The complexity and approximability of minimum contamination problems

  • Authors:
  • Angsheng Li;Linqing Tang

  • Affiliations:
  • State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China;Graduate University of Chinese Academy of Sciences, Beijing, China

  • Venue:
  • TAMC'11 Proceedings of the 8th annual conference on Theory and applications of models of computation
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, we investigate the complexity and approximability of the Minimum Contamination Problems, which are derived from epidemic spreading areas and have been extensively studied recently. We show that both the Minimum Average Contamination Problem and the Minimum Worst Contamination Problem are NP-hard problems even on restrict cases. For any ε 0, we give (1 + ε,O(1+ε/εlog n))-bicriteria approximation algorithm for the Minimum Average Contamination Problem. Moreover, we show that theMinimumAverage Contamination Problem is NP-hard to be approximated within 5/3- ε and the Minimum Worst Contamination Problem is NP-hard to be approximated within 2 - ε, for any ε 0, giving the first hardness results of approximation of constant ratios to the problems.