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LINEAR PROGRAMMING PROBLEMS WITH FUNDAMENTAL CUT MATRICES

Yıl 2018, Cilt: 36 Sayı: 3, 835 - 848, 01.09.2018

Öz

In the paper, we consider a linear programming problem with con-straint matrices whose rows are 0, 1 characteristics vectors of fundamental cuts in a given undirected graph G = (V, E). We prove that the simplex algorithm finds an optimal solution in at most m-n+1 (m = |E|, n = |V|) iterations. We also consider the question whether a given binary matrix is a 0, 1 characteristic vector of fundamental cuts in the graph G.

Kaynakça

  • [1] C. Berge: Balanced matrices and property (G), Mathematical Programming Studies 12 (1980), 163-175.
  • [2] K.H. Borgwardt: The simplex method: A probabilistic Analysis, Algorithms and Combinatorics 1, Springer-Verlag, (1987).
  • [3] F. Fritzsche and F.B. Holt: More polytope meeting the conjectured Hirsch bound, Discrete Math., 205 (1999), 77-84.
  • [4] M.X. Goemans and D.P. Williamson: A General Approximation Technique for Constrained Forest Problems, SIAM Journal on Computing, 24:2 (1995), 296-317.
  • [5] T.C. Hu: Optimum communication spanning trees, SIAM Journal on Computing, 3:3 (1974), 188-195.
  • [6] M. Kaufmann and D. Wagner: Drawing Graphs: Methods and Models, Springer, (2001).
  • [7] V. Klee and G.J. Minty: How good is the simplex algorithm?, Inequalities-III, Academic Press, New York (1972), 159-175.
  • [8] K.V. Marintseva, F.A. Sharifov, G.N. Yun: A problem of airport capacity definition, Aeronautic, 5 (2013), 1-13.
  • [9] J. Oxley: Matroid theory, Oxford University Press, 2nd Ed., New York, (2011).
  • [10] Schrijver A.: Combinatorial optimization: Polyhedra and efficiency in Algorithms and Combinatorics, Spinger-Verlag, Berlin, Heidelberg, 24, (2003).
  • [11] F.A. Sharifov and L. Hulianytskyi: Models and Complexity of Problems of Design and Reconstruction of Telecommunication and Transport Systems, Cybernetics and Systems Analysis, 50:5 (2014), 693-700.
  • [12] P.D. Seymour: Decomposition of Regular Matroids, Journal of Combinatorial Theory, Series B, 28:3 (1980), 305-359.
  • [13] M.J. Todd: Polynomial expected behaviour of a pivoting algorithm for linear complementarity and linear programming problems, Technical Report No. 595, School of Operations Research and Industrial Engineering, Cornell University, (Ithaca, NY, November 1983), Mathematical Programming, 35 (1986), 173-192.
  • [14] K. Truemper: Matroid Decomposition, Academic Press, (1992).
Yıl 2018, Cilt: 36 Sayı: 3, 835 - 848, 01.09.2018

Öz

Kaynakça

  • [1] C. Berge: Balanced matrices and property (G), Mathematical Programming Studies 12 (1980), 163-175.
  • [2] K.H. Borgwardt: The simplex method: A probabilistic Analysis, Algorithms and Combinatorics 1, Springer-Verlag, (1987).
  • [3] F. Fritzsche and F.B. Holt: More polytope meeting the conjectured Hirsch bound, Discrete Math., 205 (1999), 77-84.
  • [4] M.X. Goemans and D.P. Williamson: A General Approximation Technique for Constrained Forest Problems, SIAM Journal on Computing, 24:2 (1995), 296-317.
  • [5] T.C. Hu: Optimum communication spanning trees, SIAM Journal on Computing, 3:3 (1974), 188-195.
  • [6] M. Kaufmann and D. Wagner: Drawing Graphs: Methods and Models, Springer, (2001).
  • [7] V. Klee and G.J. Minty: How good is the simplex algorithm?, Inequalities-III, Academic Press, New York (1972), 159-175.
  • [8] K.V. Marintseva, F.A. Sharifov, G.N. Yun: A problem of airport capacity definition, Aeronautic, 5 (2013), 1-13.
  • [9] J. Oxley: Matroid theory, Oxford University Press, 2nd Ed., New York, (2011).
  • [10] Schrijver A.: Combinatorial optimization: Polyhedra and efficiency in Algorithms and Combinatorics, Spinger-Verlag, Berlin, Heidelberg, 24, (2003).
  • [11] F.A. Sharifov and L. Hulianytskyi: Models and Complexity of Problems of Design and Reconstruction of Telecommunication and Transport Systems, Cybernetics and Systems Analysis, 50:5 (2014), 693-700.
  • [12] P.D. Seymour: Decomposition of Regular Matroids, Journal of Combinatorial Theory, Series B, 28:3 (1980), 305-359.
  • [13] M.J. Todd: Polynomial expected behaviour of a pivoting algorithm for linear complementarity and linear programming problems, Technical Report No. 595, School of Operations Research and Industrial Engineering, Cornell University, (Ithaca, NY, November 1983), Mathematical Programming, 35 (1986), 173-192.
  • [14] K. Truemper: Matroid Decomposition, Academic Press, (1992).
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Firdovsi Sharıfov Bu kişi benim 0000-0001-8768-3649

Hakan Kutucu Bu kişi benim 0000-0001-7144-7246

Yayımlanma Tarihi 1 Eylül 2018
Gönderilme Tarihi 5 Nisan 2017
Yayımlandığı Sayı Yıl 2018 Cilt: 36 Sayı: 3

Kaynak Göster

Vancouver Sharıfov F, Kutucu H. LINEAR PROGRAMMING PROBLEMS WITH FUNDAMENTAL CUT MATRICES. SIGMA. 2018;36(3):835-48.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/