文件名称:SparseMatrixArithmeticUnit
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稀疏矩阵是指那些多数元素为零的矩阵。利用“稀疏”特点进行存储和计算可以大大节省存储空间,提高计算效率。实现一个能进行稀疏矩阵基本运算的运算器。在一个矩阵中,可以用一个三元组〈row,column,value〉唯一地确定一个矩阵元素,因此,可以利用一个三元组数组(三元组表)来表示一个稀疏矩阵。此程序代码实现了两个稀疏矩阵相加、相减和相乘的运算。稀疏矩阵的输入形式采用三元组表示,而运算结果的矩阵则以阵列形式列输出。-Are those most sparse matrix element is zero. Use of " sparse" feature for storage and computation can be greatly save storage space and improve computational efficiency. To achieve a sparse matrix basic operations can be carried out computing device. In a matrix, you can use a triple < row,column,value> uniquely identify a matrix element, therefore, we can use an array of triples (triple set of tables) to represent a sparse matrix. This code implements two sparse matrix addition, subtraction, and multiplication operations. The input sparse matrix introduced in the form triples, said the results of the operation Zeyi array of forms from the matrix output.
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SparseMatrixArithmeticUnit.c