Skip to main content
Log in

Online k-color spanning disk problems

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

Abstract

Inspired by the applications in on-demand manufacturing, we introduce the online k-color spanning disk problem, the first online model for color spanning problems to the best of our knowledge. Given a set P of n colored points in a plane, with each color chosen from a set C of \(m \le n\) colors, the online k-color spanning disk problem determines the location of the center that minimizes the accumulated radius of the minimum spanning disks for a sequence of color sets, denoted by \(\delta =\langle C_1,C_2,\ldots ,C_T\rangle \), \(C_t\subseteq C\), \(|C_t| \ge k\), \(t\in \{1, 2, \ldots , T\}\), as they are presented online. Here, a minimum spanning disk for a color set means a disk contains at least one point of each color. We construct a special instance to establish a lower bound on the performance of any online algorithms. Then, an \(O(nm\log n)\)-time Voronoi-diagram-based algorithm is designed such that its competitive ratio matches the problem’s lower bound. This implies our algorithm is theoretically the best possible in terms of the competitive ratio. We also introduce and study a variant, named the online balanced k-color spanning disk problem, for which a non-trivial lower bound and a best possible algorithm are presented.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

My manuscript has no associated data.

References

  • Abellanas M, Hurtado F, Icking C, Klein R, Langetepe E, Ma Lihong, Palop B, Sacristán V (2001) Smallest color-spanning objects. In: European symposium on algorithms, pages 278–289

  • Bereg Sergey, Ma Feifei, Wang Wencheng, Zhang Jian, Zhu Binhai (2019) On some matching problems under the color-spanning model. Theoret Comput Sci 786:26–31

    Article  MathSciNet  MATH  Google Scholar 

  • Das Sandip, Goswami Partha P, Nandy Subhas C (2009) Smallest color-spanning object revisited. Int J Comput Geometry Appl 19(05):457–478

    Article  MathSciNet  MATH  Google Scholar 

  • Fleischer R, Xu X (2010) Computing minimum diameter color-spanning sets. In: international workshop on frontiers in algorithmics, pages 285–292

  • Fleischer Rudolf, Xiaoming Xu (2011) Computing minimum diameter color-spanning sets is hard. Inf Process Lett 111(21–22):1054–1056

    Article  MathSciNet  MATH  Google Scholar 

  • Fortune S (1986) A sweepline algorithm for voronoi diagrams. In: Proceedings of the second annual symposium on computational geometry, pages 313–322

  • Wenqi Ju, Fan Chenglin, Luo Jun, Zhu Binhai, Daescu Ovidiu (2013) On some geometric problems of color-spanning sets. J Comb Optim 26(2):266–283

    Article  MathSciNet  MATH  Google Scholar 

  • Kazemi Mohammad Reza, Mohades Ali, Khanteimouri Payam (2018) Approximation algorithms for color spanning diameter. Inf Process Lett 135:53–56

    Article  MathSciNet  MATH  Google Scholar 

  • Khanteimouri P, Mohades A, Abam Mohammad A, Kazemi Mohammad R(2013) Computing the smallest color-spanning axis-parallel square. In: International symposium on algorithms and computation, pages 634–643

  • Kirkpatrick David (1983) Optimal search in planar subdivisions. SIAM J Comput 12(1):28–35

    Article  MathSciNet  MATH  Google Scholar 

  • Li Chao, Fan Chenglin, Luo Jun, Zhong Farong, Zhu Binhai (2015) Expected computations on color spanning sets. J Comb Optim 29(3):589–604

    Article  MathSciNet  MATH  Google Scholar 

  • Mantas I, Papadopoulou E, Sacristán V, Silveira Rodrigo I (2021) Farthest color voronoi diagrams: complexity and algorithms. In: Latin American symposium on theoretical informatics, pages 283–295

  • Pruente Jonas (2019) Minimum diameter color-spanning sets revisited. Discret Optim 34:100550

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang D, Chee Yeow M, Mondal A, Tung Anthony KH, Kitsuregawa M(2009) Keyword search in spatial databases: Towards searching by document. In: IEEE 25th international conference on data engineering, pages 688–699

Download references

Acknowledgements

The authors are grateful to two reviewers for their careful reading and valuable suggestions to improve this manuscript.

Funding

YW and YX are supported by the National Natural Science Foundation of China (NSFC) (Grant No. 71832001). HZ is partially supported by the National Natural Science Foundation of China (NSFC) (Nos. 72071157, 72192834). WT is supported by the Office of Research, Georgia Southern University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huili Zhang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Xu, Y., Zhang, H. et al. Online k-color spanning disk problems. J Comb Optim 46, 15 (2023). https://doi.org/10.1007/s10878-023-01080-z

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10878-023-01080-z

Keywords

Navigation