Abstract
This paper studies an incremental version of the k-center problem with centers constrained to lie on boundary of a convex polygon. In the incremental k-center problem we considered, we are given a set of n demand points inside a convex polygon, facilities are constrained to lie on its boundary. Our algorithm produces an incremental sequence of facility sets \(B_{1}\subseteq B_{2}\subseteq \cdots \subseteq B_{n}\), where each \(B_{k}\) contains k facilities. Such an algorithm is called \(\alpha \)-competitive, if for any k, the maximum of the ratio between the value of solution \(B_{k}\) and the value of an optimal k-center solution is no more than \(\alpha \). We present a polynomial time incremental algorithm with a competitive ratio \(\frac{3\sqrt{3}}{2}\) and we also prove a lower bound of 2.
Similar content being viewed by others
References
Agarwal PK, Sharir M (1998) Efficient algorithms for geometric optimization. ACM Comput Surv 30:412–458
Bose P, Toussaint G (1996) Computing the constrained Euclidean, geodesic and link center of a simple polygon with applications, Proceedings of pacific graphics, International pp 102–112
Charikar M, Chekuri C, Feder T, Motwani R (1997) Incremental clustering and dynamic information retrieval, In: Proceedings 29th ACM Symposium on theory of computing (STOC97) pp 626–635
Charikar M, Panigrahy R (2004) Clustering to minimize the sum of cluster diameters. J Comput Syst Sci 68(2):417–441
Chrobak M, Hurand M (2011) Better bounds for incremental medians. Theor Comput Sci 412:594–601
Chrobak M, Kenyon C, Noga J, Young NE (2008) Incremental medians via online bidding. Algorithmica 50:455–478
Csirik J, Epstein L, Imreh LC, Levin A (2013) Online clustering with variable sized clusters. Algorithmica 65(2):251–274
Das GK, Roy S, Das S, Nandy SC (2008) Variations of base station placement problem on the boundary of a convex region. Int J Found Comput Sci 19(2):405–427
Dasgupta S, Long P (2005) Performance guarantees for hierarchical clustering. J Comput Syst Sci 70:555–569
Ehmsen MR, Larsen KS (2013) Better bounds on online unit clustering. Theor Comput Sci 500:1–24
Feder T and Greene D H (1988) Optimal algorithms for approximate clustering, In: Proceedings of the 20th annual ACM symposium on theory of computing pp 434-444
Fotakis D (2008) On the competitive ratio for online facility location. Algorithmica 50(1):1–57
Fotakis D, Koutris P (2014) Online sum-radii clustering. Theor Comput Sci 540(26):27–39
González TF (1985) Clustering to minimize the maximum intercluster distance. Theor Comput Sci 38:293–306
Halperin D, Sharir M, Goldberg K (2002) The 2-center problem with obstacles. J Algorithms 42:109–134
Hurtado F, Sacriscan V, Toussaint G (2000) Facility location problems with constraints. Stud Locat Anal 15:17–35
Hartline J, Sharp A (2006) An incremental model for combinatorial minimization, technical report. Available at http://ecommons.cornell.edu/bitstream/1813/5732/1/TR2006-2034.pdf. Accessed 5 July 2006
Irani S, Karlin A (1996) Online computation. In: Hochbaum DS (ed) Approximation algorithms for NP-hard problems. PWS, Boston, MA, pp 521–564
Lin G, Nagarajan C, Rajaraman R and Williamson D P (2006) A general approach for incremental approximation and hierarchical clustering, In: Proceedings of the 17th annual ACM-SIAM symposium on discrete algorithms. ACM/SIAM, New York
Mettu RR, Plaxton CG (2003) The online median problem. SIAM J Comput 32:816–832
Meyerson A (2001) Online facility location, In: Proceedings of the 42nd IEEE symposium on foundations of computer science (FOCS 01) pp 426–431
Roy S, Bardhan D, Das S (2008) Base station placement on boundary of a convex polygon. J Parallel Distrib Comput 68:265–273
Plaxton C G (2003) Approximation algorithms for hierarchical location problems, In: Proceedings of the 35th annual ACM symposium on theory of Computing. ACM Press, New York pp 40–49
Sharp A (2007) Incremental algorithms: solving problems in a changing world, Ph.D. Thesis, Cornell University
Acknowledgments
We would like to acknowledge the support from the NSF of China (No. 71071123, No. 60921003) and the PCSIRT of China (No. 1173).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Du, H., Xu, Y. & Zhu, B. An incremental version of the k-center problem on boundary of a convex polygon. J Comb Optim 30, 1219–1227 (2015). https://doi.org/10.1007/s10878-015-9933-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10878-015-9933-3