Description: 针对工程中常用的行之有效的算法而编写，其主要内容包括多项式的计算、复数运算、随机数的产生、矩阵运算、矩阵特征值与特征向量的计算、线性代数方程组的求解、非线性方程与方程组的求解、插值与逼近、数值积分、常微分方程组的求解、数据处理、极值问题的求解、数学变换与滤波、特殊函数的计算、排序和查找。(The effective algorithm commonly used in engineering and preparation, the main contents include polynomial calculation, complex operation, random number generation, matrix operations, matrix eigenvalue and eigenvector calculation, the solution of linear algebraic equations, nonlinear equations and solving equations, interpolation and approximation, numerical integration, ordinary differential equation group solving, data processing, extremum problem solving, mathematical transformation and filtering, special function calculation, sorting and searching.) Platform: |
Size: 229376 |
Author:堪别丶执子右 |
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Description: 进行数值计算的著名软件，LAPACK包含了求解科学与工程计算中最常见的数值线性代数问题，如求解线性方程组、线性最小二乘问题、特征值问题和奇异值问题等。(LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.) Platform: |
Size: 31635456 |
Author:老博 |
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Description: ICA盲源分离，实现对未知混合信号进行盲分离；低通滤波器。(BSS using eigenvalue value decomposition
Program written by A. Cichocki and R. Szupiluk
X [m x N] matrix of observed (measured) signals,
W separating matrix,
y estimated separated sources
p time delay used in computation of covariance matrices
optimal time-delay default p= 1
First stage: Standard prewhitening) Platform: |
Size: 1024 |
Author:Arry W |
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Description: C语言的上H矩阵求特征值,返回值：整型。运行成功则返回1,失败则返回0(The upper H matrix of C language takes the eigenvalue and returns the value: integer.Run success returns 1, failure returns 0.) Platform: |
Size: 1024 |
Author:zhaobo |
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Description: Arnoldi过程是各种大规模计算的一个基本程序，包括计算大规模矩阵的特征值、大规模系统的模型降阶等。(Arnoldi process is a basic algorithm in large-scale computation including eigenvalue solve of matrix and MOR.) Platform: |
Size: 1024 |
Author:jmy君君 |
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Description: 以悬臂梁为例，用有限元法编程生成质量矩阵和刚度矩阵（采用平面梁单元，单元数在10到30之间）。
使用matlab的用于广义特征值问题分析的函数（eig(A,B,'chol')，该命令使用乔莱斯基分解的方法，计算对称矩阵A和对称正定矩阵B的广义特征值问题。A对应刚度矩阵，B对应质量矩阵）计算梁的前三阶固有频率和振型，计算得到梁的前三阶固有频率和振型，并画出振型图。(Taking cantilever beam as an example, the mass matrix and stiffness matrix are programmed by finite element method (using planar beam elements, with units ranging from 10 to 30). Using Matlab's function (eig (A, B,'chol') for the generalized eigenvalue problem analysis, the command uses the Jo Lessky decomposition method to calculate the generalized eigenvalue problem of the symmetric matrix A and the symmetric positive definite matrix B. A corresponds to the stiffness matrix and B corresponding to the mass matrix. The first three natural frequencies and modes of the beam are calculated, and the first three natural frequencies and modes of the beams are calculated, and the vibration pattern is drawn.) Platform: |
Size: 1024 |
Author:余柏树 |
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Description: 实现了图像的加水印，去噪，加噪声等功能，基于欧几里得距离的聚类分析，AHP层次分析法计算判断矩阵的最大特征值。( Realize image watermarking, de-noising, plus noise and other functions, Clustering analysis based on Euclidean distance, Calculate the maximum eigenvalue judgment matrix of AHP.) Platform: |
Size: 4096 |
Author:txb |
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Description: 对电力系统小干扰稳定性进行分析的方法大致可以分为以下几种：数值仿真方法、建立在线性模型基础上的分析方法、小干扰稳定域分析方法、非线性理论分析方法和计及模型不确定性的分析方法。对小干扰稳定性问题可以采用线性模型进行研究，这种线性模型是将描述系统动态行为的微分方程和代数方程在稳态运行点处线性化后得到的。目前，建立在线性模型基础上的电力系统小干扰稳定性分析方法主要有两种：以状态空间模型描述为基础的特征值分析法和以传递函数矩阵为基础的频域分析法。本文采用全部特征值分析法（QR 法）对9节点系统在稳态处进行小干扰稳定分析。(The analysis methods of power system small disturbance stability can be roughly divided into the following: numerical simulation method, analysis method based on linear model, small disturbance stability region analysis method, nonlinear theoretical analysis method and analysis method considering model uncertainty. A linear model can be used to study the stability of small disturbance. The linear model is obtained by linearizing the differential equation and algebraic equation describing the dynamic behavior of the system at the stable operation point. At present, there are two main methods of power system small disturbance stability analysis based on linear model: eigenvalue analysis based on state space model description and frequency domain analysis based on transfer function matrix. In this paper, the QR method is used to analyze the stability of 9-node system at steady state.) Platform: |
Size: 272384 |
Author:曰曰 |
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Search - eigenvalue matrix