Skip to main content

Complexity of Finding Maximum Regular Induced Subgraphs with Prescribed Degree

  • Conference paper
Fundamentals of Computation Theory (FCT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8070))

Included in the following conference series:

  • 652 Accesses

Abstract

We study the problem of finding a maximum vertex-subset S of a given graph G such that the subgraph G[S] induced by S is r-regular for a prescribed degree r ≥ 0. We also consider a variant of the problem which requires G[S] to be r-regular and connected. Both problems are known to be NP-hard even to approximate for a fixed constant r. In this paper, we thus consider the problems whose input graphs are restricted to some special classes of graphs. We first show that the problems are still NP-hard to approximate even if r is a fixed constant and the input graph is either bipartite or planar. On the other hand, both problems are tractable for graphs having tree-like structures, as follows. We give linear-time algorithms to solve the problems for graphs with bounded treewidth; we note that the hidden constant factor of our running time is just a single exponential of the treewidth. Furthermore, both problems are solvable in polynomial time for chordal graphs.

This work is partially supported by JSPS KAKENHI Grant Numbers 23500020 (E. Miyano), 25330003 (T. Ito) and 25330018 (Y. Asahiro).

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Asahiro, Y., Eto, H., Miyano, E.: Inapproximability of maximum r-regular induced connected subgraph problems. IEICE Transactions on Information and Systems E96-D, 443–449 (2013)

    Google Scholar 

  2. Betzler, N., Niedermeier, R., Uhlmann, J.: Tree decompositions of graphs: saving memory in dynamic programming. Discrete Optimization 3, 220–229 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  3. Blair, J.R.S., Peyton, B.: An introduction to chordal graphs and clique trees. Graph Theory and Sparse Matrix Computation 56, 1–29 (1993)

    Article  MathSciNet  Google Scholar 

  4. Bodlaender, H.L.: A linear-time algorithm for finding tree-decompositions of small treewidth. SIAM J. Computing 25, 1305–1317 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  5. Brandstädg, A., Le, V.B., Spinrad, J.P.: Graph Classes: A Survey. SIAM (1999)

    Google Scholar 

  6. Cameron, K.: Induced matchings. Discrete Applied Mathematics 24, 97–102 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  7. Cardoso, D.M., Kamiński, M., Lozin, V.: Maximum k-regular induced subgraphs. J. Combinatorial Optimization 14, 455–463 (2007)

    Article  MATH  Google Scholar 

  8. Courcelle, B.: Graph rewriting: an algebraic and logic approach, Handbook of Theoretical Computer Science, vol. B, pp. 193–242. MIT Press (1990)

    Google Scholar 

  9. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco (1979)

    MATH  Google Scholar 

  10. Gavril, F.: Algorithms for minimum coloring, maximum clique, minimum covering by cliques, and maximum independent set of a chordal graph. SIAM J. Computing 1, 180–187 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  11. Håstad, J.: Clique is hard to approximate within n 1 − ε. Acta Mathematica 182, 105–142 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  12. Kann, V.: Strong lower bounds on the approximability of some NPO PB-complete maximization problems. In: Hájek, P., Wiedermann, J. (eds.) MFCS 1995. LNCS, vol. 969, pp. 227–236. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  13. Lampis, M.: Algorithmic meta-theorems for restrictions of treewidth. Algorithmica 64, 19–37 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  14. Lund, C., Yannakakis, M.: The approximation of maximum subgraph problems. In: Lingas, A., Carlsson, S., Karlsson, R. (eds.) ICALP 1993. LNCS, vol. 700, pp. 40–51. Springer, Heidelberg (1993)

    Chapter  Google Scholar 

  15. Orlovich, Y., Finke, G., Gordon, V., Zverovich, I.: Approximability results for the maximum and minimum maximal induced matching problems. Discrete Optimization 5, 584–593 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  16. Stewart, I.A.: Deciding whether a planar graph has a cubic subgraph is NP-complete. Discrete Mathematics 126, 349–357 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  17. Stewart, I.A.: Finding regular subgraphs in both arbitrary and planar graphs. Discrete Applied Mathematics 68, 223–235 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  18. Stewart, I.A.: On locating cubic subgraphs in bounded-degree connected bipartite graphs. Discrete Mathematics 163, 319–324 (1997)

    Article  MathSciNet  MATH  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

Asahiro, Y., Eto, H., Ito, T., Miyano, E. (2013). Complexity of Finding Maximum Regular Induced Subgraphs with Prescribed Degree. In: GÄ…sieniec, L., Wolter, F. (eds) Fundamentals of Computation Theory. FCT 2013. Lecture Notes in Computer Science, vol 8070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40164-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40164-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40163-3

  • Online ISBN: 978-3-642-40164-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics