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Algorithm Research for Vector-Linked List Sparse Matrix Multiplication

机译:向量链表稀疏矩阵乘法的算法研究

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The storage of non-zero elements of sparse matrix in the linked lists can dispense with transpose operation in the multiplication process, because multiplication shall be conducted only for elements in the two sparse matrices whose line number and column number are the same and whose values are not zero. As a result, the number of multiplications will be reduced. In the meantime, the use of linked list to store the elements of matrix will cut back the times of scanning the matrix elements. The theoretical analysis and experimental results show that algorithm of Vector-linked list sparse matrix multiplication has greater time efficiency and needs less storage space. It will lay the foundation for research in the field of image processing.
机译:稀疏矩阵的非零元素在链表中的存储可以省去乘法过程中的转置运算,因为只能对行号和列号相同且值为的两个稀疏矩阵中的元素进行乘法不为零。结果,将减少乘法的次数。同时,使用链表存储矩阵元素将减少扫描矩阵元素的时间。理论分析和实验结果表明,向量链表稀疏矩阵相乘算法具有较高的时间效率和较小的存储空间。这将为图像处理领域的研究奠定基础。

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