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Minimum Transversals in Posi-modular Systems

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Algorithms – ESA 2006 (ESA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4168))

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Abstract

Given a system (V,f,d) on a finite set V consisting of two set functions \(f:2^V\rightarrow{\mathbb R}\) and \(d:2^V\rightarrow{\mathbb R}\), we consider the problem of finding a set R ⊆ V of the minimum cardinality such that f(X)≥d(X) for all X ⊆ V − R, where the problem can be regarded as a natural generalization of the source location problems and the external network problems in (undirected) graphs and hypergraphs. We give a structural characterization of minimal deficient sets of (V,f,d) under certain conditions. We show that all such sets form a tree hypergraph if f is posi-modular and d is modulotone (i.e., each nonempty subset X of V has an element vX such that d(Y)≥d(X) for all subsets Y of X that contain v), and that conversely any tree hypergraph can be represented by minimal deficient sets of (V,f,d) for a posi-modular function f and a modulotone function d. By using this characterization, we present a polynomial-time algorithm if, in addition, f is submodular and d is given by either d(X)=max{p(v)|vX } for a function \(p:V \rightarrow{\mathbb R}_+\) or d(X)=max{r(v,w) |vX, wVX} for a function \(r:V^2\rightarrow{\mathbb R}_+\). Our result provides first polynomial-time algorithms for the source location problem in hypergraphs and the external network problems in graphs and hypergraphs. We also show that the problem is intractable, even if f is submodular and d0.

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© 2006 Springer-Verlag Berlin Heidelberg

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Sakashita, M., Makino, K., Nagamochi, H., Fujishige, S. (2006). Minimum Transversals in Posi-modular Systems. In: Azar, Y., Erlebach, T. (eds) Algorithms – ESA 2006. ESA 2006. Lecture Notes in Computer Science, vol 4168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11841036_52

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  • DOI: https://doi.org/10.1007/11841036_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38875-3

  • Online ISBN: 978-3-540-38876-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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