Skip to main content

Equation Systems with Free-Coordinates Determinants

  • Conference paper
Automated Deduction in Geometry (ADG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7993))

Included in the following conference series:

  • 529 Accesses

Abstract

In geometric constraint solving, it is usual to consider Cayley-Menger determinants in particular in robotics and molecular chemistry, but also in CAD. The idea is to regard distances as coordinates and to build systems where the unknowns are distances between points. In some cases, this allows to drastically reduce the size of the system to solve. On the negative part, it is difficult to know in advance if the yielded systems will be small and then to build these systems. In this paper, we describe two algorithms which allow to generate such systems with a minimum number of equations according to a chosen reference with 3 or 4 fixed points. We can then compute the smaller systems by enumeration of references. We also discuss what are the criteria so that such system can be efficiently solved by homotopy.

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 49.99
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. Cao, M., Anderson, B.D.O., Stephen Morse, A.: Sensor network localization with imprecise distances. Systems & Control Letters 55(11), 887–893 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  2. Hoffmann, C., Lomonosov, A., Sitharam, M.: Decomposition plans for geometric constraint systems, part i: Performance measures for cad. J. Symbolic Computation 31, 367–408 (2001)

    Article  MathSciNet  Google Scholar 

  3. Huber, B., Sturmfels, B.: A polyhedral method for solving sparse polynomial systems. Math. Comput. 64(212), 1541–1555 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  4. Mathis, P., Thierry, S.E.B.: A formalization of geometric constraint systems and their decomposition. Formal Aspects of Computing 22(2), 129–151 (2010)

    Article  MATH  Google Scholar 

  5. Michelucci, D.: Using cayley menger determinants. In: Proceedings of the 2004 ACM Symposium on Solid Modeling, pp. 285–290 (2004)

    Google Scholar 

  6. Porta, J.M., Ros, L., Thomas, F., Corcho, F., Cantó, J., Pérez, J.J.: Complete maps of molecular-loop conformational spaces. Journal of Computational Chemistry 28(13), 2170–2189 (2007)

    Article  Google Scholar 

  7. Sippl, M.J., Scheraga, H.A.: Cayley-menger coordinates. Proc. Natl. Acad. Sci. USA 83, 2283 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  8. Sitharam, M., Peters, J., Zhou, Y.: Optimized parametrization of systems of incidences between rigid bodies. Journal of Symbolic Computation 45(4), 481–498 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. Liet, T.Y., Lee, T.L., Tsai, C.H.: Hom4ps-2.0: a software package for solving polynomial systems by the polyhedral homotopy continuation method. Computing 83, 109–133 (2008)

    Article  MathSciNet  Google Scholar 

  10. Thierry, S.E.B., Schreck, P., Michelucci, D., Fünfzig, C., Génevaux, J.-D.: Extensions of the witness method to characterize under-, over- and well-constrained geometric constraint systems. Computer-Aided Design 43(10), 1234–1249 (2011)

    Article  Google Scholar 

  11. Thomas, F., Ros, L.: Revisiting trilateration for robot localization. IEEE Transactions on Robotics 21(1), 93–101 (2005)

    Article  MathSciNet  Google Scholar 

  12. Lin, Q., Gao, X.-S., Zhang, G.-F.: A c-tree decomposition algorithm for 2D and 3D geometric constraint solving. Computer-Aided Design 38(1), 1–13 (2006)

    Article  Google Scholar 

  13. Yang, L.: Solving geometric constraints with distance-based global coordinate system. In: Proceedings of the Workshop on Geometric Constraint Solving, Beijing, China (2003), http://www.mmrc.iss.ac.cn/~ascm/ascm03/

  14. Yang, L.: Distance coordinates used in geometric constraint solving. In: Winkler, F. (ed.) ADG 2002. LNCS (LNAI), vol. 2930, pp. 216–229. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mathis, P., Schreck, P. (2013). Equation Systems with Free-Coordinates Determinants. In: Ida, T., Fleuriot, J. (eds) Automated Deduction in Geometry. ADG 2012. Lecture Notes in Computer Science(), vol 7993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40672-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40672-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40671-3

  • Online ISBN: 978-3-642-40672-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics