期刊文献+

稀疏矩阵带宽减小的一种算法 被引量:5

A New Algorithm for Reducing Bandwidth of Sparse Matrix
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摘要 分析了用分层的方法减小稀疏矩阵带宽的不足,产生这些不足的原因主要是分层的深度不一定为最大,而且层之间的宽度相差太大,为此对算法的分层进行了细化,把宽度大的分层上的节点移到宽度小的分层上去,使得分层之间的节点数更加均匀.改进后的算法稳定性增强. The disadvantages for the layers used in reducing bandwidth of sparse matrix are analyzed. The reasons for these disadvantages are that the depth of layer is not always the maximum exactly and there is great difference in width between layers. The layers are refined. The nodes are moved from layers with great widths to those with small widths to make the widths as equal as possible. The stability of the algorithms is enhanced after the improvement.
出处 《华中理工大学学报》 CSCD 北大核心 1998年第12期43-45,共3页 Journal of Huazhong University of Science and Technology
基金 国家自然科学基金 国家教委博士点基金
关键词 稀疏矩阵 带宽 有限元 图论 sparse matrix bandwidth reduction graph
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参考文献2

  • 1刘长学,超大规模稀疏矩阵计算方法,1991年
  • 2熊西文,数值代数,1986年

同被引文献36

  • 1李波.矩阵带宽的最小化[J].科技资讯,2007,5(17):152-153. 被引量:1
  • 2黄志超,包忠诩,周天瑞.有限元节点编号优化[J].南昌大学学报(理科版),2004,28(3):281-284. 被引量:4
  • 3潘振宽,赵维加,洪嘉振,刘延柱.多体系统动力学微分/代数方程组数值方法[J].力学进展,1996,26(1):28-40. 被引量:52
  • 4张祖勋,杨生春,张剑清,柯涛.多基线-数字近景摄影测量[J].地理空间信息,2007,5(1):1-4. 被引量:85
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