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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
Date : 2025-12-29 Size : 1kb User : 王鹤新

 SparseLib + +是一个c++类库,为在不同的计算机平台进行有效稀疏矩阵的计算。这个软件组成对象包含了目前正在使用的几种稀疏矩阵存储格式(在这个版本:压缩行、压缩列和协调格式),提供基本的功能,节约稀疏矩阵存储空间和计算时间。-SparseLib++ is a C++ class library for efficient sparse matrix computations across various computational platforms. The software package consists of matrix objects representing several sparse storage formats currently in use (in this release: compressed row, compressed column and coordinate formats), providing basic functionality for managing sparse matrices, together with efficient kernel mathematical operations (e.g. sparse matrix-vector multiply). Routines based on the Sparse BLAS are used to enhance portability and performance. Included in the package are various preconditioners commonly used in iterative solvers for linear systems of equations. The focus is on computational support for iterative methods, but the sparse matrix objects presented here can be used on their own.
Date : 2025-12-29 Size : 159kb User : 刘振华

在数据结构课程中,稀疏矩阵的转置,用C语言编写实现这一功能-Course in data structures, sparse matrix transpose, to achieve this using C language functions
Date : 2025-12-29 Size : 1kb User : yuki

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。 矩阵相加测试实例: 0 7 0 8 0 2 0 1 0 0 A= 4 0 0 0 5 B= 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 6 0 0 -6 0 处理过程提示: 输入稀疏矩阵A和B 检测A和B能否相加 矩阵相加运算 打印运算结果-Sparse matrix A and B are in three yuan group table as A storage structure
Date : 2025-12-29 Size : 43kb User : 李俐贤

C语言写的稀疏矩阵的四则运算,里面有加减和乘法-Four sparse matrix computation , written in C language , there are addition and subtraction and multiplication
Date : 2025-12-29 Size : 935kb User : Davy Lee

根据《数据结构》学所内容,使用C++中的封装、继承、运算符重载、类模板等技术,完成以上各个数据结构类的设计。-According to the data structure of the study content, use the inheritance, sealing, in c++ operator overloaded, class template technology, complete the above all data structure kind design. subtraction, the zero members all change the, again call operation addition. Multiplication, in can under the condition of multiples respectively, the each line processing: a column such as: if M in the first line of the first and last a nonzero, the first and the last, and N respectively in the first line and the last line of non-zero member multiplication. The results obtained by the position of the corresponding kept in, to deal with to the downside. The results in the same position on adding together. Finally with sparse matrix
Date : 2025-12-29 Size : 2kb User :

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.)
Date : 2025-12-29 Size : 419kb User : wy07
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