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Parameterized Approximation Algorithms for Some Location Problems in Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10628))

Abstract

We develop efficient parameterized, with additive error, approximation algorithms for the (Connected) r-Domination problem and the (Connected) p-Center problem for unweighted and undirected graphs. Given a graph G, we show how to construct a (connected) \(\big (r + \mathcal {O}(\mu ) \big )\)-dominating set D with \(|D| \le |D^*|\) efficiently. Here, \(D^*\) is a minimum (connected) r-dominating set of G and \(\mu \) is our graph parameter, which is the tree-breadth or the cluster diameter in a layering partition of G. Additionally, we show that a \(+ \mathcal {O}(\mu )\)-approximation for the (Connected) p-Center problem on G can be computed in polynomial time. Our interest in these parameters stems from the fact that in many real-world networks, including Internet application networks, web networks, collaboration networks, social networks, biological networks, and others, and in many structured classes of graphs these parameters are small constants.

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Correspondence to Arne Leitert .

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Leitert, A., Dragan, F.F. (2017). Parameterized Approximation Algorithms for Some Location Problems in Graphs. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10628. Springer, Cham. https://doi.org/10.1007/978-3-319-71147-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-71147-8_24

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