Improved Approximation for Orienting Mixed Graphs

  • Iftah Gamzu
  • Moti Medina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7355)

Abstract

An instance of the maximum mixed graph orientation problem consists of a mixed graph and a collection of source-target vertex pairs. The objective is to orient the undirected edges of the graph so as to maximize the number of pairs that admit a directed source-target path. This problem has recently arisen in the study of biological networks, and it also has applications in communication networks.

In this paper, we identify an interesting local-to-global orientation property. This property enables us to modify the best known algorithms for maximum mixed graph orientation and some of its special structured instances, due to Elberfeld et al. (CPM ’11), and obtain improved approximation ratios. We further proceed by developing an algorithm that achieves an even better approximation guarantee for the general setting of the problem. Finally, we study several well-motivated variants of this orientation problem.

Keywords

Short Path Local Neighborhood Improve Approximation Underlying Graph Undirected Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Iftah Gamzu
    • 1
    • 2
  • Moti Medina
    • 3
  1. 1.Computer Science DivisionThe Open Univ.Israel
  2. 2.Blavatnik School of Computer ScienceTel-Aviv Univ.Israel
  3. 3.School of Electrical EngineeringTel-Aviv Univ.Israel

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