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codes-for-numerical-analysis
- 高教版数值分析的matlab代码,误差与范数,非线性方程(组)的数值解法,解线性方程组的直接方法,解线性方程组的迭代法,矩阵的特征值与特征向量的计算,函数的插值方法,函数逼近与曲线(面)拟合,数值微分,数值积分,常微分方程(组)求解-entire codes for numerical analysis based on matlab
1MAQR.zip
- 简单实用的QR算法,可以用来求解矩阵的特征值并进而求解矩阵特征向量。,Simple and practical QR algorithm can be used to solve the matrix eigenvalue and thus solving the eigenvectors.
jcbi
- 用来求实对称矩阵特征值与特征向量的雅可比法-Jacobi method for realistic symmetric matrix eigenvalue and eigenvector
QR
- 求解对称三角阵的全部特征值与特征向量的QR方法-QR method of solving all eigenvalues and eigenvectors of a symmetric triangular matrix
jcbj
- 求解实对称矩阵的全部特征值与特征向量的雅可比过关法-Solving all eigenvalues and eigenvectors of a real symmetric matrix Jacobi immigration law
shuzhifenxi1
- 数值分析中通过幂法和反幂法计算矩阵的特征值和特征向量,计算出矩阵的谱范数和行列式,通过c实现-Numerical analysis by the power method and the inverse power method to calculate the matrix eigenvalue and eigenvectors calculated the spectral norm of the matrix and the determinant c achieve
shuzhifenxi2
- 对矩阵拟上三角化,并且对矩阵进行QR分解,从而求出矩阵的特征值以及特征向量。-Matrix intend on triangulation, and matrix QR decomposition, and thus find the eigenvalues and eigenvectors of the matrix.
VB_jacobi
- jacobi法求特征值及特征向量,应用数值分析学习资料-jacobi Calculation of eigenvalues and eigenvectors, the application of numerical analysis of learning materials
eigenvalue-decomposition
- 求解实对称矩阵的特征值和特征向量,并输出最小特征值和对应的特征向量-Solution of eigenvalues and eigenvectors of real symmetric matrix, and output the minimum eigenvalues and corresponding eigenvectors
eigenvalue
- 计算矩阵的特征值和特征向量,采用带双步位移的方法求特征值,并采用高斯消去法解特征向量。 -Calculate the eigenvalues and eigenvectors of the matrix, with a two-step displacement method for solving eigenvalue and Gaussian elimination method for solving feature vector.
music_circle
- 均匀圆阵仿真:m=8 阵元数 azimuth=[-55 0 40] 方位角 p=length(azimuth) 信号源个数 snap=1000 最大快拍数 drl=0.5 圆阵半径与波长之比 snr=15 信噪比dB 流程:1、构造信号2、构造噪声阵列流型矩阵3、观测信号4、观测信号协方差矩阵5、求解特征值与特征向量6、显示图谱。-The uniform circular array simulation: m = 8 element azimuth = [-55 0 40] azim
eig
- 实对称矩阵计算特征值及特征向量,主要是用雅克比法进行迭代计算-Eigenvalues and eigenvectors of real symmetric matrix calculation
jacobi
- 雅可比算法求解矩阵特征值级特征向量问题,本算法有高速的特点-Jacobi algorithm for solving matrix eigenvalue-level feature vector problem, the algorithm has the characteristics of high-speed
QR-decomposition
- QR分解法是目前求一般矩阵全部特征值的最有效并广泛应用的方法,一般矩阵先经过正交相似变化成为Hessenberg矩阵,然后再应用QR方法求特征值和特征向量。它是将矩阵分解成一个正规正交矩阵Q与上三角形矩阵R,所以称为QR分解法,-QR decomposition
mifa
- 幂法主要用于计算矩阵的按模为最大的特征值和相应的特征向量,在数学计算中效率很高-failed to translate
0
- 利用主元分析和奇异值分解进行人脸特征提取的方法(并详细阐述其在PQRSQT中的实现过程(包括读取图像文件U计算均值脸U求特征值和特征向量(计算人脸特征参数-实现过程均给出了MATLAB代码-Using principal component analysis and singular value decomposition facial feature extraction method (and detail its in the PQRSQT in the implementation pr
Caculating_Eigenvalue_Eigenvector
- 求矩阵的特征值和它的特征向量,采用的是QR分解-using QR decomposition to caculate eigenvalue and eigenvector of the matrix,but it is only hold when the eigenvalues of the matrix is real
12531568pca
- 基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以及最后的识别检验-Matlab-based PCA Face Recognition to complete the process, including the eigenvalues and eigenvectors, identification of training samples and the final test
diedai
- 迭代算法,利用matlab编译环境实现迭代求解矩阵最大特征值和特征向量;包含雅克比迭代、高斯迭代和SOR-Iterative algorithm, using matlab compiler environment to achieve maximum iteration for solving matrix eigenvalues and eigenvectors contains Jacobi iteration, Gauss and SOR iteration
matlab
- 误差的来源 非线性方程(组)的数值解法 解线性方程组的直接方法 解线性方程组的迭代法 矩阵的特征值与特征向量的计算 函数的插值方法 函数逼近与曲线(面)拟合 数值微分 数常微分方程(组)求解值积分 -The source of the error Numerical method for solving the nonlinear equation (group) The direct method of solving linear