搜索资源列表
JocobiGG
- 本程序是根据jacobi过关法求实对称矩阵的全部特征值和特征向量-This procedure is based on realistic method jacobi clearance of all symmetric matrix eigenvalue and eigenvectors
chengxu
- 第一章 误差与范数 第二章 非线性方程（组）的数值解法 第三章 解线性方程组的直接方法第四章 解线性方程组的迭代法第五章 矩阵的特征值与特征向量的计算-Chapter norm error and the second chapter of nonlinear equations (Group) Chapter III of the numerical solution of linear equations solution methods of Chapter IV of the direc
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
- 用反幂法求解矩阵的最小特征值，主要的困难时矩阵的分解-Method using anti-power of the smallest eigenvalue matrix
read
- 基于变异系数权重的TOPSIS法，根据评价指标特征值矩阵 构成规范化的矩阵 及规范化的加权矩阵Z。-Coefficient of variation based on the weight of the TOPSIS method, based on the evaluation indicator matrix eigenvalue of the matrix constitutes a standardization and the standardization of the weight
PROPACK_1.1_Matlab.tar
- 计算两端特征值的高效算法,调数值计算lapack包. -Eigenvalue calculation at both ends of the efficient algorithm, adjusting numerical lapack package.
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.
EigenvalueVectorRealSymmetryJacobiB
- 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过关法-Matrix eigenvalue and eigenvector calculations, real symmetric matrix eigenvalue and eigenvector of Jacobian clearance method
EigenvalueVectorRealTriangleQR
- 矩阵特征值与特征向量的计算，实对称三角阵全部特征值及特征向量QR法-Matrix eigenvalue and eigenvector calculations, all the characteristics of real symmetric triangular matrix value and the QR method eigenvector
chap_3
- 矩阵运算，适合初学者学习。包括矩阵函数矩阵分解特征值分析等-Matrix operations, suitable for beginners to learn. Including the matrix function matrix eigenvalue decomposition analysis, etc.
SVD
- 常规DOA谱估计music算法在多径环境下失效，SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵，可以成功估计相干信号。-Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construc
shizhimusic
- DOA谱估计实值MUSIC算法把复数协方差矩阵映射成实数矩阵来处理，特征值分解计算量降低了75 ，实值music算法可以分辨相干信号源-DOA in real MUSIC spectral estimation algorithm to map the complex covariance matrices to deal with real, eigenvalue decomposition calculation reduced by 75 , real music algorithm ca
program
- 北航数值分析大作业第一题，幂法，反幂法求最大及最小特征值-Numerical Analysis of Beihang first big job title, power method, inverse power law demand the biggest and the smallest eigenvalue
fanmifa
- 用反幂法求解矩阵按模最小特征值及特征向量。数值分析c程序。-With the inverse power law model by solving matrix eigenvalue and eigenvector of the smallest. C numerical analysis procedures.
kwiener
- The following code implements a kernel Wiener Filter algorithm in MATLAB. The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far. -The following code implement
winerfilter
- The following code implements a kernel wiener filter algorithm in MATLAB.The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.
mifa
- 通过一定的判断，可以用秘法求值最大的特征值-Through certain judgments can be evaluated with the secret method the largest eigenvalue
kpca_origin
- Kernel PCA toy example Nonlinear component analysis as a kernel Eigenvalue problem
kpca_origin
- Nonlinear component analysis as a kernel Eigenvalue problem
3
- 1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 -1, randomly generated a 5* 5 matrix A, elements in line with uniform