Skip to main content
Log in

Local convergence of interior-point algorithms for degenerate monotone LCP

  • Published:
Computational Optimization and Applications Aims and scope Submit manuscript

Abstract

Most asymptotic convergence analysis of interior-point algorithms for monotone linear complementarity problems assumes that the problem is nondegenerate, that is, the solution set contains a strictly complementary solution. We investigate the behavior of these algorithms when this assumption is removed.

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. A.J. Hoffman,On approximate solutions of systems of linear inequalities, J. Res. Nat. Bur. Standards, 49 (1952), pp. 263–265.

    Google Scholar 

  2. J. Ji, F. Potra, and S. Huang,A predictor-corrector method for linear complementarity problems with polynomial complexity and superlinear convergence. Tech. Rep. 18, Department of Mathematics, University of Iowa, Iowa City, Iowa, August 1991.

    Google Scholar 

  3. O.L. Mangasarian and T.-H. Shiau,Error bounds for monotone linear complementarity problems, Mathematical Programming, 36 (1986), pp. 81–89.

    Google Scholar 

  4. S. Mizuno,Polynomiality of Kojima-Meggido-Mizuno infeasible-interior-point algorithm for linear programming, Tech. Rep. 1006, School of Operations Research and Industrial Engineering, Cornell University, 1992.

  5. S. Mizuno, M. Todd, and Y. Ye,On adaptive-step primal-dual interior point algorithms for linear programming, Mathematics of Operations Research, 18 (1993), pp. 964–981.

    Google Scholar 

  6. F.A. Potra,An infeasible interior-point predictor-corrector algorithm for linear programming, Tech. Rep. 26, Department of Mathematics, University of Iowa, Iowa City, Iowa, June 1992.

    Google Scholar 

  7. S.J. Wright.An infeasible-interior-point algorithm for linear complementarity problems. Preprint MCS-P331-1092, Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois, October 1992. To appear in Mathematical Programming.

    Google Scholar 

  8. S.J. Wright,A path-following infeasible-interior-point algorithms for linear complementarity problems, Optimization Methods and Software, 2 (1993), pp. 79–106.

    Google Scholar 

  9. Y. Ye,On the finite convergence of interior-point algorithms for linear programming, Tech. Rep. 91-5, Department of Management Sciences, University of Iowa, Iowa City, February 1991.

    Google Scholar 

  10. Y. Ye and K. Anstreicher, On quadratic and\(O(\sqrt n L)\) convergence of a predictor-corrector algorithm for LCP, Tech. Rep. 91-20, Department of Management Sciences, University of Iowa, Iowa City, Iowa, November, 1991.

    Google Scholar 

  11. Y. Zhang,On the convergence of a class of infeasible-interior point algorithms for the horizontal linear complementarity problem. Tech. Rep. 92-07, Department of Mathematics and Statistics, University of Maryland, Baltimore County, Maryland, April 1992. To appear in SIAM Journal of Optimization.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The work of this author was based on research supported by the National Science Foundation under grant DDM-9109404 and the Office of Naval Research under grant N00014-93-1-0234.

The work of this author was based on research supported by the Office of Scientific Computing, U.S. Department of Energy, under Contract W-31-109-Eng-38.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Monteiro, R.D.C., Wright, S.J. Local convergence of interior-point algorithms for degenerate monotone LCP. Comput Optim Applic 3, 131–155 (1994). https://doi.org/10.1007/BF01300971

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01300971

Keywords

Navigation