Skip to main content

Three Paths to Point Placement

  • Conference paper
Algorithms and Discrete Applied Mathematics (CALDAM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8959))

Included in the following conference series:

Abstract

The point placement problem is to determine the positions of a set of n distinct points, P = {p 1, p 2, p 3, …, p n }, on a line uniquely, up to translation and reflection, from the fewest possible distance queries between pairs of points. Each distance query corresponds to an edge in a graph, called point placement graph (ppg), whose vertex set is P. The uniqueness requirement of the placement translates to line rigidity of the ppg. In this paper, we show how to construct in 2 rounds a line rigid ppg of size 9n/7 + O(1). This improves the best known result of 4n/3 + O(1). We also improve the lower bound on 2-round algorithms from 14n/13 to 9n/8.

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. Alam, M.S., Mukhopadhyay, A.: A new algorithm and improved lower bound for point placement on a line in two rounds. In: CCCG 2010: Proceedings of the 22nd Canadian Conference on Computational Geometry, pp. 229–232 (2010)

    Google Scholar 

  2. Alam, M.S., Mukhopadhyay, A., Sarker, A.: Generalized jewels and the point placement problem. In: CCCG 2009: Proceedings of the 21st Canadian Conference on Computational Geometry, pp. 45–48 (2009)

    Google Scholar 

  3. Chin, F.Y.L., Leung, H.C.M., Sung, W.K., Yiu, S.M.: The point placement problem on a line – improved bounds for pairwise distance queries. In: Giancarlo, R., Hannenhalli, S. (eds.) WABI 2007. LNCS (LNBI), vol. 4645, pp. 372–382. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Crippen, G., Havel, T.: Distance geometry and molecular conformation, vol. 15. Research Studies Press Taunton Somerset England (1988)

    Google Scholar 

  5. Damaschke, P.: Point placement on the line by distance data. Discrete Applied Mathematics 127(1), 53–62 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  6. Damaschke, P.: Randomized vs. deterministic distance query strategies for point location on the line. Discrete Applied Mathematics 154(3), 478–484 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  7. Mumey, B.: Probe location in the presence of errors: a problem from DNA mapping. Discrete Applied Mathematics 104(1-3), 187–201 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Redstone, J., Ruzzo, W.L.: Algorithms for a simple point placement problem. In: Bongiovanni, G., Petreschi, R., Gambosi, G. (eds.) CIAC 2000. LNCS, vol. 1767, pp. 32–43. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Alam, M.S., Mukhopadhyay, A. (2015). Three Paths to Point Placement. In: Ganguly, S., Krishnamurti, R. (eds) Algorithms and Discrete Applied Mathematics. CALDAM 2015. Lecture Notes in Computer Science, vol 8959. Springer, Cham. https://doi.org/10.1007/978-3-319-14974-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14974-5_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14973-8

  • Online ISBN: 978-3-319-14974-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics