Optimal covering designs: complexity results and new bounds

  • Authors:
  • Pilu Crescenzi;Federico Montecalvo;Gianluca Rossi

  • Affiliations:
  • Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Via C. Lombroso 6/17, 50134 Firenze, Italy;Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Via C. Lombroso 6/17, 50134 Firenze, Italy;Dipartimento di Matematica, Università degli Studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy

  • Venue:
  • Discrete Applied Mathematics - Fun with algorithms 2 (FUN 2001)
  • Year:
  • 2004

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Abstract

In this paper we investigate the problem of computing optimal lottery schemes. From a computational complexity point of view, we prove that the variation of this problem in which the sets to be covered are specified in the input is log |I|-approximable (where I denotes the collection of sets to be covered) and it cannot be approximated within a factor smaller than log |I|, unless P = NP. From a combinatorial point of view, we propose new constructions based on the combination of the partitioning technique and of known results regarding the construction of sets of coverings. By means of this combination we will be able to improve several upper bounds on the cardinality of optimal lottery schemes.