CiteULike is a free online bibliography manager. Register and you can start organising your references online.

Packing cycles in undirected graphs Export

Journal of Algorithms In Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms, Vol. 48, No. 1. (August 2003), pp. 239-256.

Citation Format

[Posts]

View FullText article


NeilInCanadia's tags for this article

approximation cycle_packing

X Reviews [Write a review of this article]

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History

X Abstract

Given an undirected graph G with n nodes and m edges, we address the problem of finding a largest collection of edge-disjoint cycles in G. The problem, dubbed , is very closely related to a few genome rearrangement problems in computational biology. In this paper, we study the complexity and approximability of , about which very little is known although the problem is natural and has practical applications. We show that the problem is -hard but can be approximated within a factor of O(logn) by a simple greedy approach. We do not know whether the O(logn) factor is tight, but we give a nontrivial example for which the ratio achieved by greedy is not constant, namely . We also show that, for "not too sparse" graphs, i.e., graphs for which m=[Omega](n1+1/t+[delta]) for some positive integer t and for any fixed [delta]>0, we can achieve an approximation arbitrarily close to 2t/3 in polynomial time. In particular, for any [var epsilon]>0, this yields a 4/3+[var epsilon] approximation when m=[Omega](n3/2+[delta]), therefore also for dense graphs. Finally, we briefly discuss a natural linear programming relaxation for the problem.


X BibTeX record

X RIS record


Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.