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Cycle Cover with Short Cycles

机译:短周期的周期覆盖

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摘要

Cycle covering is a well-studied problem in computer science. In this paper, we develop approximation algorithms for variants of cycle covering problems which bound the size and/or length of the covering cycles. In particular, we give a (1 + ln 2)-approximation for the lane covering problem in weighted graphs with metric lengths on the edges and an O(ln k) approximation for the bounded cycle cover problem with cycle-size bound k in uniform graphs. Our techniques are based on interpreting a greedy algorithm (proposed and empirically evaluated by Ergun et al. as a dual-fitting algorithm. We then find the approximation factor by bounding the solution of a factor-revealing non-linear program. These are the first non-trivial approximation algorithms for these problems. We show that our analysis is tight for the greedy algorithm, and change the process of the dual-fitting algorithm to improve the factor for small cycle bounds. Finally, we prove that variants of the cycle cover problem which bound cycle size or length are APX-hard.
机译:循环覆盖是计算机科学中一个经过充分研究的问题。在本文中,我们为周期覆盖问题的变体开发了近似算法,这些问题限制了覆盖周期的大小和/或长度。特别是,对于边缘长度为公制长度的加权图中的车道覆盖问题,我们给出了(1 + ln 2)逼近,对于周期大小为k的统一边界有界循环覆盖问题,我们给出了O(ln k)逼近图。我们的技术基于对贪婪算法的解释(由Ergun等人提出并经验评估为对偶算法)。然后,通过限制因子揭示非线性程序的解的边界来找到近似因子。这是第一个针对这些问题的非平凡近似算法,我们证明对贪婪算法的分析是严格的,并且改变了双重拟合算法的过程以改善小周期边界的因数,最后,我们证明了周期变体的覆盖绑定周期大小或长度受APX限制的问题。

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