搜索资源列表
Algebra
- 基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions :
h12
- C环境下矩阵运算类,包含矩阵的基本操作,另有其范数,均值等特殊函数-C environment matrix category, including the basic matrix operations, otherwise its norm, the mean number of special function
TVL1_HCS_v1
- % May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
TwIST_v2
- % demo_l2_l1 - This demo illustrates the TwIST % algorithm in the l2-l1 optimization problem % % xe = arg min 0.5*||A x-y||^2 + tau ||x||_1 % x % % where A is a generic matrix and ||.||_1 is the l1 norm. % After obtaining the solution we implement a
Matrix
- 这是一个自己编制的完整矩阵类，包括矩阵运算、分解、求逆、范数和特征值等，可以做为数值分析的基础类。-This is a complete matrix of their own class preparation, including matrix computation, decomposition, inverse, norm and eigenvalue, etc., can be used as the basis for numerical analysis class.
Mapack_for_NET
- Mapack可用来做矩阵运算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank,
poissonfdm
- 用有限差分法来解偏微分方程，采用高斯——赛德尔迭代方法，并用前后两次迭代差的矩阵的无穷范数作为是否停止迭代的依据。-Using finite difference method to solve partial differential equations, using Gauss- Seidel iterative methods, and poor before and after the two iterations of the infinite matrix norm as the b
theoryandapplicationforfanshu
- 该文档详细的描述了向量范数和矩阵范数的计算及应用，对于处理算法中经常遇到的范数简化有很大的作用。-A detailed descr iption of the document vector norm and the matrix norm calculation and application of processing algorithms for the norm are often encountered in the role of simplified greatly.
Matrix-theory
- 矩阵理论课件，系统讲述线性空间与线性变换、内积空间、特殊变换及其矩阵、矩阵的标准型、向量范数和矩阵范数，以及矩阵分解等六章内容。-The Matrix Theory courseware systemticly introduce the linear spaces and linear transformations, inner product spaces, special transformation and its matrix, the matrix Standard, the ve
Matrix_test
- 在vs2010中实现了一个矩阵类主要功能有矩阵间的基本运算，矩阵下标访问，矩阵的LU分解，QR分解，特征值，矩阵的秩，矩阵的范数，以及基于矩阵元素的基本函数运算。-Vs2010 in the matrix between the main function of a matrix class operator matrix subscr ipting matrix LU decomposition, QR decomposition, eigenvalues, the rank of the m
Jama
- The United States Organization for Standardization and the joint development of MD University. Realize java matrix package. JAMA composed by six java category: Matrix, CholeskyDecomposition, LUDecomposition QRDecomposition SingularValueDecomposition
G-S
- 本程序为G-S迭代法，若系数矩阵满足 1.G-S迭代矩阵谱半径小于一 2.jacobi迭代矩阵一范数或无穷范数小于一 3.系数矩阵A正定 4.系数矩阵A严格对角占优或不可约对角占优 则可返回A*x=b的解。算法迭代次数比 x=M*x+g形式的标准化迭代次数多，但所用时间少很多。-The program for the G-S iteration method, if the coefficient matrix 1.G-S iterative matrix spect
Matrix-Norm
- 本课件详细介绍了图像处理中的向量范数和矩阵范数的定义，并给出了相关应用。-The courseware details image processing vector norm and the matrix norm is defined, and gives related applications.
JISUANFANGFA23
- 猜想：通过对Hilbert矩阵的预处理，能改善Hilbert的病态性质。 验证：根据不同 建立对应的Hilbert矩阵，计算该矩阵的2-范数的条件数，其次计算经过预处理后的H^矩阵的2-范数的条件数，并绘制 曲线。编程实现见附录1中的solution(2)。 实际编程中，分别取 ， ， ， ，可以发现所得到的变化曲线 在 时， 的取值较为平缓的减小，且均小于0。而随着Hilbert矩阵阶数的增大， 的取值在 区间中振荡，主要集中在 ，且多数取值 。则对多数的Hilbert矩阵，其条件数在
JIEXIANXINGFANGCHENGZU
- 解线性方程组的列主元素高斯消去法和LU分解法实验报告-Conjecture: By Hilbert matrix preconditioning can improve the pathological nature of Hilbert.establishment of the corresponding Hilbert matrix, the matrix calculation 2- norm condition number, followed by the calculation 2
Norm-of-matrix
- 各类矩阵的范数，包含行范数，列范数，以及2范数，有利于解决各种范数问题-Norm of matrix norm, contains the row, column norm, and 2 norm, is conducive to resolving the various norm problem
concept-of-orthogonal
- A matrix nearness problem consists of finding, for an arbitrary matrix A, a nearest member of some given class of matrices, where distance is measured in a matrix norm. A survey of nearness problems is given, with particular emphasis on the fun
matrix-completion-via-threshloding
- Matrix Completion via Iterated Thresholding min nuclear-norm(X) subject to ||y - M(X)||_2<e-Matrix Completion via Iterated Thresholding min nuclear-norm(X) subject to ||y- M(X)||_2<err
Parafac codes
- PARAFAC源程序，可以用于平行因子分析处理的算法，很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is l
（强化学习入门）David Silver
- 深度学习的中文版本，里面详细介绍了深度学习的各种算法，其中还有一些用到的基础内容，例如矩阵和向量的范数(Chinese version of the depth of learning, which detailed the depth of learning algorithms, some of which used the basics, such as vector and matrix norm)