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Description: 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 : norm, distance, innerproduct,coldim, rowdim, rank, nullity. *-basic matrix calculation :-*, power, transpose, trace, determinant, minor, matrix of minor, cofactor, the matrix of cofactor, adjoint, inverse, Gauss, gaussjordan, linear transformation, LU decomposition, Gram-Schmidt process, the similarity. B ) Basic vectors functions : norm, distance, innerproduct, coldim, rowdim, rank, nullity.*
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Size: 98304 |
Author: 站长 |
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Description: 美国标准化组织和马里兰大学共同开发.实现java matrix包.
JAMA由六个java类组成:Matrix, CholeskyDecomposition , LUDecomposition QRDecomposition SingularValueDecomposition EigenvalueDecomposition .
它提供了广泛的构造函数,丰富的get,set访问子matrix和元素matrix.
基本的矩阵操作有:矩阵的加,乘,矩阵范数.和提供了方便的打印矩阵的方法.
提供了五个基本的矩阵分离类.可以通过Matrix类调用它们来进行线性计算,翻转和其它矩阵方法.
-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 EigenvalueDecomposition. It provides a wide range of structural function, the rich get, set to visit sub-matrix and element matrix. Have basic matrix operations: matrix increase, multiplication, matrix norm. and provides a convenient matrix print method. provides a separation of five basic types of matrix. can call Matrix category for their linear terms, matrix inversion and other methods.
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Size: 104448 |
Author: 孙娜 |
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Description: 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, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.-Mapack available to do matrix calculation 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, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
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Size: 37888 |
Author: Erison |
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Description: 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 basis of whether or not to stop iteration.
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Size: 1024 |
Author: LGE |
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Description: 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.
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Size: 18432 |
Author: zhangfanger |
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Description: 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 description 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.
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Size: 295936 |
Author: Yu Jian |
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Description: 曲线拟合的最小二乘法 包括算法 一些基本原理 矩阵范数和条件数 矛盾方程组的求解-The least squares curve fitting algorithms, including some of the basic principles of matrix norm and condition number of equations to solve conflicts
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Size: 324608 |
Author: zcy |
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Description: 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 vector norm and matrix norm, and the matrix factorization.
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Size: 4509696 |
Author: 周山人 |
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Description: 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 subscripting matrix LU decomposition, QR decomposition, eigenvalues, the rank of the matrix, the matrix norm, based on the matrix elements of the basic function operations .
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Size: 2560000 |
Author: dragon |
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Description: 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 EigenvalueDecomposition. It provides a wide range of structural function, the rich get, set to visit sub-matrix and element matrix. Have basic matrix operations: matrix increase, multiplication, matrix norm. and provides a convenient matrix print method. provides a separation of five basic types of matrix. can call Matrix category for their linear terms, matrix inversion and other methods.
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Size: 21504 |
Author: 李丽 |
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Description: 矩阵理论：如线性空间、线性变换、内
积空间、正交投影、Jordan标准型、范数
理论等-Matrix theory: linear space, linear transformations, inner product spaces, orthogonal projection, Jordan standard norm theory, etc.
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Size: 1954816 |
Author: huiming |
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Description: 《矩阵论》第三版。作者: 程云鹏，出版社: 西北工大。本书共分七章，主要介绍线性空间与线性变换，矩阵范数，矩阵分析，矩阵分解，特征值估计，广义逆矩阵以及特殊矩阵。本书是学习矩阵分析的经典书籍。-Matrix theory. Third Edition. Author: Cheng Yunpeng, Publisher: West Beigong. The book is divided into seven chapters, introduces linear space and linear transformation matrix norm matrix analysis, matrix factorization, eigenvalue estimation, generalized inverse matrix, as well as special matrix. This book is a learning matrix analysis of classic books.
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Size: 7595008 |
Author: jimye |
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Description: 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 spectral radius less than one
2.jacobi iterative matrix norm or the infinity norm of less than one
3 coefficient matrix A Definite
The coefficient matrix A is strictly diagonally dominant or irreducible diagonally dominant
You can return to the A* x = b solution. Algorithm the number of iterations than
x = M* x+ g in the form of standardized number of iterations, but used much less time.
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Size: 8192 |
Author: Park |
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Description: 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.
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Description: 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，其条件数在经过预处理后，有 ，即预处理在一定程度上改善了原Hilbert矩阵的病态性质。
-Conjecture: By Hilbert matrix preconditioning can improve the pathological nature of Hilbert.
Authentication: Depending on the establishment of the corresponding Hilbert matrix, the matrix calculation 2- norm condition number, followed by the calculation 2 after pretreatment of H ^ matrix- norm condition number, and draw the curve. Programming, see Appendix 1 solution (2).
The actual programming, were taken,, can be found in the curve obtained when the value is reduced more gentle and less than 0. With the Hilbert matrix of order increases, the value in the interval oscillations, mainly in, and most of the value. For most of the Hilbert matrix condition number after a pretreatment with, i.e., to some extent, the pretreatment improves the pathological nature of the original Hilbert matrix.
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Size: 102400 |
Author: 李雷 |
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Description: 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 after pretreatment of H ^ matrix- norm condition number, and draw the curve. Programming, see Appendix 1 solution (2).
The actual programming, were taken,, can be found in the curve obtained when the value is reduced more gentle and less than 0. With the Hilbert matrix of order increases, the value in the interval oscillations, mainly in, and most of the value. For most of the Hilbert matrix condition number after a pretreatment with, i.e., to some extent, the pretreatment improves the pathological nature of the original Hilbert matrix.
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Size: 27648 |
Author: 李雷 |
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Description: 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
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Size: 4096 |
Author: qiaofangtong |
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Description: 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 fundamental properties of symmetry, positive definiteness, orthogonality,
normality, rank-deficiency and instability. Theoretical results and computational
methods are described. Applications of nearness problems in areas including control
theory, numerical analysis and statistics are outlined.
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Size: 193536 |
Author: Archanadevi |
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Description: 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
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Size: 3363840 |
Author: wulinna |
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Description: 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
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Size: 23083008 |
Author: Chenxue Yang |
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