Skip to main content

New Complexity Analysis of the Path Following Method for Linear Complementarity Problem

  • Conference paper
  • First Online:
Intelligent Mathematics II: Applied Mathematics and Approximation Theory

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 441))

  • 893 Accesses

Abstract

In this paper, we present an interior point algorithm for solving an optimization problem using the central path method. By an equivalent reformulation of the central path, we obtain a new search direction which targets at a small neighborhood of the central path. For a full-Newton step interior-point algorithm based on this search direction, the complexity bound of the algorithm is the best known for linear complementarity problem. For its numerical tests some strategies are used and indicate that the algorithm is efficient.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

References

  1. de Klerk, E.: Aspects of Semidefinite Programming: Interior Point Methods and Selected Applications. Kluwer Academic Publishers, Dordrecht (2002)

    Book  MATH  Google Scholar 

  2. Mansouri, H., Roos, C.: A new full-Newton step \(O(n)\) infeasible interior-point algorithm for semidefinite optimization. Numer. Algorithms 52(2), 225–255 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Lustig, I.J.: Feasible issues in a primal-dual interior point method for linear programming. Math. Program. 49, 145–162 (1990–1991)

    Google Scholar 

  4. Tanabe, K.: Centered Newton method for linear programming: interior and ‘exterior’ point method. In: Tone, K. (ed.) New Methods for Linear Programming, vol. 3, pp. 98–100. The Institute of Statistical Mathematics, Tokyo (1990), in Japanese

    Google Scholar 

  5. Kojima, M., Megiddo, N., Mizuno, S.: A primal-dual infeasible-interior-point algorithm for linear programming. Math. Program. 61, 263–280 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  6. Zhang, Y.: On the convergence of a class of infeasible-interior-point methods for the horizontal linear complementarity problem. SIAM J. Optim. 4, 208–227 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  7. Mansouri, H., Roos, C.: Simplified \(O(nL)\) infeasible interior-point algorithm for linear optimization using full Newton steps. Optim. Methods Softw. 22(3), 519–530 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Bai, Y.Q., El Ghami, M., Roos, C.: A new efficient large-update primal-dual interior-point method based a finite barrier. SIAM J. Optim. 13(3), 766–782 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  9. Bellman, R.: Introduction to matrix analysis. In: Classics in Applied Mathematics, vol. 12. SIAM, Philadelphia (1995)

    Google Scholar 

  10. Bai, Y.Q., El Ghami, M., Roos, C.: A comparative study of kernel functions for primal-dual interior-point algorithms in linear optimization. SIAM J. Optim. 15(1), 101–128 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  11. Nesterov, Y.E., Nemirovskii, A.S.: Interior point polynomial algorithms in convex programming. In: SIAM Studies in Applied Mathematics, vol. 13. SIAM, Philadelphia (1994)

    Google Scholar 

  12. Peng, J., Roos, C., Terlaky, T.: Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms. Princeton University Press, Princeton (2002)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to El Amir Djeffal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Djeffal, E.A., Djeffal, L., Benoumelaz, F. (2016). New Complexity Analysis of the Path Following Method for Linear Complementarity Problem. In: Anastassiou, G., Duman, O. (eds) Intelligent Mathematics II: Applied Mathematics and Approximation Theory. Advances in Intelligent Systems and Computing, vol 441. Springer, Cham. https://doi.org/10.1007/978-3-319-30322-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30322-2_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30320-8

  • Online ISBN: 978-3-319-30322-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics