Skip to main content

Searching, sorting and randomised algorithms for Central Elements and ideal counting in posets

  • Conference paper
  • First Online:
Foundations of Software Technology and Theoretical Computer Science (FSTTCS 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 761))

Abstract

By the Central Element Theorem of Linial and Saks, it follows that for the problem of (generalised) searching in posets, the information-theoretic lower bound of log N comparisons (where N is the number of order-ideals in the poset) is tight asymptotically. We observe that this implies that the problem of (generalised) sorting in posets has complexity Θ(n · log N) (where n is the number of elements in the poset). We present schemes for (efficiently) transforming a randomised generation procedure for central elements (which often exists for some classes of posets) into randomised procedures for approximately counting ideals in the poset and for testing if an arbitrary element is central.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. M. Dyer, A. Frieze and R. Kannan: A Random Polynomial Time Algorithm for Approximating the Volume of Convex Bodies J. ACM 38:1 1–17(1991).

    Google Scholar 

  2. U. Faigle, L. Lovász, R. Schrader and Gy. Turán: Searching in Trees, Series-Parallel and Interval Orders, SIAM J. Computing, 12:4, 1075–1084,(1986).

    Google Scholar 

  3. U. Faigle and Gy. Turán: Sorting and Recognition Problems for Ordered Sets, SIAM J. Computing, 17:1, 100–113, (1988).

    Google Scholar 

  4. M. Jerrum and A. Sinclair: Approximating the Permanent SIAM J. Computing 18:6, 1149–1178 (1989).

    Google Scholar 

  5. N. Linial and M. Saks: Every Poset has a Central Element, J. Comb. Theory, Series A 40, 195–210 (1985).

    Google Scholar 

  6. J.S. Provan and M.O. Ball: The Complexity of Counting Cuts and Computing the Probability that a Graph is Connected SIAM J. Computing 12 777–788 (1983).

    Google Scholar 

  7. U. Schöning: Complexity and Structure Lecture Notes in Computer Science, 211, Springer-Verlag Berlin Heidelberg New York, (1985)

    Google Scholar 

  8. C.E. Shannon: A mathematical theory of communication, Bell System Tech. Journal 27, 379–423 and 623–656 (1948)

    Google Scholar 

  9. G. Steiner: Searching in 2-Dimensional Partial Orders, Journal of Algorithms 8, 95–105, (1987).

    Google Scholar 

  10. A.C.C. Yao Probabilistic Computations: Towards a Unified Measure of Complexity 18th Annual Symp. on Foundations of Comp. Sci., 222–227 (1977)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Rudrapatna K. Shyamasundar

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dubhashi, D.P., Mehlhorn, K., Ranjan, D., Thiel, C. (1993). Searching, sorting and randomised algorithms for Central Elements and ideal counting in posets. In: Shyamasundar, R.K. (eds) Foundations of Software Technology and Theoretical Computer Science. FSTTCS 1993. Lecture Notes in Computer Science, vol 761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57529-4_75

Download citation

  • DOI: https://doi.org/10.1007/3-540-57529-4_75

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57529-0

  • Online ISBN: 978-3-540-48211-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics