Algorithms for finding maximum transitive subtournaments

被引:0
作者
Kiviluoto, Lasse [1 ]
Ostergard, Patric R. J. [2 ]
Vaskelainen, Vesa P. [2 ]
机构
[1] Speago Ltd, Pieni Roobertinkatu 11, Helsinki 00130, Finland
[2] Aalto Univ, Sch Elect Engn, Dept Commun & Networking, POB 13000, Aalto 00076, Finland
基金
芬兰科学院;
关键词
Backtrack search; Clique; Directed acyclic graph; Feedback vertex set; Russian doll search; Transitive tournament; FEEDBACK VERTEX SETS; CLIQUE PROBLEM; SPERNER CAPACITY; DIRECTED-GRAPHS; DIGRAPHS; NUMBER;
D O I
10.1007/s10878-014-9788-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The problem of finding a maximum clique is a fundamental problem for undirected graphs, and it is natural to ask whether there are analogous computational problems for directed graphs. Such a problem is that of finding a maximum transitive subtournament in a directed graph. A tournament is an orientation of a complete graph; it is transitive if the occurrence of the arcs and implies the occurrence of . Searching for a maximum transitive subtournament in a directed graph is equivalent to searching for a maximum induced acyclic subgraph in the complement of , which in turn is computationally equivalent to searching for a minimum feedback vertex set in the complement of . This paper discusses two backtrack algorithms and a Russian doll search algorithm for finding a maximum transitive subtournament, and reports experimental results of their performance.
引用
收藏
页码:802 / 814
页数:13
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