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On the structure of the set bases of a degenerate point

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Abstract

Consider an extreme point (EP)x 0 of a convex polyhedron defined by a set of linear inequalities. If the basic solution corresponding tox 0 is degenerate,x 0 is called a degenerate EP. Corresponding tox 0, there are several bases. We will characterize the set of all bases associated withx 0, denoted byB 0. The setB 0 can be divided into two classes, (i) boundary bases and (ii) interior bases. For eachB 0, there is a corresponding undirected graphG 0, in which there exists a tree which connects all the boundary bases. Some other properties are investigated, and open questions for further research are listed, such as the connection between the structure ofG 0 and cycling (e.g., in linear programs).

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References

  1. Karwan, M. H., Lofti, V., Telgen, J., andZionts, S.,Redundancy in Mathematical Programming, Springer Verlag, New York, New York, 1983.

    Google Scholar 

  2. Gal, T.,Determination of All Neighbors of a Degenerate Extreme Point in Polytopes, Fern Universität, Hagen, Discussion Paper No. 17b, 1978.

    Google Scholar 

  3. Adler, I., andDantzig, G. B.,Maximum Diameter of Abstract Polytopes, Mathematical Programming Study 1, pp. 20–40, 1974.

  4. Balas, E., andPadberg, M. W.,Set Partitioning, Combinatorial Programming: Methods and Applications, Edited by B. Roy, D. Reidel Publishing Company, New York, New York, pp. 205–258, 1975.

    Google Scholar 

  5. Brucker, P.,Diskrete Parametrische Optimierungsprobleme und Wesentliche Effiziente Punkte, Zeitschrift für Operations Research, Vol. 16, pp. 189–197, 1972.

    Google Scholar 

  6. Korte, B.,Ganzzahlige Programmierung, Universität Bonn, Institut für Ökonometrie und Operations Research, Working Paper No. 7646-OR, 1976.

  7. Roy, B., Editor,Combinatorial Programming: Methods and Applications, D. Reidel Publishing Company, New York, New York, 1975.

    Google Scholar 

  8. Gal, T.,Postoptimal Analyses, Parametric Programming, and Related Topics, McGraw-Hill, New York, New York, 1979.

    Google Scholar 

  9. Gal, T., andNedoma, J.,Multiparametric Linear Programming, Management Science, Vol. 19, pp. 406–422, 1972.

    Google Scholar 

  10. Yu, P., andZeleny, M.,Linear Multiparametric Programming by Multicriteria Simplex Method, Management Science, Vol. 23, pp. 159–170, 1976.

    Google Scholar 

  11. Ecker, J. G., Hegner, N. S., andKouada, I. A.,Generating all Maximal Efficient Faces for Multiple Objective Linear Programs, Journal of Optimization Theory and Applications, Vol. 39, pp. 353–381, 1980.

    Google Scholar 

  12. Gal, T.,A General Method for Determining the Set of All Solutions to a Linear Vector Maximum Problem, European Journal of Operational Research, Vol. 1, pp. 307–332, 1977.

    Google Scholar 

  13. Isermann, H.,The Enumeration of the Set of All Efficient Solutions for a Linear Multiple Objective Program, Operations Research Quarterly, Vol. 28, pp. 711–720, 1977.

    Google Scholar 

  14. Zeleny, M.,Linear Multiobjective Programming, Springer-Verlag, New York, New York, 1974.

    Google Scholar 

  15. Cunningham, W. H.,A Network Simplex Method, Mathematical Programming, Vol. 11, pp. 105–116, 1976.

    Google Scholar 

  16. Cunningham, W. H., andKlincewicz, J. G.,On Cycling in the Network Simplex Method, Mathematical Programming, Vol. 23, pp. 182–189, 1983.

    Google Scholar 

  17. Balinski, M. L.,An Algorithm for Finding All Vertices of Convex Polyhedral Sets, SIAM Journal, Vol. 9, pp. 72–88, 1961.

    Google Scholar 

  18. Manas, M., andNedoma, J.,Finding All Vertices of a Convex Polyhedron, Numerische Mathematik, Vol. 12, pp. 226–229, 1968.

    Google Scholar 

  19. Telgen, J.,Redundant and Nonbinding Constraints in Linear Programming Problems, Erasmus University, Rotterdam, Holland, Discussion Paper, 1977.

    Google Scholar 

  20. Charnes, A.,Optimality and Degeneracy in Linear Programming, Econometrica, Vol. 20, pp. 160–170, 1952.

    Google Scholar 

  21. Bland, R. G.,New Finite Pivoting Rules for the Simplex Method, Mathematics of Operations Research, Vol. 2, pp. 103–107, 1977.

    Google Scholar 

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Communicated by P. L. Yu

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Gal, T. On the structure of the set bases of a degenerate point. J Optim Theory Appl 45, 577–589 (1985). https://doi.org/10.1007/BF00939135

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