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New Upper Bounds on Continuous Tree Edge-Partition Problem

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5034))

Abstract

We consider continuous tree edge-partition problem on a edge-weighted tree network. A continuous p-edge-partition of a tree is to divide it into p subtrees by selecting p − 1 cut points along the edges of the underlying tree. The objective is to maximize (minimize) the minimum (maximum) length of the subtrees. We present an O(nlog2 n)-time algorithm for the max-min problem which is based on parametric search technique [7] and an efficient solution to the ratio search problem. Similar algorithmic technique, when applied to the min-max problem, results in an O(nh T logn)-time algorithm where h T is the height of the underlying tree network. The previous results for both max-min and min-max problems are O(n 2) [5].

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References

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Rudolf Fleischer Jinhui Xu

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© 2008 Springer-Verlag Berlin Heidelberg

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Benkoczi, R., Bhattacharya, B., Shi, Q. (2008). New Upper Bounds on Continuous Tree Edge-Partition Problem. In: Fleischer, R., Xu, J. (eds) Algorithmic Aspects in Information and Management. AAIM 2008. Lecture Notes in Computer Science, vol 5034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68880-8_6

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  • DOI: https://doi.org/10.1007/978-3-540-68880-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68865-5

  • Online ISBN: 978-3-540-68880-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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