Skip to main content

Searching in Dynamic Tree-Like Partial Orders

  • Conference paper
Algorithms and Data Structures (WADS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6844))

Included in the following conference series:

Abstract

We give the first data structure for the problem of maintaining a dynamic set of n elements drawn from a partially ordered universe described by a tree. We define the Line-Leaf Tree, a linear-sized data structure that supports the operations: insert; delete; test membership; and predecessor. The performance of our data structure is within an O(logw)-factor of optimal. Here w ≤ n is the width of the partial-order—a natural obstacle in searching a partial order.

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. Ben-Asher, Y., Farchi, E., Newman, I.: Optimal search in trees. SIAM J. Comput. 28(6), 2090–2102 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  2. Carmo, R., Donadelli, J., Kohayakawa, Y., Laber, E.S.: Searching in random partially ordered sets. Theor. Comput. Sci. 321(1), 41–57 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  3. Mozes, S., Onak, K., Weimann, O.: Finding an optimal tree searching strategy in linear time. In: SODA 2008: Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1096–1105. Society for Industrial and Applied Mathematics, Philadelphia (2008)

    Google Scholar 

  4. Onak, K., Parys, P.: Generalization of binary search: Searching in trees and forest-like partial orders. In: FOCS 2006: Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science, pp. 379–388. IEEE Computer Society, Washington, DC, USA (2006)

    Chapter  Google Scholar 

  5. Dereniowski, D.: Edge ranking and searching in partial orders. Discrete Appl. Math. 156(13), 2493–2500 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  6. Jacobs, T., Cicalese, F., Laber, E.S., Molinaro, M.: On the complexity of searching in trees: Average-case minimization. In: Abramsky, S., Gavoille, C., Kirchner, C., Meyer auf der Heide, F., Spirakis, P.G. (eds.) ICALP 2010. LNCS, vol. 6198, pp. 527–539. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Laber, E., Molinaro, M.: An approximation algorithm for binary searching in trees. In: Aceto, L., Damgård, I., Goldberg, L.A., Halldórsson, M.M., Ingólfsdóttir, A., Walukiewicz, I. (eds.) ICALP 2008, Part I. LNCS, vol. 5125, pp. 459–471. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Daskalakis, C., Karp, R.M., Mossel, E., Riesenfeld, S., Verbin, E.: Sorting and selection in posets. In: SODA 2009: Proceedings of the Nineteenth Annual ACM-SIAM SODA, pp. 392–401. SIAM, Philadelphia (2009)

    Google Scholar 

  9. Daskalakis, C., Karp, R.M., Mossel, E., Riesenfeld, S., Verbin, E.: Sorting and selection in posets. CoRR abs/0707.1532 (2007)

    Google Scholar 

  10. Heeringa, B., Iordan, M.C., Theran, L.: Searching in dynamic tree-like partial orders. CoRR abs/1010.1316 (2010)

    Google Scholar 

  11. Laber, E., Nogueira, L.T.: Fast searching in trees. Electronic Notes in Discrete Mathematics 7, 1–4 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  12. Meir, A., Moon, J.W.: On the altitude of nodes in random trees. Canadian Journal of Mathematics 30, 997–1015 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  13. Bergeron, F., Flajolet, P., Salvy, B.: Varieties of increasing trees. In: Raoult, J.-C. (ed.) CAAP 1992. LNCS, vol. 581, pp. 24–48. Springer, Heidelberg (1992)

    Chapter  Google Scholar 

  14. Drmota, M.: The height of increasing trees. Annals of Combinatorics 12, 373–402 (2009), doi:10.1007/s00026-009-0009-x

    Article  MathSciNet  MATH  Google Scholar 

  15. Grimmett, G.R.: Random labelled trees and their branching networks. J. Austral. Math. Soc. Ser. A 30(2), 229–237 (1980/1981)

    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

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Heeringa, B., Iordan, M.C., Theran, L. (2011). Searching in Dynamic Tree-Like Partial Orders. In: Dehne, F., Iacono, J., Sack, JR. (eds) Algorithms and Data Structures. WADS 2011. Lecture Notes in Computer Science, vol 6844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22300-6_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22300-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22299-3

  • Online ISBN: 978-3-642-22300-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics