搜索资源列表
gaijin
- 利用特征分解的特征值对特征向量进行加权,可以改善常规MUSIC算法的定位精度-Characteristic decomposition of the eigenvalue eigenvector weighting can improve the positioning accuracy of the conventional MUSIC algorithm
eigenvalue
- 利用Matlab 实现求解矩阵特征值与特征向量的 幂法及反幂法; 利用编制的算法求解给定矩阵的特征值与特征向量; -Matlab power method and inverse power method for solving matrix eigenvalue and eigenvector Prepared by the algorithm for a given matrix of eigenvalues and eigenvectors
Jacobi
- 用Jacobi法求实对称矩阵的特征值与特征向量-PROGRAM TEZHENG_Jacobi
eigenvalue_fortron
- 求解复矩阵特征值和特征向量,其中应有到IMSL数据库中的eigenvalue=(c,w=eigenvector)-solve the eigenvalue and eigenvector of complex matrix
eig_powershift
- 利用原点唯一幂法求解矩阵的最大特征值及其对应的特征向量-Of origin only power method for solving matrix eigenvalue and its corresponding feature vector
eigenvector
- 用于实现特征值和特征向量,这边是实现最大特征值,然后相对应的特征向量-get eigenvalue and eigenvector
Jacobbi
- 雅克比过关法源代码,可以解决特征值和特征向量的算法-The Jacobi clearance method source code, you can solve the eigenvalues and eigenvectors of the algorithm
hbqr
- Hessenberg变换QR法先用初等相似变换将一般实矩阵约化为Hessenberg矩阵,即赫申伯格(Hessenberg)矩阵。再用用带原点位移的QR算法计算赫申伯格矩阵的全部特征值与相应的特征向量。-Hessenberg transform QR method with elementary first similarity transformation matrix will generally about into Hessenberg matrix
HHQR
- 对于一个实对称矩阵A,QR算法采用的是Householder矩阵,先将A约化为对称三对角矩阵,然后再用QR法求对称三角矩阵的特征值和特征向量- for A real symmetric matrix A, QR algorithm USES is the Householder matrix, the first A symmetrical about into three diagonal matrix, and then use QR method for the symmetric tri
MMatrixxa
- 关于矩阵运算的各种数值算法,包括实(复)矩阵求逆,对称正定矩阵与托伯利兹矩阵阵的求逆,线性方程组的常用解法,矩阵的各种分解方法,特征向量与特征值的求解等等。 -Numerical algorithms on a variety of matrix operations, including real (complex) matrix inversion symmetric positive definite matrix inverse matrix array with Tuobo Lee
Estimation-of-Diffusion-Tensor
- 离散张量核磁共振成像数据集的可视化,涉及到特征值,特征向量-Visualization of discrete tensor magnetic resonance imaging data sets related to the eigenvalues, eigenvectors
Google-PageRank
- 通过实例学习用幂法解决方程组的特征值和特征向量实际问题,并以Google的PageRank算法为例进行验证。-Learn by example the power method to solve the equations, eigenvalues and eigenvectors problems, and to validate Google' s PageRank algorithm, for example.
2JCBI
- 求实对称矩阵特征值与特征向量的雅可比算法-Realistic and symmetric matrix eigenvalues and eigenvectors of the Jacobi algorithm
Eig
- 矩阵特征值分解的C++代码,编译形成一个动态链接库,供其它地方调用,可以计算矩阵的特征值与特征向量-Matrix eigenvalue decomposition of C++ of code, compile the formation of a dynamic link library for other places to call, we can calculate the matrix of eigenvalues and eigenvectors
NR_C301
- 数值计算方法,包括插值和拟合、数值微分和数值积分、求解线性方程组的直接法和迭代法、 计算矩阵特征值和特征向量和常微分方程数-Numerical methods, including interpolation and fitting, numerical differentiation and numerical integration of direct methods and iterative methods for solving linear equations, computing
CPP-Classical-algorithm
- 插值 查找 常微分方程(组)的求解 多项式与连分式函数的计算 非线性方程与方程组的求解 复数运算 汉字操作 基本图形操作 极值问题 矩阵特征值与特征向量的计算 拟合与逼近 排序 数据处理与回归分析 数学变换与滤波-Interpolation to find the ordinary differential equation (group) polynomial continued fraction function to calculate
JQRrara
- Java实现QR分解法求矩阵的的所有特征值及特征向量 -Java implementation of the QR decomposition matrix of all the eigenvalues and eigenvectors
fanmifa
- 反幂法计算最小特征值及其特征向量,matlab调用函数-Inverse power method to calculate the smallest eigenvalue and its eigenvectors matlab function is called
Newton-iteration
- 数值分析计算中,用牛顿迭代法求解矩阵的特征值和特征向量-Numerical analysis, the Newton iterative method using eigenvalues and eigenvectors
MatrixCalculator
- 2.1 矩阵类设计 2.2 矩阵基础运算 2.3 实矩阵求逆的全选主元高斯-约当法 2.4 复矩阵求逆的全选主元高斯-约当法 2.5 对称正定矩阵的求逆 2.6 托伯利兹矩阵求逆的特兰持方法 2.7 求行列式值的全选主元高斯消去法 2.8 求矩阵秩的全选主元高斯消去法 2.9 对称正定矩阵的乔里斯基分解与行列式的求值 2.10 矩阵的三角分解 2.11 一般实矩阵的QR分解 2.12 一般实矩阵的奇异值分解 2.13 求广义