Lhouari Nourine
Blaise Pascal University
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Featured researches published by Lhouari Nourine.
Discrete Applied Mathematics | 2009
Alain Gély; Lhouari Nourine; Bachir Sadi
We present a general framework to study enumeration algorithms for maximal cliques and maximal bicliques of a graph. Given a graph G, we introduce the notion of the transition graph T(G) whose vertices are maximal cliques of G and arcs are transitions between cliques. We show that T(G) is a strongly connected graph and characterize a rooted cover tree of T(G) which appears implicitly in [D.S. Johnson, M. Yannakakis, C.H. Papadimitriou, On generating all maximal independent sets, Information Processing Letters 27 (1988) 119-123; S. Tsukiyama, M. Ide, M. Aiyoshi, I. Shirawaka, A new algorithm for generating all the independent sets, SIAM Journal on Computing 6 (1977) 505-517]. When G is a bipartite graph, we show that the Galois lattice of G is a partial graph of T(G) and we deduce that algorithms based on the Galois lattice are a particular search of T(G). Moreover, we show that algorithms in [G. Alexe, S. Alexe, Y. Crama, S. Foldes, P.L. Hammer, B. Simeone, Consensus algorithms for the generation of all maximal bicliques, Discrete Applied Mathematics 145 (1) (2004) 11-21; L. Nourine, O. Raynaud, A fast algorithm for building lattices, Information Processing Letters 71 (1999) 199-204] generate maximal bicliques of a bipartite graph in O(n^2) per maximal biclique, where n is the number of vertices in G. Finally, we show that under some specific numbering, the transition graph T(G) has a hamiltonian path for chordal and comparability graphs.
SIAM Journal on Discrete Mathematics | 2014
Mamadou Moustapha Kanté; Vincent Limouzy; Arnaud Mary; Lhouari Nourine
A dominating set
Journal of Experimental and Theoretical Artificial Intelligence | 2002
Lhouari Nourine; Olivier Raynaud
D
fundamentals of computation theory | 2011
Mamadou Moustapha Kanté; Vincent Limouzy; Arnaud Mary; Lhouari Nourine
in a graph is a subset of its vertex set such that each vertex is either in
international conference on formal concept analysis | 2009
Raoul Medina; Lhouari Nourine
D
international conference on service oriented computing | 2008
Ramy Ragab Hassen; Lhouari Nourine; Farouk Toumani
or has a neighbour in
international conference on formal concept analysis | 2005
Alain Gély; Raoul Medina; Lhouari Nourine; Yoan Renaud
D
Theoretical Computer Science | 1996
Michel Habib; Lhouari Nourine
. In this paper, we are interested in the enumeration of (inclusion-wise) minimal dominating sets in graphs, called the Dom-Enum problem. It is well known that this problem can be polynomially reduced to the Trans-Enum problem in hypergraphs, i.e., the problem of enumerating all minimal transversals in a hypergraph. Firstly we show that the Trans-Enum problem can be polynomially reduced to the Dom-Enum problem. As a consequence there exists an output-polynomial time algorithm for the Trans-Enum problem if and only if there exists one for the Dom-Enum problem. Secondly, we study the Dom-Enum problem in some graph classes. We give an output-polynomial time algorithm for the Dom-Enum problem in split graphs, and introduce the completion of a graph to obtain an output-polynomial time algorithm for the Dom-Enum problem in
international symposium on algorithms and computation | 2012
Mamadou Moustapha Kanté; Vincent Limouzy; Arnaud Mary; Lhouari Nourine
P_6
european conference on artificial intelligence | 2012
Lhouari Nourine; Jean-Marc Petit
-free chordal graphs, a proper superclass of split graphs. Finally, we investigate the complexity of the enumeration of (inclusion-wise) minimal connected dominating sets and minimal total dominating sets of graphs. We show that there exists an output-polynomial time algorithm for the Dom-Enum problem (or equivalently Trans-Enum problem) if and only if there exists one for the following enumeration problems: minimal total dominating sets, minimal total dominating sets in split graphs, minimal connected dominating sets in split graphs, minimal dominating sets in co-bipartite graphs.