Description: 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 group of linearly independent) and the eigenvalue matrix eigenvector calculation (QR method). Platform: |
Size: 293888 |
Author:李昂 |
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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: |
Size: 12288 |
Author:不死鸟 |
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Description: 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. Platform: |
Size: 2048 |
Author:杨明绥 |
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Description: 本程序为求矩阵的最大特征值、全部特征值和特征向量,应用乘幂法和雅可比过关法-This procedure for the sake of the largest eigenvalue matrix, all eigenvalues and eigenvectors, applications by a power law and the Jacobi clearance method Platform: |
Size: 2048 |
Author:源治 |
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Description: 矩阵特征值计算包括使用matlab中原有的功能和开发后的功能。-Matrix eigenvalue calculation include the use of matlab functions and development of the Central Plains and some post-functions. Platform: |
Size: 3072 |
Author:zy |
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Description: 矩阵的特征值与特征向量
(1)理解矩阵的特征值、特征向量的基本概念;了解矩阵特征多项式概念;
(2)熟练掌握求矩阵的特征值、特征向量的方法;
(3)掌握矩阵的特征值和特征向量的基本性质;
(4)了解求矩阵特征值和特征向量的MATLAB 和MAPLE 命令-Matrix Eigenvalues and eigenvectors (1) understand the matrix eigenvalues, eigenvectors of the basic concepts understanding of the concept of matrix characteristic polynomial (2) proficiency in order to matrix eigenvalue, eigenvector method (3) control Matrix eigenvalues and eigenvectors of the fundamental nature (4) Understanding the demand matrix, eigenvalues and eigenvectors of MATLAB and MAPLE commands Platform: |
Size: 148480 |
Author:alice |
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Description: IRBLEIGS: Finds a few eigenvalues and eigenvectors of a Hermitian matrix.
IRBLEIGS will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem A*x = lambda*x or the generalized eigenvalue problem A*x = lambda*M*x, where A is a sparse Hermitian matrix and the matrix M is positive definite.
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Size: 15360 |
Author:Judy |
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Description: 出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量,并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近,但解决了现有算法普遍存在的配对难题。
-Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular)
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Size: 1024 |
Author:徐微 |
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Description: power算法,可用于求解大型矩阵特征值问题,对小型矩阵同样适用-power algorithm, can be used for solving large matrix eigenvalue problem, apply equally to small matrix Platform: |
Size: 1024 |
Author:neo |
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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: |
Size: 3072 |
Author:chris_zhou |
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Description: 运用幂法求解矩阵的最大特征值、特征向量、一致性指标和随机一致性比率。-Using the power method to solve the largest eigenvalue matrix, eigenvector, consistency index and random consistency ratio. Platform: |
Size: 1024 |
Author:袁骏杰 |
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Description: 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 Platform: |
Size: 2048 |
Author:jenny |
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Description: 幂法求矩阵特征值,矩阵已内置,可修改为其他输入方式-The power law matrix eigenvalue matrix has built-in, can be modified to other input Platform: |
Size: 1024 |
Author:朱倩如 |
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