Title
Approximating the Minimum Equivalent Digraph
Abstract
Abstract. The minimum equivalent graph (MEG) problem is as follows: given a directed graph, find a smallest subset,of the,edges,that,maintains,all,teachability,relations,between,nodes.,This problem,is NP-hard; this paper,gives an approximation,algorithm achieving a performance,guarantee of about 1.64 in polynomial time. The algorithm achieves,a performance,guarantee,of,1.75 in the,time,required,for,transitive,closure. The heart of the MEG problem,is the minimum,strongly,connected,spanning subgraph,(SCSS) problem--the MEG problem restricted to strongly connected digraphs. For the minimum SCSS problem, the paper gives a practical, nearly,linear-time,implementation,achieving,a performance,guarantee,of,1.75. The algorithm,and,its,analysis,are,based,on,the,simple,idea,of contracting,long,cycles.,The analysis,applies directly to 2-EXCHANCE, a general "local improvement" algorithm, showing that its performance guarantee is 1.75. Key , graph, approximation algorithm, strong connectivity, local improvement AMS subject classifications. 68R10, 90C27, 90C35, 05C85, 68Q20
Year
DOI
Venue
2002
10.5555/314464.314492
SODA94: Conference on Discrete Algorithms Arlington Virginia USA January, 1994
Keywords
Field
DocType
transitive closure,graph connectivity,np hard problem,approximation algorithm,directed graph,graph theory,polynomial time,implementation,approximation
Approximation algorithm,Discrete mathematics,Combinatorics,Computer science,Computational geometry,Directed graph,Reachability,Assignment problem,Transitive closure,Time complexity,Digraph
Journal
Volume
Issue
ISSN
cs.DS/0205040
4
SIAM J. Computing 24(4):859-872 (1995)
ISBN
Citations 
PageRank 
978-0-89871-329-9
29
1.80
References 
Authors
17
3
Name
Order
Citations
PageRank
Samir Khuller14053368.49
Balaji Raghavachari2100177.77
Neal E. Young312810.10