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In this thesis, the design and realization of a special cluster are presented for calculating branch and bound algorithm that can decrease the calculating time and enhance the algorithmic efficiency.
本文设计实现的一种专用于计算分支定界算法的机群计算平台，能减少分支定界算法的计算时间复杂度，提高分支定界算法的效率。
This method can enhance efficiency of the master unit and raise stability and facilitate maintenance of the whole system.
采用这种方式既提高了上位机的效率，又增加了系统的稳定性，方便系统的维护。
Cluster retrieval method can produce classification of similar data through clustering, and data searching is processed based on this. It can effectively enhance the data retrieval efficiency.
聚类检索通过聚类产生相似数据的分类，并以此为基础进行数据查询，从而提高数据检索的效率。
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