Efficient Approximation of Combinatorial Problems by Moderately Exponential Algorithms

  • Authors:
  • Nicolas Bourgeois;Bruno Escoffier;Vangelis Th. Paschos

  • Affiliations:
  • LAMSADE, CNRS FRE 3234 and Université Paris-Dauphine, France;LAMSADE, CNRS FRE 3234 and Université Paris-Dauphine, France;LAMSADE, CNRS FRE 3234 and Université Paris-Dauphine, France

  • Venue:
  • WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
  • Year:
  • 2009

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Abstract

We design approximation algorithms for several NP-hard combinatorial problems achieving ratios that cannot be achieved in polynomial time (unless a very unlikely complexity conjecture is confirmed) with worst-case complexity much lower (though super-polynomial) than that of an exact computation. We study in particular max independent set , min vertex cover and min set cover and then extend our results to max clique , max bipartite subgraph and max set packing .