Skip to main content

Advertisement

Log in

A new self-adaptive alternating direction method for variational inequality problems with linear equality and inequality constraints

  • Published:
Journal of Applied Mathematics and Computing Aims and scope Submit manuscript

Abstract

In this paper, we present a new self-adaptive alternating direction method for solving a class of variational inequality problems with both linear equality and inequality constraints without the need to add any extra slack variables. The method is simple because it needs only to perform some projections and function evaluations. In addition, to further enhance its efficiency, we adopt a self-adaptive strategy to adjust parameter μ at each iteration. Convergence of the proposed method is proved under certain conditions. Numerical experience illustrates the efficiency of the new method.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bertsekas, D.P., Gafni, E.M.: Projection method for variational inequalities with applications to the traffic assignment problem. Math. Program. Stud. 17, 139–159 (1982)

    MathSciNet  MATH  Google Scholar 

  2. Dafernos, S.: Traffic equilibrium and variational inequalities. Transp. Sci. 14, 42–54 (1980)

    Article  Google Scholar 

  3. Zhou, Z., Chen, A., Han, D.R.: An extended alternating direction method for variational inequality problems with linear equality and inequality constraints. Appl. Math. Comput. 184, 769–782 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  4. Larsson, T., Patriksson, M.: Equilibrium characterizations of solutions to side constrained asymmetric traffic assignment models. Matematiche 49, 249–280 (1994)

    MathSciNet  MATH  Google Scholar 

  5. Leblanc, L., Chifflet, J., Mahey, P.: Packet routing in telecommunication networks with path and flow restrictions. Networks 11(2), 188–197 (1999)

    MathSciNet  MATH  Google Scholar 

  6. Han, D.R.: A modified alternating direction method for variational inequality problems. Appl. Math. Optim. 45, 63–74 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  7. Han, D.R.: A proximal decomposition algorithm for variational inequality problems. J. Comput. Appl. Math. 161, 231–244 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  8. Zhang, W.X., Han, D.R.: A new alternating direction method for co-coercive variational inequality problems. Comput. Math. Appl. 57(7), 1168–1178 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. He, B.S., Hai, Y.: Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities. Oper. Res. Lett. 23, 151–161 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  10. Ye, C.H., Yuan, X.M.: A descent method for structured monotone variational inequalities. Optim. Methods Softw. 22, 329–338 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  11. Han, D.R., Lo, H.K., Wang, Z.W.: A simple self-adaptive alternating direction method for linear variational inequality problems. Comput. Math. Appl. 53, 1595–1604 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  12. Han, D.R., Lo, H.K.: Solving variational inequality problems with linear constraints by a proximal decomposition algorithm. J. Glob. Optim. 28, 97–113 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  13. Han, D.R., Lo, H.K.: New alternating direction method for a class of nonlinear variational inequality problems. J. Optim. Theory Appl. 112(3), 549–560 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  14. Sun, M.: Two new self-adaptive descent methods without line search for co-coercive structured variational inequality problems. J. Appl. Math. Comput. (2009). doi:10.1007/s12190-009-0350-6

    Google Scholar 

  15. Facchinei, F., Pang, J.S.: Finite-dimensional variational inequalities and complementarity problems, vols. I and II. Springer, Berlin (2003)

    Google Scholar 

  16. Eaves, B.C.: On the basic theorem of complementarity. Math. Program. 1, 68–75 (1971)

    Article  MathSciNet  MATH  Google Scholar 

  17. Gafni, E.M., Bertsekas, D.P.: Two-metric projection methods for constrained optimization. SIAM J. Control Optim. 22, 936–964 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  18. Harker, P.T., Pang, J.S.: Finite-dimensional variational inequality and complementarity problems: a survey of theory, algorithms and applications. Math. Program. 48, 161–220 (1990)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Sun.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sun, M., Sui, Q. A new self-adaptive alternating direction method for variational inequality problems with linear equality and inequality constraints. J. Appl. Math. Comput. 37, 69–84 (2011). https://doi.org/10.1007/s12190-010-0421-8

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12190-010-0421-8

Keywords

Mathematics Subject Classification (2000)

Navigation