Let G=(V,E) denote a weighted graph of n nodes and m edges, and let G|V′| denote the subgraph of G induced by a subset of nodes . The radius of G|V′| is the maximum length of a shortest path in G|V′| emanating from its center (i.e., a node of G|V′| of minimum eccentricity). In this paper, we focus on the problem of partitioning the nodes of G into exactly p non-empty subsets, so as to minimize the sum of the induced subgraph radii. We show that this problem - which is of significance in facility location applications - is NP-hard when p is part of the input, but for a fixed constant p > 2 it can be solved in O(n2p/p!) time. Moreover, for the notable case p=2, we present an efficient O(m n2+n3 logn) time algorithm.© 2006 Springer-Verlag Berlin/Heidelberg.
CITATION STYLE
Proietti, G., & Widmayer, P. (2006). Partitioning the nodes of a graph to minimize the sum of subgraph radii. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4288 LNCS, pp. 578–587). https://doi.org/10.1007/11940128_58
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