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Polynomial algorithms for a class of linear programs

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Abstract

This paper describes several algorithms for solution of linear programs. The algorithms are polynomial when the problem data satisfy certain conditions.

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References

  1. S. Agmon, “The relaxation method for linear inequalities”,Canadian Journal of Mathematics 6 (1954) 382–392.

    Google Scholar 

  2. S.A. Cook, “The complexity of theorem proving procedures”, in:Conf. Rec. of 3rd ACM Symposium on Theory of Computing (1970) 151–158.

  3. G.B. Dantzig,Linear programming and extensions (Princeton University Press, Princeton, NJ, 1963).

    Google Scholar 

  4. J. Edmonds, “Paths, trees, and flowers”,Canadian Journal of Mathematics 17 (1965) 449–467.

    Google Scholar 

  5. J. Edmonds, “Systems of distinct representatives and linear algebra”,Journal of Research of the National Bureau of Standards — B 71B (1967) 241–245.

    Google Scholar 

  6. J. Edmonds and R.M. Karp, “Theoretical improvements in algorithmic efficiency for network flow problems”,Journal of the Association for Computing Machinery 19 (1972) 248–264.

    Google Scholar 

  7. A.J. Hoffman and J.B. Kruskal, “Integral boundary points of convex polyhedra”, in: H.W. Kuhn and A.W. Tucker, eds.,Linear inequalities and related systems (Princeton University Press, Princeton, NJ, 1956).

    Google Scholar 

  8. R.G. Jeroslow, “Some relaxation methods for linear inequalities”,Cahiers du Centre d'Études de Recherche Opérationnelle 21 (1979) 43–53.

    Google Scholar 

  9. R.M. Karp, “Reducibility among combinatorial problems”, in: R.E. Miller, et al. eds.,Complexity of computer computations (Plenum Press, New York, 1972).

    Google Scholar 

  10. L.G. Khachijan, “A polynomial algorithm in linear programming”,Soviet Mathematics Doklady 20 (1979) 191–194.

    Google Scholar 

  11. L. Lovász, “Normal hypergraphs and the perfect graph conjecture”,Discrete Mathematics 2 (1972) 253–267.

    Google Scholar 

  12. J.F. Maurras, “Bon algorithmes, vieilles idées”, NoteE.d.F. HR 32.0320, 1978.

  13. J.F. Maurras, “Good algorithms, old ideas”, manuscript, 1978.

  14. T.S. Motzkin and I.J. Schoenberg, “The relaxation method for linear inequalities”,Canadian Journal of Mathematics 6 (1954) 393–404.

    Google Scholar 

  15. P.D. Seymour, “Decomposition of regular matroids”,Journal of Combinatorial Theory(B) 28 (1980) 305–359.

    Google Scholar 

  16. N.Z. Shor, “Convergence rate of the gradient descent method with dilatation of the space”,Cybernetics 6 (1970) 102–108.

    Google Scholar 

  17. A.F. Veinott, Jr. and G.B. Dantzig, “Integral extreme points”,SIAM Review 10 (1968) 371–372.

    Google Scholar 

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Additional information

The original idea of this paper, first announced in [12], is due to Maurras. The other two authors made a number of improvements, which are now incorporated in the present version. The joint authorship results from a suggestion by Chvátal.

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Maurras, J.F., Truemper, K. & Akgül, M. Polynomial algorithms for a class of linear programs. Mathematical Programming 21, 121–136 (1981). https://doi.org/10.1007/BF01584235

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  • DOI: https://doi.org/10.1007/BF01584235

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