.png){kind=icon}
返回
A parallel pruning technique for highly asymmetric assignment problems
.png){kind=icon}
PRE
AI
DOI：10.1109/71.862206.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We introduce a new two-phase technique to solve highly asymmetric assignment problems. In the first phase, the assignment problem is decomposed into subproblems which are solved in parallel. The first phase is used to exclude certain suboptimal assignments from consideration in the second phase. In the second phase, the optimal assignment is finalized. We show that the two-phase algorithm can reduce the theoretical time bound for solving an n x k assignment problem (n < k) by a factor of root k/n.
Keyword:
computational optimization
linear network flow
mathematical programming
parallel algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
5.2K
被引数:
1.1W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏
没有更多内容
没有更多内容