摘要
给出了计算矩阵与矩阵乘积W=AP的几种算法(其中A或P为中心对称矩阵或中心Hermitian矩阵),与计算矩阵与矩阵乘积的传统算法以及Strassen算法相比较,计算量约节省一半、所需内存可节省一半。另外,当A或P为斜中心对称矩阵时也有相似的结论。
Several algorithms for computing the products of centrosymmetric matrixes are proposed in this paper. In contrast to the traditional algorithm and Strassen algorithm for computing the products of matrixes, our algorithms costs only a half and economizes the memory units by half. And similar conclusions are obtained for the computation of the products of skew centrosymmetric matrixes.
出处
《长沙交通学院学报》
2005年第3期1-5,共5页
Journal of Changsha Communications University
基金
湖南省教育厅优秀青年基金资助(04B006)
