树网络中的$p$中心问题

Aritra Banik, B. Bhattacharya, Sandip Das, T. Kameda, Zhao Song
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引用次数: 6

摘要

针对具有$n$个顶点的树状网络的加权离散$p$ -中心问题,提出了两种改进算法。我们提出的一个算法运行时间为$O(n \log n + p \log^2 n \log(n/p))$。因此,对于$p$的所有值,我们的算法运行速度与将Cole的加速技术[cole1987]应用于Megiddo和Tamir [megiddo1983]的算法所获得的最有效的$O(n\log^2 n)$时间算法一样快或更快,该算法在近30年来一直没有受到挑战。我们的另一种算法更实用,运行时间为$O(n \log n + p^2 \log^2(n/p))$,当$p=O(\sqrt{n})$时,它比Megiddo和Tamir的$O(n \log^2n \log\log n)$时间算法[megiddo1983]快。
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The $p$-Center Problem in Tree Networks Revisited
We present two improved algorithms for weighted discrete $p$-center problem for tree networks with $n$ vertices. One of our proposed algorithms runs in $O(n \log n + p \log^2 n \log(n/p))$ time. For all values of $p$, our algorithm thus runs as fast as or faster than the most efficient $O(n\log^2 n)$ time algorithm obtained by applying Cole's speed-up technique [cole1987] to the algorithm due to Megiddo and Tamir [megiddo1983], which has remained unchallenged for nearly 30 years. Our other algorithm, which is more practical, runs in $O(n \log n + p^2 \log^2(n/p))$ time, and when $p=O(\sqrt{n})$ it is faster than Megiddo and Tamir's $O(n \log^2n \log\log n)$ time algorithm [megiddo1983].
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