首页> 外文期刊>Algorithmica >A Preemptive Algorithm for Maximizing Disjoint Paths on Trees
【24h】

A Preemptive Algorithm for Maximizing Disjoint Paths on Trees

机译:一种最大化树上不相交路径的抢占算法

获取原文
获取原文并翻译 | 示例
       

摘要

We consider the on-line version of the maximum vertex disjoint path problem when the underlying network is a tree. In this problem, a sequence of requests arrives in an on-line fashion, where every request is a path in the tree. The on-line algorithm may accept a request only if it does not share a vertex with a previously accepted request. The goal is to maximize the number of accepted requests. It is known that no on-line algorithm can have a competitive ratio better than Ω(log n) for this problem, even if the algorithm is randomized and the tree is simply a line. Obviously, it is desirable to beat the logarithmic lower bound. Adler and Azar (Proc. of the 10th ACM-SIAM Symposium on Discrete Algorithm, pp. 1–10, 1999) showed that if preemption is allowed (namely, previously accepted requests may be discarded, but once a request is discarded it can no longer be accepted), then there is a randomized on-line algorithm that achieves constant competitive ratio on the line. In the current work we present a randomized on-line algorithm with preemption that has constant competitive ratio on any tree. Our results carry over to the related problem of maximizing the number of accepted paths subject to a capacity constraint on vertices (in the disjoint path problem this capacity is 1). Moreover, if the available capacity is at least 4, randomization is not needed and our on-line algorithm becomes deterministic.
机译:当基础网络是一棵树时,我们考虑最大顶点不相交路径问题的在线版本。在此问题中,一系列请求以联机方式到达,其中每个请求都是树中的路径。仅当在线算法不与先前接受的请求共享顶点时,在线算法才可以接受请求。目标是最大程度地接受请求。众所周知,即使算法是随机的并且树只是一条线,对于该问题,没有任何一种在线算法具有比Ω(log n)更好的竞争比。显然,希望突破对数下限。 Adler和Azar(第10届ACM-SIAM离散算法研讨会论文集,第1-10页,1999年)表明,如果允许抢占(即可以丢弃先前接受的请求,但是一旦请求被丢弃,它就不能更长的时间),那么就有一种在线随机算法可以使在线竞争率保持恒定。在当前的工作中,我们提出了一种具有优先权的随机在线算法,该算法在任何树上都具有恒定的竞争比。我们的结果继续涉及最大化受顶点容量限制的可接受路径数的相关问题(在不相交路径问题中,此容量为1)。此外,如果可用容量至少为4,则不需要随机化,并且我们的在线算法变得确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号