Computer Science – Data Structures and Algorithms
Scientific paper
2011-04-17
Computer Science
Data Structures and Algorithms
Scientific paper
Split decomposition of graphs was introduced by Cunningham (under the name join decomposition) as a generalization of the modular decomposition. This paper undertakes an investigation into the algorithmic properties of split decomposition. We do so in the context of graph-labelled trees (GLTs), a new combinatorial object designed to simplify its consideration. GLTs are used to derive an incremental characterization of split decomposition, with a simple combinatorial description, and to explore its properties with respect to Lexicographic Breadth-First Search (LBFS). Applying the incremental characterization to an LBFS ordering results in a split decomposition algorithm that runs in time $O(n+m)\alpha(n+m)$, where $\alpha$ is the inverse Ackermann function, whose value is smaller than 4 for any practical graph. Compared to Dahlhaus' linear-time split decomposition algorithm [Dahlhaus'00], which does not rely on an incremental construction, our algorithm is just as fast in all but the asymptotic sense and full implementation details are given in this paper. Also, our algorithm extends to circle graph recognition, whereas no such extension is known for Dahlhaus' algorithm. The companion paper [Gioan et al.] uses our algorithm to derive the first sub-quadratic circle graph recognition algorithm.
Corneil Derek
Gioan Emeric
Paul Christophe
Tedder Marc
No associations
LandOfFree
Practical and Efficient Split Decomposition via Graph-Labelled Trees does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Practical and Efficient Split Decomposition via Graph-Labelled Trees, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Practical and Efficient Split Decomposition via Graph-Labelled Trees will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-394189