Description: 矩阵的最大特征值的幂法.
对于工程计算而言，矩阵的特征值和特征向量都是相当重要和常见的数据，这里给出的幂法是一种常见的求解方法，用的是迭代的思想。
符号说明:
1A为待求的矩阵，
2Uk，Vk为迭代用的列向量。
3最后的最大特征值maxLamda由最后一次的max(Uk)-----求Uk中的绝对值最大的元素的绝对值.所决定。
而maxLamda所对应的特征向量由最后一次迭代的Vk所决定.
主要的想法就是先选一个不为0的初始向量U0!=0，然后按下面的式子迭代。
-matrix eigenvalue of the largest power France. For engineering calculation, Matrix eigenvalues and eigenvectors are very important and common data, here is the power law is a common solution, using the iterative thinking. Symbol : 1A of the question for the matrix, 2Uk, Vk iteration of the column vector. The final three largest eigenvalue maxLamda from last max (uk Hoffmann for the uk the largest absolute value of the absolute value of the element. by decision. While maxLamda corresponding eigenvectors from the last iteration of Vk decision. The main idea was first choice not one of the initial vector 0 U0! = 0, then by the following formula iteration. Platform: |
Size: 3328 |
Author:bass |
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Description: 用幂法与反幂法求矩阵的最大特征值及最小特征值-with power law with the anti-power method for matrix eigenvalue of the largest and the smallest eigenvalue Platform: |
Size: 15385 |
Author:杨鸿元 |
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Description: 用幂法与反幂法求矩阵的最大特征值及最小特征值-with power law with the anti-power method for matrix eigenvalue of the largest and the smallest eigenvalue Platform: |
Size: 201728 |
Author:杨鸿元 |
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Description: 幂法求矩阵的特征值和特征向量
算法9.1
1． 输入矩阵A，初始向量X，误差限ε最大迭代次数N。
2． 置k=1，u=0。
3． 求xr=>λ，|xr|=max|xr|,i=1,….,n。
4． 计算
Y=X/λ，X=AY
5． 若|λ-u|〈ε，输出λ，X，停机；否则，转步骤6。
6. 若k<N，k+1=>k，λ=>u,转步骤3；否则，输出错误信息，停机
-Power-law matrix eigenvalue and eigenvector algorithm 9.11. Input matrix A, the initial vector X, the error ε maximum iteration limit N. 2. Home k = 1, u = 0. 3. For xr => λ, | xr | = max | xr |, i = 1, ...., N. 4. Calculation Y = X/λ, X = AY5. If | λ-u | <ε, the output λ, X, downtime Otherwise, switch to step 6.6. If k <N,k+1=> k, λ => u, to Step 3 Otherwise, output an error message , parking Platform: |
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Author:Gellss |
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Description: 矩阵的最大特征值的幂法.
对于工程计算而言，矩阵的特征值和特征向量都是相当重要和常见的数据，这里给出的幂法是一种常见的求解方法，用的是迭代的思想。
符号说明:
1A为待求的矩阵，
2Uk，Vk为迭代用的列向量。
3最后的最大特征值maxLamda由最后一次的max(Uk)-----求Uk中的绝对值最大的元素的绝对值.所决定。
而maxLamda所对应的特征向量由最后一次迭代的Vk所决定.
主要的想法就是先选一个不为0的初始向量U0!=0，然后按下面的式子迭代。
-matrix eigenvalue of the largest power France. For engineering calculation, Matrix eigenvalues and eigenvectors are very important and common data, here is the power law is a common solution, using the iterative thinking. Symbol : 1A of the question for the matrix, 2Uk, Vk iteration of the column vector. The final three largest eigenvalue maxLamda from last max (uk Hoffmann for the uk the largest absolute value of the absolute value of the element. by decision. While maxLamda corresponding eigenvectors from the last iteration of Vk decision. The main idea was first choice not one of the initial vector 0 U0! = 0, then by the following formula iteration. Platform: |
Size: 3072 |
Author:bass |
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Description: 幂法与反幂法求解矩阵特征值的C语言算法实现:本代码以Hilbert矩阵为计算对象，单纯运用C语言进行矩阵的操作以实现幂法与反幂法求解矩阵特征值的算法，应用Matlab软件对计算结果进行检验，计算结果准确无误。-Power law and inverse power method to solve matrix eigenvalue of the C language algorithm: Hilbert matrix of the code for the purpose of calculating the target, simple to use C language to realize the operation of matrix power method and inverse power method to solve matrix eigenvalue algorithm, application Matlab software for calculating the results of testing the accuracy of calculation results. Platform: |
Size: 10240 |
Author:Michael_M |
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Description: 用幂法和反幂法计算矩阵特征值急相关问题的一实例程序，经VC++6.0验证。-With power law and inverse power method to calculate matrix eigenvalue problem related to a radical example of the procedure, the VC++ 6.0 authentication. Platform: |
Size: 221184 |
Author:李维垒 |
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Description: 幂法是一种计算矩阵主特征值（矩阵按模最大的特征值）及对应特征向量的迭代方法，特别适用于大型稀疏矩阵。
但是，一般幂法迭代向量v的各个不等于零的分量将随k 趋向于无穷大而使计算机溢出。因此，我们必须对某通幕法进行规范。即规范化幂法
-Power Method is a calculation of the main eigenvalue matrix (matrix according to the largest eigenvalue modulus) and the corresponding eigenvector of the iterative method, especially for large sparse matrix. However, the general power-law iteration vector v is not equal to zero all the components will be as k tends to infinity overflow of the computer. Therefore, we must pass a law to regulate screen. That is, standardized Power Method Platform: |
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Author:knight |
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Description: 包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included.-Including the use of Gram-Schmit amended QR decomposition algorithm, self-LU decomposition, the use of power law and inverse power method to calculate maximum and minimum matrix eigenvalue procedures. With the exception of the examples of the use of these algorithms for reference. QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included. Platform: |
Size: 4096 |
Author:gogomx |
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Description: 此程序用fortran语言编写，主要功能是用乘幂法求矩阵的最大特征根。-This procedure used fortran language, the main function is used by power-law matrix of the largest eigenvalue. Platform: |
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Author: |
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Description: 运用幂法求矩阵的主特征值（及最大特征值）-The use of power-law matrix of the main features of value (and the largest eigenvalue) Platform: |
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Author:胡珍 |
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Description: 自己编写的程序，用jacobi方法来求解对称矩阵的特征值还有用OR算法以及反幂法来求解特征值。-I have written procedures, with jacobi method to solve the symmetric matrix eigenvalue algorithm have to use OR as well as anti-power-law to solve the eigenvalue. Platform: |
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Author:萧筱 |
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Description: 用幂法与反幂法求矩阵的最大最小特征值，以及与某个值相近的特征值，模最小的特征值，条件数与行列式-Power law with power law and anti-matrix eigenvalues of the max-min, as well as the characteristics of a value similar to the value of the smallest modulus eigenvalue condition number and determinant Platform: |
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Description: 矩阵特征值计算，方法为幂法，包含实验报告和源代码-Matrix eigenvalue calculation method for the power law, including the experimental reports and source code Platform: |
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Description: 矩阵特征值计算，包括乘幂法、雅克比法、单侧旋转法、QR法的MPI源码-Matrix eigenvalue calculation, including the power by law, Jacques ratio method, unilateral rotation method, QR Law MPI Source Platform: |
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Author:不死鸟 |
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Description: 通过求矩阵特征多项式的根来求其特征值
幂法求矩阵的主特征值及主特征向量
瑞利商加速幂法求对称矩阵的主特征值及主特征向量
收缩法求矩阵全部特征值
收缩法求矩阵全部特征值
位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量
QR基本算法求矩阵全部特征值
-Characteristic polynomial by the root of a matrix to find the eigenvalues of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values Platform: |
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Author:chris_zhou |
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Description: 数值分析中，用幂法和反幂法去计算矩阵的最小特征值和最大特征值-Numerical analysis, using the power method and inverse power method to calculate the minimum eigenvalue of the matrix and the largest eigenvalue Platform: |
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Description: 北京航空航天大学硕士研究生数值分析课的第一次大作业，用幂法反幂法求取矩阵的最大最小特征值-Minimum and maximum eigenvalue of the first graduate of Beijing University of Aeronautics and Astronautics numerical analysis class job, using the power method matrix inverse power law to strike Platform: |
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Search - Matrix Eigenvalue Power Law