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A Primal-Dual Algorithm for Online Non-uniform Facility Location

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Advances in Informatics (PCI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3746))

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Abstract

In the online version of Facility Location, the demand points arrive one at a time and must be irrevocably assigned to an open facility upon arrival. The objective is to minimize the sum of facility and assignment costs. We present a simple primal-dual deterministic algorithm for the general case of non-uniform facility costs. We prove that its competitive ratio is no greater than 4log(n+1) + 2, which is close to the lower bound of \(\Omega(\frac{log n}{log log n})\).

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References

  1. Anagnostopoulos, A., Bent, R., Upfal, E., Van Hentenryck, P.: A Simple and Deterministic Competitive Algorithm for Online Facility Location. Information and Computation 194, 175–202 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  2. Arya, V., Garg, N., Khandekar, R., Meyerson, A., Munagala, K., Pandit, V.: Local Search Heuristics for k-Median and Facility Location Problems. In: Proc. of STOC 2001, pp. 21–29 (2001)

    Google Scholar 

  3. Borodin, A., El-Yaniv, R.: Online Computation and Competitive Analysis. Cambridge University Press, Cambridge (1998)

    MATH  Google Scholar 

  4. Charikar, M., Guha, S.: Improved Combinatorial Algorithms for the Facility Location and k-Median Problems. In: Proc. of FOCS 1999, pp. 378–388 (1999)

    Google Scholar 

  5. Fotakis, D.: On the Competitive Ratio for Online Facility Location. In: Baeten, J.C.M., Lenstra, J.K., Parrow, J., Woeginger, G.J. (eds.) ICALP 2003. LNCS, vol. 2719, pp. 637–652. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Guha, S.: Approximation Algorithms for Facility Location Problems. PhD thesis, Stanford University (2000)

    Google Scholar 

  7. Guha, S., Khuller, S.: Greedy Strikes Back: Improved Facility Location Algorithms. In: Proc. of SODA 1998, pp. 649–657 (1998)

    Google Scholar 

  8. Jain, K., Mahdian, M., Saberi, A.: A New Greedy Approach for Facility Location Problems. In: Proc. of STOC 2002, pp. 731–740 (2002)

    Google Scholar 

  9. Jain, K., Vazirani, V.: Approximation Algorithms for Metric Facility Location and k-Median Problems Using the Primal-Dual Schema and Lagrangian Relaxation. J. of the ACM 48(2), 274–296 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  10. Mahdian, M., Ye, Y., Zhang, J.: Improved Approximation Algorithms for Metric Facility Location Problems. In: Jansen, K., Leonardi, S., Vazirani, V.V. (eds.) APPROX 2002. LNCS, vol. 2462, pp. 229–242. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  11. Meyerson, A.: Online Facility Location. In: Proc. of FOCS 2001, pp. 426–431 (2001)

    Google Scholar 

  12. Shmoys, D.: Approximation Algorithms for Facility Location Problems. In: Jansen, K., Khuller, S. (eds.) APPROX 2000. LNCS, vol. 1913, pp. 27–32. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  13. Shmoys, D., Tardos, E., Aardal, K.: Approximation Algorithms for Facility Location Problems. In: Proc. of STOC 1997, pp. 265–274 (1997)

    Google Scholar 

  14. Sviridenko, M.: An Improved Approximation Algorithm for the Metric Uncapacitated Facility Location Problem. In: Cook, W.J., Schulz, A.S. (eds.) IPCO 2002. LNCS, vol. 2337, pp. 240–257. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Vazirani, V.: Approximation Algorithms. Springer, Heidelberg (2001)

    Google Scholar 

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Fotakis, D. (2005). A Primal-Dual Algorithm for Online Non-uniform Facility Location. In: Bozanis, P., Houstis, E.N. (eds) Advances in Informatics. PCI 2005. Lecture Notes in Computer Science, vol 3746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573036_5

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  • DOI: https://doi.org/10.1007/11573036_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29673-7

  • Online ISBN: 978-3-540-32091-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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