搜索资源列表
maseidel
- 用Gauss-Seidel迭代法解线性方程组Ax=b， A为系数矩阵，b为右端向量-Using Gauss-Seidel iteration method for solving linear equations Ax = b, A as the coefficient matrix, b is the right end of the vector
majacobi
- 用Jacobi迭代法解线性方程组Ax=b，A为系数矩阵，b为右端向量-Solution using Jacobi iterative method of linear equations Ax = b, A as the coefficient matrix, b is the right end of the vector
art
- 用于解反问题的代数重建法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-Algebraic solution of the inverse problem for the reconstruction of France, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
R_max
- 在层次分析法中，求最大特征向量。当然其他的地方也可以用，不要问我什么是最大特征向量哦。-Demand the biggest feature vector.
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
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
fanmifa
- 用反幂法求解矩阵按模最小特征值及特征向量。数值分析c程序。-With the inverse power law model by solving matrix eigenvalue and eigenvector of the smallest. C numerical analysis procedures.
juzheng
- 利用冪法或反冪法，求方阵的按模最大或按模最小特征值及其对应的特征向量。 -Using a power law or inverse power law, seeking phalanx on-die maximum or minimum characteristic values according to model and the corresponding eigenvectors.
all_source_files
- 带双步的QR分解方法求所有特征值，以及反幂法求解对应特征向量-two-steps-qr-descomposure to solve all eigenvalues of a matrix. and antipower method to solve a engenvector correspongding to the eigenvalue
gaussQ
- 程序：全主元Gauss消去法 过程：gaussq(aa,bb,xx,n,sgn) 作用：aa为系数矩阵，bb为右端向量，xx为解向量，n为方程阶数，sgn为标识符，1表示计算正常进行，0表示计算失败 方程形式为：aa(n,n)*x(n)=bb(n)-Procedure: All the main element Gauss elimination process: gaussq (aa, bb, xx, n, sgn) Role: aa for the coefficient mat
maseidelghhhhhhh
- 用途：用Gauss-Seidel迭代法解线性方程组Ax=b 格式：x=maseidel(A,b,x0,ep,N) A为系数矩阵，b为右端向量， -Uses: The Gauss-Seidel iteration method for solving linear equations Ax = b Format: x = maseidel (A, b, x0, ep, N) A as the coefficient matrix, b for the right-hand side vec
guass
- 列主元高斯消去法对于某电路的分析，归结为求解线性方程组RI=V。其中 （1）编制解n阶线性方程组 列主元高斯消去法的通用程序； （2）用所编制程序解线性方程组 ，并打印出解向量，保留5位有效数； -Out the main element Gaussian elimination of a certain circuit analysis, reduced to solving linear equations RI = V. Where (a) the prepar
ykb
- 实对称矩阵特征值与特征向量的雅克比法，ap为是对称矩阵，vp返回特征向量-Real Symmetric Matrix Eigenvalues and Eigenvectors of the Jacobian method, ap is a symmetric matrix, vp return eigenvector
tezhengzhi
- 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
matlabbubblesort
- 基于matlab冒泡法排序的实现,Matlab排序函数,在Matlab中排序某个向量（一维）时，可以使用sort.-Bubble Sort
AStatisticalMethodForRobust3DSurfaceReconstruction
- 在三维表面特征识别中，利用向量空间表示法来进行迷失的顶点坐标推断。-We present a technique that uses a vector space representation of shape to infer missing vertex coordinates.
n_queens
- 图形化N后问题回溯解法,用回溯法求N后问题的所有解并以列表方式给出,某个向量解给出其图形化解布局-After the story goes back a graphical solution of N, N using backtracking after seeking all solutions of the problem and in tabular form are given, a vector graphics to resolve the layout of its soluti
xiangliangfapf
- 用向量法求解电力网络潮流的matlab程序，包含IEEE14节点数据及计算结果-With the vector method to solve the trend of electric power network matlab program that contains the node data and calculation results IEEE14