搜索资源列表
QR
- 在对矩阵进行拟上三角化的基础上利用带双步位移的QR分解法求解矩阵的特征值-To be in the upper triangular matrix based on the use of dual-band step-by-step displacement of QR decomposition method for solving matrix eigenvalue
JCBI
- 雅可比法求实对称矩阵特征值与特征向量，有例子，检验过，很顺利-Jacobian method realistic symmetric matrix eigenvalue and eigenvector, there are examples of tests, it is smooth
JCBJ
- 雅可比过关法求实对称矩阵特征值与特征向量，有例子，检验过，很顺利-Clearance method Jacobian realistic symmetric matrix eigenvalue and eigenvector, there are examples of tests, it is smooth
MetrixVector
- vc++实现矩阵特征值与特征向量的计算
MyMatrix
- 一个可以实现矩阵相关运算的程序，例如行列式值，逆矩阵，特征值，矩阵的迹等等，可以作为其他程序的辅助工具，具有一定的实用价值，编译通过，可运行-A matrix can be related to computing procedures, such as value determinant, inverse matrix, eigenvalue, matrix trace, etc., can be used as an aid to other procedures, has a certai
guoguan
- jacobi过关法求解矩阵特征值主函数，可以求解实对称矩阵的特征值-clearance jacobi matrix eigenvalue method to solve the main function, you can solve the real symmetric matrix eigenvalue
NumericalAlgebra
- 学习使用各种数值方法计算数值代数问题。其中包括计算矩阵的特征值问题，误差问题等。-Learning to use a variety of numerical method numerical algebra problems. Including the calculation of matrix eigenvalue problem, error and so on.
SolveEigenvalue
- 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.
PluralandMatrix
- C源码之复数运算和矩阵运算：内含复数的表示，复数的所有运算（包括求共轭，解析函数等）。矩阵的创建，加减运算，矩阵和向量乘法，矩阵和矩阵乘法，矩阵求逆，求矩阵特征值和特征向量； 现在大量科学计算要求在C编程中使用复数或者矩阵，希望能给你带来帮助~ -C-source computing, and the complex matrix calculation: that includes plural, the plural of all operations (including seek
juzhentezhengzhiwentijisuan
- 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
JocobiGG
- 本程序是根据jacobi过关法求实对称矩阵的全部特征值和特征向量-This procedure is based on realistic method jacobi clearance of all symmetric matrix eigenvalue and eigenvectors
QR
- 矩阵全部特征值的QR方法，包括化一般矩阵为上Hessenberg阵，平面旋转阵(Givens变换阵)，用 Givens变换对上Hessenberg阵作QR分解，原点平移加速的QR方法等-Eigenvalue matrix of all the QR methods, including the general of the Hessenberg matrix array, planar array rotation (Givens transformation matrix), with the
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
matrix
- 用反幂法求解矩阵的最小特征值，主要的困难时矩阵的分解-Method using anti-power of the smallest eigenvalue matrix
read
- 基于变异系数权重的TOPSIS法，根据评价指标特征值矩阵 构成规范化的矩阵 及规范化的加权矩阵Z。-Coefficient of variation based on the weight of the TOPSIS method, based on the evaluation indicator matrix eigenvalue of the matrix constitutes a standardization and the standardization of the weight
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.