偶图中最大-最小循环布局问题的动态规划方法

P. Recht
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引用次数: 3

摘要

设它是一个无向图。那么G中的最大环填充问题就是在G中找到一组边不相交的环,使得s是最大值。一般来说,最大循环填充问题是np困难的。本文证明了对于偶图,如果这样一个集合满足使所有边不相交的循环集合的数量最小的条件,则它是一个最大循环填充。本文表明,这种布局的确定可以用动态规划方法来解决。为了求解该问题,给出了一个合适的非循环网络上的最短路径过程。它使用一个特定的单调节点电位。
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A Dynamic Programming Approach for the Max-Min Cycle Packing Problem in Even Graphs
Let be an undirected graph. The maximum cycle packing problem in G then is to find a collection of edge-disjoint cycles Ciin G such that s is maximum. In general, the maximum cycle packing problem is NP-hard. In this paper, it is shown for even graphs that if such a collection satisfies the condition that it minimizes the quantityon the set of all edge-disjoint cycle collections, then it is a maximum cycle packing. The paper shows that the determination of such a packing can be solved by a dynamic programming approach. For its solution, an-shortest path procedure on an appropriate acyclic networkis presented. It uses a particular monotonous node potential.
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