation and householder reflection
DL : 0
Givens rotation and Householder reflection
Update
: 2025-03-07
Size
: 175kb
Publisher
:
kiang
[
Algorithm
]
householder with column pivoting
DL : 0
householder with column pivoting
Update
: 2025-03-07
Size
: 146kb
Publisher
:
kiang
[
Other
]
QR
DL : 0
自动识别矩阵规模,进行QR分解运算,采用HouseHolder变换做成上Hessenberg矩阵,然后通过Givens变换做QR分解。(The size of the matrix is automatically identified, the QR decomposition operation is performed, the HouseHolder transform is used to make the upper Hessenberg matrix, and then the QR decomposition is done by the Givens transformation.)
Update
: 2025-03-07
Size
: 298kb
Publisher
:
INBreeze
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