Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4855))

Abstract

In this paper, we consider a generalized version of the k-median problem in metric spaces, called the priority k-median problem in which demands and facilities have priorities associated with them and a demand can only be assigned to a facility that has the same priority or better. We show that there exists a polynomial time constant factor approximation algorithm for this problem when there are two priorities. We also show that the natural integer program for the problem has an arbitrarily large integrality gap when there are four or more priorities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Arora, S., Raghavan, P., Rao, S.: Polynomial time approximation schemes for the Euclidean k-median problem. In: Proceedings of the 30th annual ACM Symposium on Theory of Computing (1998)

    Google Scholar 

  2. Arya, V., Garg, N., Khandekar, R., Pandit, V., Meyerson, A., Munagala, K.: Local search heuristics for k-median and facility location problems. In: Proceedings of the 33rd Annual ACM Symposium on Theory of Computing (2001)

    Google Scholar 

  3. Charikar, M., Guha, S.: Improved combinatorial algorithms for the facility location and k-median problems. In: Proceedings of the 40th Annual IEEE Symposium on Foundations of Computer Science (1999)

    Google Scholar 

  4. Charikar, M., Guha, S., Tardos, E., Shmoys, D.: A constant-factor approximation algorithm for the k-median problem. In: Proceedings of the 31st Annual ACM Symposium on Theory of Computing (1999)

    Google Scholar 

  5. Charikar, M., Naor, J.S., Scheiber, B.: Resource optimization in QoS multicast routing of real-time multimedia. IEEE Transactions on Networking 12(2), 340–348 (2004)

    Article  Google Scholar 

  6. Chudak, F.: Improved approximation algorithms for uncapacitated facility location problem. In: Proceedings of the 6th Conference on Integer Programming and Combinatorial Optimization (1998)

    Google Scholar 

  7. Chuzhoy, J., Gupta, A., Naor, J., Sinha, A.: On the approximability of some network design problems. In: Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms, pp. 943–951 (2005)

    Google Scholar 

  8. Hochbaum, D.S.: Approximation Algorithms for NP-hard Problems. PWS Publishing (1996)

    Google Scholar 

  9. Jain, K., Vazirani, V.: Primal-dual approximation algorithms for the metric facility location and k-median problems. In: Proceedings of the 40th Annual IEEE Symposium on Foundations of Computer Science (1999)

    Google Scholar 

  10. Kolliopoulos, S., Rao, S.: A nearly linear time approximation scheme for the Euclidean k-medians problem. In: NeÅ¡etÅ™il, J. (ed.) ESA 1999. LNCS, vol. 1643, Springer, Heidelberg (1999)

    Google Scholar 

  11. Korupolu, M., Plaxton, C., Rajaraman, R.: Analysis of a local search heuristic for facility location problems. In: Proceedings of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms (1998)

    Google Scholar 

  12. Kumar, A., Sabharwal, Y.: The Priority k-median Problem. Full version available, www.cse.iitd.ernet.in/~yogish

  13. Kumar, A., Sabharwal, Y., Sen, S.: Linear time approximation algorithms for clustering problems in any dimensions. In: Proceedings of the 32nd International Colloquium on Automata, Languages and Programming (2005)

    Google Scholar 

  14. Lin, J.H., Vitter, J.S.: ε-approximations with minimum packing constraint violation. In: Proceedings of the 24th Annual ACM Symposium on Theory of Computing (1992)

    Google Scholar 

  15. Love, R.F., Morris, J.G., Wesolowsky, G.O.: Facilities Location: Models and Methods. North-Holland, Amsterdam (1998)

    Google Scholar 

  16. Mirchandani, P., Francis, R.: Discrete Location Theory. Wiley, New York (1990)

    MATH  Google Scholar 

  17. Shmoys, D.B., Swamy, C., Levi, R.: Facility location with service installation costs. In: Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms, Philadelphia, PA, USA, pp. 1088–1097 (2004)

    Google Scholar 

  18. Shmoys, D., Tardos, E., Aardal, K.: Approximation algorithms for facility location problems. In: Proceedings of the 29th Annual ACM Symposium on Theory of Computing (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

V. Arvind Sanjiva Prasad

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kumar, A., Sabharwal, Y. (2007). The Priority k-Median Problem. In: Arvind, V., Prasad, S. (eds) FSTTCS 2007: Foundations of Software Technology and Theoretical Computer Science. FSTTCS 2007. Lecture Notes in Computer Science, vol 4855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77050-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77050-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77049-7

  • Online ISBN: 978-3-540-77050-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics