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  Multivariate Analysis of Orthogonal Range Searching and Graph Distances Parameterized by Treewidth

Bringmann, K., Husfeldt, T., & Magnusson, M. (2018). Multivariate Analysis of Orthogonal Range Searching and Graph Distances Parameterized by Treewidth. Retrieved from http://arxiv.org/abs/1805.07135.

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arXiv:1805.07135.pdf (Preprint), 561KB
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 Creators:
Bringmann, Karl1, Author           
Husfeldt, Thore2, Author
Magnusson, Måns2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Free keywords: Computer Science, Data Structures and Algorithms, cs.DS
 Abstract: We show that the eccentricities, diameter, radius, and Wiener index of an undirected $n$-vertex graph with nonnegative edge lengths can be computed in time $O(n\cdot \binom{k+\lceil\log n\rceil}{k} \cdot 2^k k^2 \log n)$, where $k$ is the treewidth of the graph. For every $\epsilon>0$, this bound is $n^{1+\epsilon}\exp O(k)$, which matches a hardness result of Abboud, Vassilevska Williams, and Wang (SODA 2015) and closes an open problem in the multivariate analysis of polynomial-time computation. To this end, we show that the analysis of an algorithm of Cabello and Knauer (Comp. Geom., 2009) in the regime of non-constant treewidth can be improved by revisiting the analysis of orthogonal range searching, improving bounds of the form $\log^d n$ to $\binom{d+\lceil\log n\rceil}{d}$, as originally observed by Monier (J. Alg. 1980). We also investigate the parameterization by vertex cover number.

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Language(s): eng - English
 Dates: 2018-05-182018
 Publication Status: Published online
 Pages: 18 p.
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 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1805.07135
URI: http://arxiv.org/abs/1805.07135
BibTex Citekey: Bringmann_arXiv1805.07135
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