Dynamic Programming on Intervals

Taro Asano
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引用次数: 10

Abstract

We consider problems on intervals which can be solved by dynamic programming. Specifically, we give an efficient implementation of dynamic programming on intervals. As an application, an optimal sequential partition of a graph G=(V, E) can be obtained in O(m log n) time, where n = ¦V¦ and m = ¦E¦. We also present an O(n log n) time algorithm for finding a minimum weight dominating set of an interval graph G=(V, E), and an O(m log n) time algorithm for finding a maximum weight clique of a circular-arc graph G=(V, E), provided their intersection models of n intervals (arcs) are given.
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区间上的动态规划
我们考虑区间上的问题,这些问题可以用动态规划来求解。具体地说,我们给出了区间上动态规划的一种有效实现。作为一个应用,可以在O(m log n)时间内得到图G=(V, E)的最优顺序划分,其中n = V, m = E。我们还给出了一个O(n log n)时间算法来求区间图G=(V, E)的最小权值支配集,以及一个O(m log n)时间算法来求圆弧图G=(V, E)的最大权值团,前提是给出了它们在n个区间(弧)的交模型。
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