Description: 在VC环境下实现稀疏矩阵的转置！这个程序是以C语言写的，而且用的是数据结构的三元组表示矩阵！-in VC environment under the sparse matrix switch home! This program is written in C language, but using the data structure of ternary group said Matrix! Platform: |
Size: 905 |
Author:支新辉 |
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Description: 当稀疏矩阵A和B均以三元组表作为存储结构时，试写出矩阵相加的算法，其结果存放在三元组表C中。
解：这个算法有点繁，要考虑到两个稀疏矩阵的非零元素不是一一对应的，在建立新的三元组表C时，为了使三元组元素仍按行优先排列，所以每次插入的三元组不一定是A的，按照矩阵元素的行列去找A中的三元组，若有，则加入C，同时，这个元素如果在B中也有，则加上B的这个元素值，否则这个值就不变 如果A中没有，则找B，有则插入C，无则查找下一个矩阵元素。
-sparse matrix A and B were 3 groups, as a storage structure and try to write together the matrix algorithm, results stored in ternary Group C table. Solution : This is a bit complicated algorithm, taking into account the two nonzero sparse matrix element is not one-to-one. the establishment of a new ternary Group C table, in order to enable groups of elements remaining three yuan prioritize OK, So inserted three yuan each group is not necessarily A, in accordance with the matrix elements ranks to find a group of three yuan, and if so, C is added, and if this element is B, plus the B value of the element, Otherwise, the value on the same if not A, then B to find, then insert C, no one will find under the matrix elements. Platform: |
Size: 2545 |
Author:snow |
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Description: 关于稀疏矩阵转置算法的相关的用c语言编写的一个源程序代码-on sparse matrix transpose algorithm c related to the language used in the preparation of a source code Platform: |
Size: 1045 |
Author:王鹤新 |
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Description: 用C语言编写的，实现一个能进行稀疏矩阵基本运算的运算器。-writen in C language, implemented calculator which can execute basic operator of sparse matrix. Platform: |
Size: 2753 |
Author:雨金 |
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Description: 用C语言编写的，实现一个能进行稀疏矩阵基本运算的运算器。-writen in C language, implemented calculator which can execute basic operator of sparse matrix. Platform: |
Size: 2048 |
Author:雨金 |
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Description: 一本关于稀疏矩阵的算法与实现，适合作为稀疏矩阵的参考-a sparse matrix on the algorithm and implementation for sparse matrix as a reference Platform: |
Size: 10163200 |
Author: |
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Description: 这是Yousef Saad编写的矩阵运算的Fortran软件包（A basic tool-kit for sparse matrix computations (Version 2),包含常见的排序，预处理(ILU分解等)，Krylov子空间迭代法，以及有限差分等方法得到的算例等。有不少很实用的子程序（比如稀疏矩阵相加、相乘等等，可以学习专家的设计哟！）。极力向学习大型线性方程组数值解的人推荐（不足之处就是Fortran实现，本人觉得还是C语言好）。-Yousef Saad This is prepared in the Fortran matrix calculation package (A basic tool-kit for sparse matrix computations (Version 2), contains the common sort, preconditioning (ILU decomposition, etc.), Krylov subspace iteration method, as well as limited differential and other methods such as numerical example. there are many very practical subprogram (such as sparse matrix add, multiply, etc., can learn from experts in the design yo!). hard to study large-scale numerical solution of linear equations of the people Recommended (Fortran is inadequate to achieve, I feel good or C language). Platform: |
Size: 1157120 |
Author:张德柱 |
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Description: SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions. -SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Platform: |
Size: 1955840 |
Author:anfangde |
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Description: 用C语言写的在三元组表上实现两个稀疏矩阵求和运算-Written in C language used in the three groups, to achieve the sum of two sparse matrix computation Platform: |
Size: 1024 |
Author:王鼎 |
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Description: 对基于稀疏矩阵存储技术的对称正定稀疏矩阵进行LDL分解，C++编写-LDL is a set of concise routines for factorizing symmetric positive-definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface.
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Size: 226304 |
Author:aaq |
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Description: 用C++先压缩稀疏矩阵于链表,再解压缩链表还原为稀疏矩阵-C++, the first compressed sparse matrix in the list, and then extract the list reduced to sparse matrix Platform: |
Size: 1024 |
Author:dzily |
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Description: This a package containing sparse matrix operations like multiplication, addition, Cholesky and LDLT decompositions and so on. I started developing it because I needed a simple, easy to use, efficient library, that did not have any external dependencies (like BLAS, LAPACK, etc.) so I could readily modify it to my needs. The code is in C++ but it could easily be ported to C with just minor modifications (like adding additional parameters to the functions playing the role of "this" and such). It consists of a C++ class divided in a header and an implementation.
The code has been compiled and tested on Microsoft Visual Studio 2008 s and 2010 s compilers as well as on Intel s C++ Compiler version 11.1.054 on Windows XP and Windows 7-This is a package containing sparse matrix operations like multiplication, addition, Cholesky and LDLT decompositions and so on. I started developing it because I needed a simple, easy to use, efficient library, that did not have any external dependencies (like BLAS, LAPACK, etc.) so I could readily modify it to my needs. The code is in C++ but it could easily be ported to C with just minor modifications (like adding additional parameters to the functions playing the role of "this" and such). It consists of a C++ class divided in a header and an implementation.
The code has been compiled and tested on Microsoft Visual Studio 2008 s and 2010 s compilers as well as on Intel s C++ Compiler version 11.1.054 on Windows XP and Windows 7 Platform: |
Size: 11264 |
Author:Vasudev Jakhar |
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Description: 用C++实现的稀疏矩阵运算，里面包含了代码的实现和说明文档-It s a realization of sparse matrix operations in C++, it contains the implementation code and documentation Platform: |
Size: 231424 |
Author:Jason |
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Description: 假设稀疏矩阵A和B均以三元组表作为存储结构，试写出矩阵相加(相乘—选做)的算法，另设三元组表C存放结果矩阵。
-Assuming a sparse matrix A and B are in triples table as a storage structure, try to write the matrix (multiplied by- election) algorithm by adding additional triples Table C store the resulting matrix. Platform: |
Size: 2048 |
Author:zhengchaojie |
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Description: 字符匹配问题为典型的字符数组的运用问题，体现了c语言面向过程的特性，在VC6.0下能够正确编译以及运行。-The problem of character matching is a typical character array, which reflects the characteristics of C language and can be compiled and run in VC6.0.
Platform: |
Size: 156672 |
Author:刘翼 |
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Description: ·在矩阵中，若数值为0的元素数目远远多于非0元素的数目，并且非0元素分布没有规律时，则称该矩阵为稀疏矩阵，并用三元组表表示。该算法只扫描两遍原三元组表，就能够获得稀疏矩阵的转置矩阵(In matrix, if the number of elements 0 is far more than the number of non 0 elements, and the distribution of non 0 elements is not regular, it is called sparse matrix, and it is expressed by three tuple table. The algorithm only scanned the original three tuple table two times, and can obtain the transposed matrix of the sparse matrix.) Platform: |
Size: 6338560 |
Author:静守成雯
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Description: 以三元组表示稀疏矩阵A，B，试编写矩阵相加的算法，结果存放在C矩阵。(Three tuples are represented by the sparse matrix A, B, and the matrix addition algorithm is written. The results are stored in the C matrix.) Platform: |
Size: 429056 |
Author:wy07 |
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