Improved Methods for Approximating Node Weighted Steiner Trees and Connected Dominating Sets

dc.contributor.authorGuha, Sudiptoen_US
dc.contributor.authorKhuller, Samiren_US
dc.date.accessioned2004-05-31T22:48:36Z
dc.date.available2004-05-31T22:48:36Z
dc.date.created1997-12en_US
dc.date.issued1998-10-15en_US
dc.description.abstractA greedy approximation algorithm based on ``spider decompositions'' was developed by Klein and Ravi for node weighted Steiner trees. This algorithm provides a worst case approximation ratio of $2 \ln k$, where $k$ is the number of terminals. However, the best known lower bound on the approximation ratio is $\ln k$, assuming that $NP \not\subseteq DTIME[n^{O(\log \log n)}]$, by a reduction from set cover. We show that for the unweighted case we can obtain an approximation factor of $\ln k$. For the weighted case we develop a new decomposition theorem, and generalize the notion of ``spiders'' to ``branch-spiders'', that are used to design a new algorithm with a worst case approximation factor of $1.5 \ln k$. This algorithm, although polynomial, is not very practical due to its high running time; since we need to repeatedly find many minimum weight matchings in each iteration. We are able to generalize the method to yield an approximation factor approaching $1.35 \ln k$. We also develop a simple greedy algorithm that is practical and has a worst case approximation factor of $1.6103 \ln k$. The techniques developed for the second algorithm imply a method of approximating node weighted network design problems defined by 0-1 proper functions. These new ideas also lead to improved approximation guarantees for the problem of finding a minimum node weighted connected dominating set. The previous best approximation guarantee for this problem was $3 \ln n$. By a direct application of the methods developed in this paper we are able to develop an algorithm with an approximation factor approaching $1.35 \ln n$. (Also cross-referenced as UMIACS-TR-97-80)en_US
dc.format.extent238697 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/924
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3849en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-97-80en_US
dc.titleImproved Methods for Approximating Node Weighted Steiner Trees and Connected Dominating Setsen_US
dc.typeTechnical Reporten_US

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