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C++常用算法之06矩阵特征值与特征向量的计算
- 本代码是《计算机常用数值计算算法与程序 C++版》一书的配套矩阵特征值与特征向量的计算代码,这些C++程序已经在Virsual C++ 6.0环境下通过。注意,在VC++ 6.0中设置好路径,特别是include目录(文件夹)的路径,否则在编译时会出现找不到头文件的错误,使编译无法正常进行。-the code is "commonly used computer numerical algorithms and procedures C version," a book su
雅可比过关法求实对称矩阵特征值与特征向量
- 雅可比过关法求实对称矩阵特征值与特征向量-Jacobian clearance France realistic symmetric matrix eigenvalue and eigenvector
用雅克比发方法求矩阵特征值和特征向量
- 用雅克比发方法求矩阵特征值和特征向量,并判断是否可以收敛-Made with the Jacobian matrix method, to calculate the eigenvalues and eigenvectors, and determine whether convergence
Java实现QR分解法求矩阵的所有特征值及特征向量
- Java实现QR分解法求矩阵的所有特征值及特征向量,Java realization of QR decomposition for matrix eigenvalues and all eigenvectors
double_QR
- 运用双线性QR分解法求矩阵特征值及特征向量,并含有QR分解法子程序-Use of bilinear matrix QR decomposition method for eigenvalue and eigenvector and contains procedures for QR decomposition method
1
- 使用带双步位移QR法求解矩阵的特征值和特征向量-Use with dual-step method displacement QR matrix eigenvalues and eigenvectors
JCBI
- 雅可比法求实对称矩阵特征值与特征向量,有例子,检验过,很顺利-Jacobian method realistic symmetric matrix eigenvalue and eigenvector, there are examples of tests, it is smooth
mtl4-alpha-1-r6418
- 矩阵运算源码最新版本,支持矩阵乘法、转置求逆,特征值特征向量等操作。-Source the latest version of matrix operations in support of matrix multiplication, transpose inverse, eigenvalue eigenvector and so on.
Jacobian_algorithm
- 用雅克比算法求取一个实对称矩阵的特征值和特征向量-Jacobian algorithm used to strike a real symmetric matrix of eigenvalues and eigenvectors
PluralandMatrix
- C源码之复数运算和矩阵运算:内含复数的表示,复数的所有运算(包括求共轭,解析函数等)。矩阵的创建,加减运算,矩阵和向量乘法,矩阵和矩阵乘法,矩阵求逆,求矩阵特征值和特征向量; 现在大量科学计算要求在C编程中使用复数或者矩阵,希望能给你带来帮助~ -C-source computing, and the complex matrix calculation: that includes plural, the plural of all operations (including seek
5
- 数值计算中矩阵特征值和特征向量的C++程序-Numerical calculation of eigenvalues of matrix C++ program
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
eigenvalues
- 计算复矩阵A(x) u = 0的特征值和特征向量,fortran代码,声学模态计算的必备工具。-Calculating complex matrix A (x) u = 0 the eigenvalues and eigenvectors, fortran code, acoustic an indispensable tool for modal calculations.
EigenvalueVectorRealSymmetryJacobi
- 矩阵特征值与特征向量的计算,实对称阵特征值及特征向量雅可比法-Matrix eigenvalue and eigenvector calculations, real symmetric matrix eigenvalue and eigenvector Jacobi Method
C
- 幂法 程序 [原创]幂法求解矩阵特征值及特征向量-I do not know
Matrix_eigenvalue_and_eigenvector_calculation
- 用C编写的矩阵特征值与特征向量计算的程序函数,与大家共享-Written with the C matrix eigenvalue and eigenvector calculation procedure function, and share
fsdf
- 矩阵特征值与特征向量的计算,经典算法,实用,学习初必备-Matrix eigenvalue and eigenvector calculations, the classical algorithm, practical, learn essential early
pow
- pow为幂法计算,求解矩阵的特征值和特征向量,本文提供了算例和程序-pow method for the power, solve the matrix eigenvalue and eigenvector, the paper provides examples and procedures
第6章 矩阵特征值计算
- 设 A 是n阶方阵,如果存在数m和非零n维列向量 x,使得 Ax=mx 成立,则称 m 是A的一个特征值(characteristic value)或本征值(eigenvalue)。非零n维列向量x称为矩阵A的属于(对应于)特征值m的特征向量或本征向量,简称A的特征向量或A的本征向量。(Let A be a n order square, and if there is a number of M and nonzero n-dimensional column vector x, so tha
层次分析法求特征值与特征向量
- 层次分析法来求得任何一个矩阵的特征值,特征向量,归一化向量(The analytic hierarchy process (AHP) is used to obtain the eigenvalues, eigenvectors and normalization vectors of any matrix)