ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
advertisementadvertisement
Discrete Applied Mathematics
Volume 144, Issue 3, 15 December 2004, Pages 281-290
Fun with Algorithms 2
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (253 K)

  E-mail Article   
  Add to my Quick Links   
Bookmark and share in 2collab (opens in new window)
Request permission to reuse this article
  Cited By in Scopus (0)
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.dam.2003.11.006    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Elsevier B.V. All rights reserved.

Optimal covering designs: complexity results and new bounds*1

Pilu CrescenziE-mail The Corresponding Author, a, Federico MontecalvoE-mail The Corresponding Author, a and Gianluca RossiE-mail The Corresponding Author, b

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

Received 5 June 2002; 
Revised 16 January 2003; 
accepted 20 November 2003. 
Available online 18 May 2004.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

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 Image -approximable (where Image denotes the collection of sets to be covered) and it cannot be approximated within a factor smaller than Image , unless Image . 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.

Author Keywords: Approximation algorithm; Combinatorial design; Computational complexity; Covering design

Article Outline

1. Introduction
2. The complexity of MImage CImage CImage
3. Upper bounds for MImage CImage DImage
3.1. Upper bounds for C(v,5,5,4)
3.2. Upper bounds for C(v,6,6,4)
3.2.1. The construction
3.2.2. The new upper bound for C(34,6,6,4)
3.3. Upper bounds for C(v,7,7,5)
3.3.1. The construction
3.3.2. The new upper bound for C(38,7,7,5)
4. Conclusions and open questions
Acknowledgements
References

Discrete Applied Mathematics
Volume 144, Issue 3, 15 December 2004, Pages 281-290
Fun with Algorithms 2
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.