Skip to main content

The Exponential Time Complexity of Computing the Probability That a Graph Is Connected

  • Conference paper
Parameterized and Exact Computation (IPEC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6478))

Included in the following conference series:

Abstract

We show that for every probability p with 0ā€‰<ā€‰pā€‰<ā€‰1, computation of all-terminal graph reliability with edge failure probability p requires time exponential in \({\it \Omega}(m/\log^2 m)\) for simple graphs of m edges under the Exponential Time Hypothesis.

Partially supported by Swedish Research Council grant VR 2008ā€“2010.

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

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.

Similar content being viewed by others

References

  1. Ball, M.O., Colbourn, C.J., Provan, J.S.: Network Reliability. Handbooks in operations research and management science, ch. 11, vol.Ā 7. Elsevier Science, Amsterdam (1995)

    MATHĀ  Google ScholarĀ 

  2. Bjƶrklund, A., Husfeldt, T., Kaski, P., Koivisto, M.: Computing the Tutte polynomial in vertex-exponential time. In: 49th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2008), Philadelphia, Pennsylvania, USA, October 25-28, pp. 677ā€“686. IEEE Computer Society, Los Alamitos (2008)

    ChapterĀ  Google ScholarĀ 

  3. Brylawski, T.H.: The Tutte polynomial. In: Matroid Theory and Its Applications, pp. 125ā€“275. C.I.M.E., Ed. Liguori, Napoli & BirkhƤuser (1980)

    Google ScholarĀ 

  4. Buzacott, J.A.: A recursive algorithm for finding reliability measures related to the connection of nodes in a graph. NetworksĀ 10(4), 311ā€“327 (1980)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  5. Dell, H., Husfeldt, T., WahlĆ©n, M.: Exponential time complexity of the permanent and the Tutte polynomial. In: Gavoille, C. (ed.) ICALP 2010, Part I. LNCS, vol.Ā 6198, pp. 426ā€“437. Springer, Heidelberg (2010); Full paper in Electronic Colloquium on Computational Complexity, Report No. 78 (2010)

    ChapterĀ  Google ScholarĀ 

  6. Godsil, C., Royle, G.: Algebraic Graph Theory. Graduate Texts in Mathematics. Springer, Heidelberg (2001)

    BookĀ  MATHĀ  Google ScholarĀ 

  7. Goldberg, L.A., Jerrum, M.: Inapproximability of the Tutte polynomial. Inform. Comput.Ā 206(7), 908ā€“929 (2008)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  8. Hoffmann, C.: Exponential time complexity of weighted counting of independent sets. In: Raman, V., Saurabh, S. (eds.) IPEC 2010. LNCS, vol.Ā 6478, pp. 180ā€“191. Springer, Heidelberg (2010)

    Google ScholarĀ 

  9. Impagliazzo, R., Paturi, R., Zane, F.: Which problems have strongly exponential complexity? J. Comput. Syst. Sci.Ā 63(4), 512ā€“530 (2001)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  10. Jaeger, F., Vertigan, D.L., Welsh, D.J.: On the computational complexity of the Jones and Tutte polynomials. Math. Proc. CambridgeĀ 108(1), 35ā€“53 (1990)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  11. Kirchhoff, G.: Ɯber die Auflƶsung der Gleichungen, auf welche man bei der Untersuchung der linearen Verteilung galvanischer Strƶme gefĆ¼hrt wird. Ann. Phys. Chem.Ā 72, 497ā€“508 (1847)

    ArticleĀ  Google ScholarĀ 

  12. Kutzkov, K.: New upper bound for the #3-SAT problem. Inf. Process. Lett.Ā 105(1), 1ā€“5 (2007)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  13. Provan, J.S., Ball, M.O.: The complexity of counting cuts and of computing the probability that a graph is connected. SIAM J. Comput.Ā 12(4), 777ā€“788 (1983)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

  14. Sekine, K., Imai, H., Tani, S.: Computing the Tutte polynomial of a graph of moderate size. In: Staples, J., Katoh, N., Eades, P., Moffat, A. (eds.) ISAAC 1995. LNCS, vol.Ā 1004, pp. 224ā€“233. Springer, Heidelberg (1995)

    ChapterĀ  Google ScholarĀ 

  15. Sokal, A.D.: The multivariate Tutte polynomial (alias Potts model) for graphs and matroids. In: Surveys in Combinatorics, pp. 173ā€“226. Cambridge University Press, Cambridge (2005)

    Google ScholarĀ 

  16. Valiant, L.G.: The complexity of enumeration and reliability problems. SIAM J. Comput.Ā 8(3), 410ā€“421 (1979)

    ArticleĀ  MathSciNetĀ  MATHĀ  Google ScholarĀ 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Husfeldt, T., Taslaman, N. (2010). The Exponential Time Complexity of Computing the Probability That a Graph Is Connected. In: Raman, V., Saurabh, S. (eds) Parameterized and Exact Computation. IPEC 2010. Lecture Notes in Computer Science, vol 6478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17493-3_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-17493-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17492-6

  • Online ISBN: 978-3-642-17493-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics