背包问题的一种新的并行算法及其在超立方体上的实现

J. Lin, J. Storer
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引用次数: 3

摘要

针对0/1背包问题,提出了一种新的并行算法。在n个处理器的超立方体上,算法运行时间为O(mc(log n)/n),其中m是对象的数量,c是背包的大小。目前已知的最佳超立方算法耗时为O(mc/n+c log n+c/sup 2/)。该算法已在连接机上实现,实验结果表明,该算法对各种规模的问题都有很好的处理效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new parallel algorithm for the knapsack problem and its implementation on a hypercube
A new parallel algorithm is presented for the 0/1 knapsack problem. On a hypercube of n processors, the algorithm runs in time O(mc(log n)/n), where m is the number of objects and c is the knapsack size. The best previous known hypercube algorithm takes time O(mc/n+c log n+c/sup 2/). The new algorithm has been implemented on the Connection Machine and experimental results show that it performs very well for a wide range of problem sizes.<>
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