Skip to main content

On the Complexity of Solving or Approximating Convex Recoloring Problems

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7936))

Abstract

Given a graph with an arbitrary vertex coloring, the Convex Recoloring Problem (CR) consists of recoloring the minimum number of vertices so that each color induces a connected subgraph. We focus on the complexity and inapproximabiliy of this problem on k-colored graphs, for fixed k ≥ 2. We prove a very strong complexity result showing that CR is already NP-hard on k-colored grids, and therefore also on planar graphs with maximum degree 4. For each k ≥ 2, we also prove that, for a positive constant c, there is no cln n-approximation algorithm even for k-colored n-vertex bipartite graphs, unless P = NP. For 2-colored (q,q − 4)-graphs, a class that includes cographs and P 4-sparse graphs, we present polynomial-time algorithms for fixed q. The same complexity results are obtained for a relaxation of CR, where only one fixed color is required to induce a connected subgraph.

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

Buying options

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 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alon, N., Moshkovitz, D., Safra, S.: Algorithmic construction of sets for k-restrictions. ACM Transactions on Algorithms 2, 153–177 (2006)

    Article  MathSciNet  Google Scholar 

  2. Babel, L., Olariu, S.: On the structure of graphs with few P 4′s. Discrete Appl. Math. 84, 1–13 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  3. Baumann, S.: A linear algorithm for the homogeneous decomposition of graphs, Report No. M-9615, Zentrum für Mathematik, Technische Universität München (1996)

    Google Scholar 

  4. Bar-Yehuda, R., Feldman, I., Rawitz, D.: Improved approximation algorithm for convex recoloring of trees. Theor. Comp. Sys. 43, 3–18 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bodlaender, H.L., Fellows, M.R., Langston, M.A., Ragan, M.A., Rosamond, F.A., Weyer, M.: Quadratic kernelization for convex recoloring of trees. Algorithmica 61(2), 362–388 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  6. Campêlo, M.B., Lima, K.R., Moura, P.F.S., Wakabayashi, Y.: Polyhedral studies on the convex recoloring problem (2012), accepted to VII Latin-American Algorithms, Graphs and Optimization Symposium (2013)

    Google Scholar 

  7. Chor, B., Fellows, M., Ragan, M.A., Razgon, I., Rosamond, F., Snir, S.: Connected coloring completion for general graphs: Algorithms and complexity. In: Lin, G. (ed.) COCOON 2007. LNCS, vol. 4598, pp. 75–85. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  8. Garey, M.R., Johnson, D.S.: The rectilinear steiner tree problem in NP-complete. SIAM Journal of Applied Mathematics 32, 826–834 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  9. Kammer, F., Tholey, T.: The complexity of minimum convex coloring. Discrete Appl. Math. 160, 810–833 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kanj, I.A., Kratsch, D.: Convex recoloring revisited: Complexity and exact algorithms. In: Ngo, H.Q. (ed.) COCOON 2009. LNCS, vol. 5609, pp. 388–397. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Jamison, B., Olariu, S.: A tree representation for P 4-sparse graphs. Discrete Appl. Math. 35, 115–129 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  12. Lima, K.R., Wakabayashi, Y.: Convex recoloring of paths. Electronic Notes in Discrete Mathematics 37, 165–170 (2011)

    Article  MathSciNet  Google Scholar 

  13. Moran, S., Snir, S.: Efficient approximation of convex recolorings. J. Comput. Syst. Sci. 73, 1078–1089 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  14. Moran, S., Snir, S.: Convex recolorings of strings and trees: Definitions, hardness results and algorithms. J. Comput. Syst. Sci. 74, 850–869 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  15. Moran, S., Snir, S., Sung, W.-K.: Partial convex recolorings of trees and galled networks: tight upper and lower bounds. ACM Trans. Algorithms 7 (2011)

    Google Scholar 

  16. Ponta, O., Hüffner, F., Niedermeier, R.: Speeding up dynamic programming for some NP-hard graph recoloring problems. In: Agrawal, M., Du, D.-Z., Duan, Z., Li, A. (eds.) TAMC 2008. LNCS, vol. 4978, pp. 490–501. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Raz, R., Safra, S.: A sub-constant error-probability low-degree test, and a sub-constant error-probability PCP characterization of NP. In: Proc. of the 29th Annual ACM Symposium on Theory of Computing, pp. 475–484 (1997)

    Google Scholar 

  18. Razgon, I.: A \(2\sp{O(k)}{\rm poly}(n)\) algorithm for the parameterized convex recoloring problem. Inform. Process. Lett. 104(2), 53–58 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  19. Sales, C.L., Maia, A.K., Martins, N., Sampaio, R.M.: Restricted Coloring Problems on graphs with few P 4’s. Annals of Operations Research (to appear)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Campêlo, M.B., Huiban, C.G., Sampaio, R.M., Wakabayashi, Y. (2013). On the Complexity of Solving or Approximating Convex Recoloring Problems. In: Du, DZ., Zhang, G. (eds) Computing and Combinatorics. COCOON 2013. Lecture Notes in Computer Science, vol 7936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38768-5_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38768-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38767-8

  • Online ISBN: 978-3-642-38768-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics