On the low-dimensional Steiner minimum tree problem in Hamming metric

  • Authors:
  • Ernst Althaus;Joschka Kupilas;Rouven Naujoks

  • Affiliations:
  • Johannes-Gutenberg-Universität, Institut für Informatik, Staudingerweg 9, 55128 Mainz, Germany;Max-Planck-Institut für Informatik, Campus E 1 4, 66123 Saarbrücken, Germany;Max-Planck-Institut für Informatik, Campus E 1 4, 66123 Saarbrücken, Germany

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2013

Quantified Score

Hi-index 5.23

Visualization

Abstract

While it is known that the d-dimensional Steiner minimum tree problem in Hamming metric is NP-complete if d is part of the input, it is an open question whether this also holds for fixed dimensions. In this paper, this question is answered by showing that the Steiner minimum tree problem in Hamming metric is already NP-complete in 3 dimensions. Furthermore, we show that, the minimum spanning tree gives a 2-2d approximation on the Steiner minimum tree for d=2. Using this result, we analyse the so-called k-LCA and A"k approximation algorithms and show improved approximation guarantees for low dimensions.