Skip to main content

Parameterized Complexity of Conflict-Free Set Cover

  • Conference paper
  • First Online:
Computer Science – Theory and Applications (CSR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11532))

Included in the following conference series:

Abstract

Set Cover is one of the well-known classical NP-hard problems. Following some recent trends, we study the conflict-free version of the Set Cover problem. Here we have a universe \({\mathcal U}\), a family \({\mathcal F}\) of subsets of \({\mathcal U}\) and a graph \(G_{{\mathcal F}}\) on the vertex set \({\mathcal F}\) and we look for a subfamily \({\mathcal F}' \subseteq {\mathcal F}\) of minimum size that covers \({\mathcal U}\) and also forms an independent set in \(G_{{\mathcal F}}\). Here we initiate a systematic study of the problem in parameterized complexity by restricting the focus to the variants where Set Cover is fixed-parameter tractable (FPT). We give upper bounds and lower bounds for conflict-free version of the Set Cover with and without duplicate sets along with restrictions to the graph classes of \(G_{{\mathcal F}}\).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    \({\mathcal O}^*\) notation ignores polynomial factors of input.

  2. 2.

    Proof in full version.

  3. 3.

    Proof in full version.

  4. 4.

    Proof in full version.

References

  1. Agrawal, A., Jain, P., Kanesh, L., Lokshtanov, D., Saurabh, S.: Conflict free feedback vertex set: a parameterized dichotomy. In: LIPIcs-Leibniz International Proceedings in Informatics, vol. 117. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2018)

    Google Scholar 

  2. Arkin, E.M., et al.: Conflict-free covering. In: Conference on Computational Geometry, p. 17 (2015)

    Google Scholar 

  3. Banik, A., Panolan, F., Raman, V., Sahlot, V., Saurabh, S.: Parameterized complexity of geometric covering problems having conflicts. Algorithms and Data Structures. LNCS, vol. 10389, pp. 61–72. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62127-2_6

    Chapter  Google Scholar 

  4. Cygan, M., et al.: On problems as hard as CNF-SAT. ACM Trans. Algorithms (TALG) 12(3), 41 (2016)

    MathSciNet  MATH  Google Scholar 

  5. Cygan, M., et al.: Parameterized Algorithms. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21275-3

    Book  MATH  Google Scholar 

  6. Darmann, A., Pferschy, U., Schauer, J., Woeginger, G.J.: Paths, trees and matchings under disjunctive constraints. Discrete Appl. Math. 159(16), 1726–1735 (2011)

    Article  MathSciNet  Google Scholar 

  7. Diestel, R.: Graph Theory. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  8. Farber, M.: On diameters and radii of bridged graphs. Discrete Math. 73(3), 249–260 (1989)

    Article  MathSciNet  Google Scholar 

  9. Fomin, F.V., Lokshtanov, D., Panolan, F., Saurabh, S.: Efficient computation of representative families with applications in parameterized and exact algorithms. J. ACM (JACM) 63(4), 29 (2016)

    Article  MathSciNet  Google Scholar 

  10. Golumbic, M.C.: Algorithmic Graph Theory and Perfect Graphs, vol. 57. Elsevier, Amsterdam (2004)

    MATH  Google Scholar 

  11. Impagliazzo, R., Paturi, R., Zane, F.: Which problems have strongly exponential complexity? J. Comput. Syst. Sci. 63(4), 512–530 (2001)

    Article  MathSciNet  Google Scholar 

  12. Jain, P., Kanesh, L., Misra, P.: Conflict free version of covering problems on graphs: classical and parameterized. In: Fomin, F.V., Podolskii, V.V. (eds.) CSR 2018. LNCS, vol. 10846, pp. 194–206. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-90530-3_17

    Chapter  MATH  Google Scholar 

  13. Kann, V.: Polynomially bounded minimization problems which are hard to approximate. In: Lingas, A., Karlsson, R., Carlsson, S. (eds.) ICALP 1993. LNCS, vol. 700, pp. 52–63. Springer, Heidelberg (1993). https://doi.org/10.1007/3-540-56939-1_61

    Chapter  Google Scholar 

  14. Lin, B.: The parameterized complexity of the k-biclique problem. J. ACM (JACM) 65(5), 34 (2018)

    Article  MathSciNet  Google Scholar 

  15. Lokshtanov, D., Marx, D., Saurabh, S.: Slightly superexponential parameterized problems. In: Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 760–776. Society for Industrial and Applied Mathematics (2011)

    Google Scholar 

  16. Lokshtanov, D., Misra, P., Panolan, F., Saurabh, S.: Deterministic truncation of linear matroids. ACM Trans. Algorithms (TALG) 14(2), 14 (2018)

    MathSciNet  MATH  Google Scholar 

  17. Lokshtanov, D., Panolan, F., Saurabh, S., Sharma, R., Zehavi, M.: Covering small independent sets and separators with applications to parameterized algorithms. In: Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 2785–2800. Society for Industrial and Applied Mathematics (2018)

    Google Scholar 

  18. Marx, D.: A parameterized view on matroid optimization problems. Theor. Comput. Sci. 410(44), 4471–4479 (2009)

    Article  MathSciNet  Google Scholar 

  19. Marx, D., Salmasi, A., Sidiropoulos, A.: Constant-factor approximations for asymmetric tsp on nearly-embeddable graphs. In: LIPIcs-Leibniz International Proceedings in Informatics, vol. 60. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2016)

    Google Scholar 

  20. Pferschy, U., Schauer, J.: The maximum flow problem with conflict and forcing conditions. In: Pahl, J., Reiners, T., Voß, S. (eds.) INOC 2011. LNCS, vol. 6701, pp. 289–294. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21527-8_34

    Chapter  Google Scholar 

  21. Raman, V., Saurabh, S.: Short cycles make w-hard problems hard: FPT algorithms for w-hard problems in graphs with no short cycles. Algorithmica 52(2), 203–225 (2008)

    Article  MathSciNet  Google Scholar 

  22. van Bevern, R., Tsidulko, O.Y., Zschoche, P.: Fixed-parameter algorithms for maximum-profit facility location under matroid constraints. In: Proceedings of the 11th International Conference on Algorithms and Complexity (2019)

    Google Scholar 

Download references

Acknowledgements

The authors thank Fahad Panolan and Saket Saurabh for several valuable discussions on the theme of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ashwin Jacob .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jacob, A., Majumdar, D., Raman, V. (2019). Parameterized Complexity of Conflict-Free Set Cover. In: van Bevern, R., Kucherov, G. (eds) Computer Science – Theory and Applications. CSR 2019. Lecture Notes in Computer Science(), vol 11532. Springer, Cham. https://doi.org/10.1007/978-3-030-19955-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-19955-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19954-8

  • Online ISBN: 978-3-030-19955-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics