Skip to main content
Log in

Global convergence of the affine scaling methods for degenerate linear programming problems

  • Published:
Mathematical Programming Submit manuscript

Abstract

In this paper we show the global convergence of the affine scaling methods without assuming any condition on degeneracy. The behavior of the method near degenerate faces is analyzed in detail on the basis of the equivalence between the affine scaling methods for homogeneous LP problems and Karmarkar's method. It is shown that the step-size 1/8, where the displacement vector is normalized with respect to the distance in the scaled space, is sufficient to guarantee the global convergence of the affine scaling methods.

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. I. Adler, N.K. Karmarkar, M.G.C. Resende and G. Veiga, “An implementation of Karmarkar's algorithm for linear programming”Mathematical Programming 44 (1989) 297–335.

    Google Scholar 

  2. I. Adler, N.K. Karmarkar, M.G.C. Resende and G. Veiga, “Data structures and programming techniques for the implementation of Karmarkar's algorithm,”ORSA Journal on Computing 1(2) (1989) 84–106.

    Google Scholar 

  3. I. Adler and R.D.C. Monteiro, “Limiting behavior of the affine scaling continuous trajectories for linear programming problems,”Mathematical Programming 50 (1991) 29–51.

    Google Scholar 

  4. E.R. Barnes, “A variation on Karmarkar's algorithm for solving linear programming problems,”Mathematical Programming 36 (1986) 174–182.

    Google Scholar 

  5. D.A. Bayer and J.C. Lagarias, “The nonlinear geometry of linear programming: I. Affine and projective trajectories,”Transactions of the American Mathematical Society 314(2) (1989) 499–526.

    Google Scholar 

  6. I.I. Dikin, “Iterative solution of problems of linear and quadratic programming,”Soviet Mathematics Doklady 8 (1967) 674–675.

    Google Scholar 

  7. I.I. Dikin, “About the convergence of an iterative process,”Upravlyaemye Sistemi 12 (1974) 54–60. [In Russian.]

    Google Scholar 

  8. C.C. Gonzaga, “Conial projection algorithms for linear programming,”Mathematical Programming 43 (1989) 151–173.

    Google Scholar 

  9. N. Karmarkar, “A new polynomial-time algorithm for linear programming,”Combinatorica 4(4) (1984) 373–395.

    Google Scholar 

  10. K.A. McShane, C.L. Monma and D.F. Shanno, “An implementation of a primal—dual interior point method for linear programming,”ORSA Journal on Computing 1 (1989) 70–83.

    Google Scholar 

  11. N. Megiddo and M. Shub, “Boundary behavior of interior point algorithms for linear programming,”Mathematics of Operations Research 14(1) (1989) 97–146.

    Google Scholar 

  12. C.L. Monma and A.J. Morton, “Computational experience with a dual affine variant of Karmarkar's method for linear programming,”Operations Research Letters 6 (1987) 261–267.

    Google Scholar 

  13. A. Schrijver,Theory of Linear and Integer Programming (Wiley, Chichester, UK, 1986).

    Google Scholar 

  14. K. Tanabe and T. Tsuchiya, “Global analysis of dynamical systems associated with Karmarkar's method for linear programming,” Manuscript (1987).

  15. P. Tseng and Z.-Q. Luo, “On the convergence of the affine-scaling algorithm,” Technical Report, CICS-P-169, Center for Intelligent Control Systems, Massachusetts Institute of Technology (Cambridge, MA, 1989).

    Google Scholar 

  16. T. Tsuchiya, “On Yamashita's method and Freund's method for linear programming,”Cooperative Research Report of the Institute of Statistical Mathematics 10 (1988) 105–115. [In Japanese.]

    Google Scholar 

  17. T. Tsuchiya, “Dual standard form linear programming problems and Karmarkar's canonical form,”Lecture Note of the Research Institute of Mathematical Sciences 676 (1988) 330–336. [In Japanese.]

    Google Scholar 

  18. T. Tsuchiya, “Global convergence property of the affine scaling methods for the primal degenerate linear programming problems,” To appear inMathematics of Operations Research (1992).

  19. T. Tsuchiya and K. Tanabe, “Local convergence properties of new methods in linear programming,”The Journal of the Operations Research Society of Japan 33(1) (1990) 22–45.

    Google Scholar 

  20. T. Tsuchiya, “Quadratic convergence of Iri and Imai's algorithm for degenerate linear programming problems,” Research Memorandum 412, the Institute of Statistical Mathematics (Tokyo, Japan, 1991).

    Google Scholar 

  21. R.J. Vanderbei, M.S. Meketon and B.A. Freedman, “A modification of Karmarkar's linear programming algorithm,”Algorithmica 1 (1986) 395–407.

    Google Scholar 

  22. R.J. Vanderbei and J.C. Lagarias, “I.I. Dikin's convergence result for the affine-scaling algorithm,” Technical Report, AT&T Bell Laboratories (Murray Hill, NJ, 1988).

    Google Scholar 

  23. H. Yamashita, “A polynomially and quadratically convergent method for linear programming,” Technical Report, Mathematical System Inc. (Tokyo, 1986).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tsuchiya, T. Global convergence of the affine scaling methods for degenerate linear programming problems. Mathematical Programming 52, 377–404 (1991). https://doi.org/10.1007/BF01582896

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01582896

Key words

Navigation