Algorithm Research for Vector-Linked List Sparse Matrix Multiplication

Jikuan Hu, Weiqing Wang
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引用次数: 2

Abstract

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.
向量链表稀疏矩阵乘法算法研究
将稀疏矩阵的非零元素存储在链表中,可以在乘法过程中省去转置运算,因为只有对两个稀疏矩阵中行号和列号相同且值不为零的元素进行乘法。因此,乘法的次数将会减少。同时,利用链表存储矩阵的元素,减少了对矩阵元素的扫描次数。理论分析和实验结果表明,向量链表稀疏矩阵乘法算法具有较高的时间效率和较少的存储空间需求。这将为图像处理领域的研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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