Description: 用途：用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b
％ 格式: x=spgs(A,b，x0,e,N),A为系数矩阵，b为右端向量，x返回解向量。
％ x0为初值向量(默认原点)，e为精度(默认1e-4),设置迭代次数上限以防发散(默
％ 认500)。 -purposes : with Vector (sparse storage) form of Gauss - Seidel iterative solution of linear equations Ax = b% Format : spgs x = (A, b, x0, e, N), A coefficient matrix, b subguadratic vector, returning x vector. X0% for initial vector (the default origin), e-precision (default 1e-4), iteration ceiling set to prevent divergence (mime identified 500%). Platform: |
Size: 858 |
Author:王志波 |
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Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal. Platform: |
Size: 913 |
Author:陈益林 |
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Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method-- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal. Platform: |
Size: 1024 |
Author:陈益林 |
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Description: 用途：用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b
％ 格式: x=spgs(A,b，x0,e,N),A为系数矩阵，b为右端向量，x返回解向量。
％ x0为初值向量(默认原点)，e为精度(默认1e-4),设置迭代次数上限以防发散(默
％ 认500)。 -purposes : with Vector (sparse storage) form of Gauss- Seidel iterative solution of linear equations Ax = b% Format : spgs x = (A, b, x0, e, N), A coefficient matrix, b subguadratic vector, returning x vector. X0% for initial vector (the default origin), e-precision (default 1e-4), iteration ceiling set to prevent divergence (mime identified 500%). Platform: |
Size: 1024 |
Author:王志波 |
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Description: 用全选主元高斯-约当消去发求解系数矩阵为稀疏矩阵的方程组-Select All PCA with Gaussian- about when fat elimination for solving sparse matrix for the coefficient matrix of equations Platform: |
Size: 32768 |
Author:z |
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Description: 用全选主元高斯—约当消去法求解系数矩阵为稀疏矩阵的大型方程组-Select All PCA with Gauss- Jordan elimination method to solve the coefficient matrix for a large sparse matrix equations Platform: |
Size: 1024 |
Author:蓝星辰 |
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Description: 系数为稀疏矩阵线形方程组求解,对语言有详细说明,在后边附有例子-Coefficient for the sparse matrix solving linear equations, has a detailed description of language, in the back with examples of Platform: |
Size: 43008 |
Author:classic_b |
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Description: 将潮流计算公式矢量化处理,利用Matlab编写潮流程序,并将Matlab的m文件编译成COM组件,可简单实现
Matlab和其它语言的混合编程。通过简单的函数调用即可完成如稀疏、解方程等一系列数学运算,并可轻易实现相关图形的
绘制。潮流计算中采用AMD算法对修正方程系数矩阵进行节点优化,并采用LDLT算法进行求解,有效地减少了注入元,计
算速度成倍提高。在混合编程的模式下,提高了程序开发速度、程序可靠性、计算效率和保密性。
-Formula for calculating the trend vector processing, the use of Matlab procedures for the preparation of the tide, and Matlab m-file compiled into a COM component, can be simply the realization of Matlab and other programming languages mixed. Through a simple function call to complete, such as sparse, solve a series of mathematical equations, and easily achieve the related graphics rendering. Power flow calculation algorithm used in AMD coefficient matrix of the correction equation for node optimization, and the use of LDLT algorithm, effectively reduces injection yuan, doubling to improve computing speed. Programming in mixed mode, increased the speed of program development, program reliability, computational efficiency and confidentiality. Platform: |
Size: 222208 |
Author:wuzhicheng |
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Description: 对于阶数不高的方程组，直接法非常有效，对于阶数高，而系数矩阵稀疏的线性方程组却存在着困难，在这类矩阵中，非零元素较少，若用直接法求解，就要存贮大量零元素。为减少运算量、节约内存，使用迭代法更有利。-The order of the equations is not high, the direct method is very effective for high order, and the sparse coefficient matrix of linear equations, there are difficulties in this type of matrix, the fewer non-zero elements, if the direct method , it is necessary to store a large number of zero elements. To reduce the computation, saving memory, better use of iterative method. Platform: |
Size: 1024 |
Author:鲁亮 |
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Description: 稀疏矩阵的相加，输入两个稀疏矩阵，将两个矩阵中次数相等的项的系数相加存入另一个矩阵中-Sparse matrix add, enter the two sparse matrix, two matrix coefficient of frequency equal to the sum of the items into another matrix Platform: |
Size: 1024 |
Author:superbank |
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Description: 提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观
法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.-Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law. Platform: |
Size: 310272 |
Author:durongmao |
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Description: 系数矩阵的算法代码 实验报告 截图等一全套材料。本人以前使用的独一无二。-Coefficient matrix algorithm code，including a full report capture picture and source code. I used to use and it is obviously unique. Platform: |
Size: 136192 |
Author:xuyu |
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Description: 关于不完整及不精确矩阵恢复的程序。输入矩阵的稀疏系数、测度矩阵、残缺矩阵和逼近容忍程度即可大概恢复出原矩阵并给出恢复评估系数。-Incomplete and inaccurate matrix recovery program. Sparse input matrix coefficients measure matrix, incomplete matrix approximation tolerance level you can probably recover the original matrix and gives the coefficient of recovery assessment. Platform: |
Size: 1024 |
Author:杨锦睿 |
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Description: 基于字典学习的语音增强中字典更新的算法，称作近似K-SVD算法，其中包含了OMP算法用于稀疏编码计算系数矩阵-Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matrix OMP Platform: |
Size: 11540480 |
Author:杨振中 |
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Description: 全选主元高斯-约当消去法求解稀疏线性方程组
输入参数a[]系数矩阵，n线性方程阶数，b[]右端项
输出参数b[]方程组的解
返回值 ： 1求解成功 0求解失败-Select the main element Gauss- Jordan elimination method for solving sparse linear equations
Input parameters a [] coefficient matrix, n order linear equations, b [] right-hand side
Output parameter b solution of equations []
Returns: 1 0 Solving failure to solve success Platform: |
Size: 1024 |
Author:李欣 |
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Search - sparse coefficient matrix