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Spotting Trees with Few Leaves

Author

  • Andreas Björklund
  • Vikram Kamat
  • Lukasz Kowalik
  • Meirav Zehavi

Editor

  • Magnus. M. Haldorsson
  • Kazou Iwama
  • Naoki Kobayashi
  • Bettina Speckmann

Summary, in English

We show two results related to the Hamiltonicity and k -Path algorithms in undirected graphs by Björklund [FOCS’10], and Björklund et al., [arXiv’10]. First, we demonstrate that the technique used can be generalized to finding some k-vertex tree with l leaves in an n-vertex undirected graph in O∗(1.657^k2^{l/2}) time. It can be applied as a subroutine to solve the k -Internal Spanning Tree (k-IST) problem in O∗(min(3.455^k,1.946^n)) time using polynomial space, improving upon previous algorithms for this problem. In particular, for the first time, we break the natural barrier of O∗(2^n). Second, we show that the iterated random bipartition employed by the algorithm can be improved whenever the host graph admits a vertex coloring with few colors; it can be an ordinary proper vertex coloring, a fractional vertex coloring, or a vector coloring. In effect, we show improved bounds for k-Path and Hamiltonicity in any graph of maximum degree Δ=4,…,12 or with vector chromatic number at most 8.

Publishing year

2015

Language

English

Pages

243-255

Publication/Series

Lecture Notes in Computer Science/Automata, Languages, and Programming

Volume

9134

Document type

Conference paper

Publisher

Springer

Topic

  • Computer Science

Conference name

International Colloquium on Automata, Languages, and Programming

Conference date

2015-07-08

Status

Published

Project

  • Exact algorithms

Research group

  • Algorithms

ISBN/ISSN/Other

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-662-47672-7