Network Design via Core Detouring for Problems without a Core

Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nodes to a random subset of them. In a recent work [Eisenbrand,Grandoni,Rothvoß,Schäfer-SODA’08], a new technique, core-detouring, is described to bound the mentioned connection cost. This is achieved by defining a sub-optimal connection scheme, where paths are detoured through a proper connected subgraph (core). The cost of the detoured paths is bounded against the cost of the core and of the distances from the sources to the core. The analysis then boils down to proving the existence of a convenient core. For some problems, such as connected facility location and single-sink rent-or-buy, the choice of the core is obvious (i.e., the Steiner tree in the optimum solution). Other, more complex network design problems do not exhibit any such core. In this paper we show that core-detouring can be nonetheless su...

• Type: Conference
• Year: 2010
• Where: ICALP
• Authors: Fabrizio Grandoni, Thomas Rothvoß
• Keywords: Approximation Algorithms, Convenient Core, ICALP 2010, Network Design, Programming Languages