Homogeneity vs. Adjacency: generalising some graph decomposition algorithms

dc.creatorXuan, Binh Minh Bui
dc.creatorHabib, Michel
dc.creatorLimouzy, Vincent
dc.creatorDe Montgolfier, Fabien
dc.date2006-03-13
dc.date.accessioned2026-07-07T07:05:50Z
dc.date.available2026-07-07T07:05:50Z
dc.descriptionIn this paper, a new general decomposition theory inspired from modular graph decomposition is presented. Our main result shows that, within this general theory, most of the nice algorithmic tools developed for modular decomposition are still efficient. This theory not only unifies the usual modular decomposition generalisations such as modular decomposition of directed graphs or decomposition of 2-structures, but also star cutsets and bimodular decomposition. Our general framework provides a decomposition algorithm which improves the best known algorithms for bimodular decomposition.
dc.descriptionsoumis à WG 2006
dc.identifierhttps://arxiv.org/abs/cs/0603048
dc.identifierhttp://arxiv.org/abs/cs/0603048
dc.identifierGraph-Theoretic Concepts in Computer Science Springer (Ed.) (22/06/2006) 278-288
dc.identifierdoi:10.1007/11917496\_25
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109805
dc.subjectData Structures and Algorithms
dc.subjectG.2.2
dc.titleHomogeneity vs. Adjacency: generalising some graph decomposition algorithms
dc.typetext

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