Abstract
In the Steiner Network problem we are given a graph G with edge-costs and connectivity requirements r uv between node pairs u,v. The goal is to find a minimum-cost subgraph H of G that contains r uv edge-disjoint paths for all u,v ∈ V. In Prize-Collecting Steiner Network problems we do not need to satisfy all requirements, but are given a penalty function for violating the connectivity requirements, and the goal is to find a subgraph H that minimizes the cost plus the penalty. The case when r uv ∈ {0,1} is the classic Prize-Collecting Steiner Forest problem.
In this paper we present a novel linear programming relaxation for the Prize-Collecting Steiner Network problem, and by rounding it, obtain the first constant-factor approximation algorithm for submodular and monotone non-decreasing penalty functions. In particular, our setting includes all-or-nothing penalty functions, which charge the penalty even if the connectivity requirement is slightly violated; this resolves an open question posed in [SSW07]. We further generalize our results for element-connectivity and node-connectivity.
Part of this work was done while the authors were meeting at DIMACS. We would like to thank DIMACS for hospitality.
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Hajiaghayi, M., Khandekar, R., Kortsarz, G., Nutov, Z. (2010). Prize-Collecting Steiner Network Problems. In: Eisenbrand, F., Shepherd, F.B. (eds) Integer Programming and Combinatorial Optimization. IPCO 2010. Lecture Notes in Computer Science, vol 6080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13036-6_6
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DOI: https://doi.org/10.1007/978-3-642-13036-6_6
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