A primal-dual interpretation of two 2-approximation algorithms for the feedback vertex set problem in undirected graphs

被引:65
|
作者
Chudak, FA
Goemans, MX
Hochbaum, DS
Williamson, DP
机构
[1] IBM Corp, Thomas J Watson Res Ctr, Yorktown Heights, NY 10598 USA
[2] Cornell Univ, Sch Operat Res & Ind Engn, Ithaca, NY 14853 USA
[3] CORE, B-1348 Louvain, Belgium
[4] Univ Calif Berkeley, Dept Ind Engn & Operat Res, Berkeley, CA 94720 USA
关键词
approximation algorithms; combinatorial optimization; feedback vertex set;
D O I
10.1016/S0167-6377(98)00021-2
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Recently, Becker and Geiger and Bafna, Berman and Fujito gave 2-approximation algorithms for the feedback vertex set problem in undirected graphs. We show how their algorithms can be explained in terms of the primal-dual method for approximation algorithms, which has been used to derive approximation algorithms for network design problems. In the process, we give a new integer programming formulation for the feedback vertex set problem whose integrality gap is at worst a factor of two; the well-known cycle formulation has an integrality gap of Theta(log n), as shown by Even, Naor, Schieber and Zosin. We also give a new 2-approximation algorithm for the problem which is a simplification of the Bafna et al. algorithm. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:111 / 118
页数:8
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