Constructing Incremental Sequences in Graphs
KLASING, Ralf
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
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Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
KLASING, Ralf
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
< Réduire
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
Langue
en
Article de revue
Ce document a été publié dans
Algorithmic Operations Research. 2006, vol. 1, n° 2, p. 1--7
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Résumé en anglais
Given a weighted graph G=(V,E,w), we investigate the problem of constructing a sequence of n=|V| subsets of vertices M_1,...,M_n (called groups) with small diameters, where the diameter of a group is calculated using ...Lire la suite >
Given a weighted graph G=(V,E,w), we investigate the problem of constructing a sequence of n=|V| subsets of vertices M_1,...,M_n (called groups) with small diameters, where the diameter of a group is calculated using distances in G. The constraint on these n groups is that they must be incremental: $M_1\subsetM_2 \subset...\subsetM_n=V$. The cost of a sequence is the maximum ratio between the diameter of each group $M_i$ and the diameter of a group $N_i^*$ with $i$ vertices and minimum diameter: $\max_2 \leqi \leqn \left \fracD(M_i)D(N_i^*) \right$. This quantity captures the impact of the incremental constraint on the diameters of the groups in a sequence. We give general bounds on the value of this ratio and we prove that the problem of constructing an optimal incremental sequence cannot be solved approximately in polynomial time with an approximation ratio less than 2 unless $P = NP$. Finally, we give a 4-approximation algorithm and we show that the analysis of our algorithm is tight.< Réduire
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