搜索资源列表
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.
CH3
- 3.2 实对称三对角阵的全部特征值与特征向量的计算csstq.c 3.3 约化一般实矩阵为赫申伯格矩阵的初等相似变换法chhbg.c 3.4 求赫申伯格矩阵全部特征值的QR方法chhqr.c 3.5 求实对称矩阵特征值与特征向量的雅可比法cjcbi.c-3.2 real symmetric tridiagonal matrix of all eigenvalues and eigenvectors of the calculation of csstq.c 3.3 Reduced g
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
IDEA
- Markov密码的(差分链)转移概率矩阵是双随机矩阵,其第二大(模)特征值对于确定Markov密码必要的迭代轮数有重要价值。该程序由本人编写,实现了求IDEA密码的缩小模型IDEA(8)的转移概率矩阵П0第二大(模)特征值-Markov password (differential chain) transition probability matrix is a doubly stochastic matrix, its second largest (modulus) eigenvalue
f1401
- 用来实现自适应滤波器仿真,可以是实现特征值扩散和变步长仿真。-Is used to achieve adaptive filter simulation, which can be achieved eigenvalue spread and variable step-size simulation.
shuzhi1
- 北航数值分析大作业第一题 用幂法、反幂法求特征值及行列式值、条件数等 完整c语言程序,直接运行就有结果,并且有结果截图-Beihang numerical analysis problem with the first major operating power method, inverse power law seeking eigenvalue and the determinant of value, condition number and so a complete c la
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
matlab_no1
- 利用matlab做一些基礎的矩陣運算指令,包含建立矩陣、計算及求特徵值-Using matlab to do some basic matrix operations command, including the establishment of matrix eigenvalue calculation and demand and so on .....
ch5
- 常用算法程序集(C语言描述)(第三版)+源代码\常用算法程序集(C语言描述)源代码 矩阵特征值与特征向量的计算 -Common algorithms for assembly (C language descr iption) (third edition)+ source code \ common algorithms for assembly (C language descr iption) source code for matrix eigenvalue and eigenvecto