Skip to main content

distn: An Euclidean Distance Global Constraint

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2833))

Abstract

We present a global constraint that maintains the Euclidean distance between n points.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  1. Batnini, H., Rueher, M.: Semantic decomposition for solving distance constraints. In: Rossi, F. (ed.) CP 2003. LNCS, vol. 2833, pp. 964–965. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  2. Krippahl, L., Barahona, P.: PSICO: solving protein structures with constraint programming and optimization. Constraints 7(3-4), 317–331 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  3. Lebbah, Y., Rueher, M., Michel, C.: A global filtering algorithm for handling systems of quadratic equations and inequations. In: Van Hentenryck, P. (ed.) CP 2002. LNCS, vol. 2470, p. 109. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Markót, M.C.: An interval method to validate optimal solutions of the “packing circles in a unit square” problems. Central European Journal of Operational Research 8, 63–78 (2000)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Heusch, M. (2003). distn: An Euclidean Distance Global Constraint. In: Rossi, F. (eds) Principles and Practice of Constraint Programming – CP 2003. CP 2003. Lecture Notes in Computer Science, vol 2833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45193-8_99

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45193-8_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20202-8

  • Online ISBN: 978-3-540-45193-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics