84 research outputs found

    Tree decomposition of graphs

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    On Tree-Partition-Width

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    A \emph{tree-partition} of a graph GG is a proper partition of its vertex set into `bags', such that identifying the vertices in each bag produces a forest. The \emph{tree-partition-width} of GG is the minimum number of vertices in a bag in a tree-partition of GG. An anonymous referee of the paper by Ding and Oporowski [\emph{J. Graph Theory}, 1995] proved that every graph with tree-width k≄3k\geq3 and maximum degree Δ≄1\Delta\geq1 has tree-partition-width at most 24kΔ24k\Delta. We prove that this bound is within a constant factor of optimal. In particular, for all k≄3k\geq3 and for all sufficiently large Δ\Delta, we construct a graph with tree-width kk, maximum degree Δ\Delta, and tree-partition-width at least (\eighth-\epsilon)k\Delta. Moreover, we slightly improve the upper bound to 5/2(k+1)(7/2Δ−1){5/2}(k+1)({7/2}\Delta-1) without the restriction that k≄3k\geq3

    Bad News for Chordal Partitions

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    Reed and Seymour [1998] asked whether every graph has a partition into induced connected non-empty bipartite subgraphs such that the quotient graph is chordal. If true, this would have significant ramifications for Hadwiger's Conjecture. We prove that the answer is `no'. In fact, we show that the answer is still `no' for several relaxations of the question

    Communication tree problems

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    In this paper, we consider random communication requirements and several cost measures for a particular model of tree routing on a complete network. First we show that a random tree does not give any approximation. Then give approximation algorithms for the case for two random models of requirements.Postprint (published version
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