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Bi-parametric optimal partition invariancy sensitivity analysis in linear optimization

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Abstract

In bi-parametric linear optimization (LO), perturbation occurs in both the right-hand-side and the objective function data with different parameters. In this paper, the bi-parametric LO problem is considered and we are interested in identifying the regions where the optimal partitions are invariant. These regions are referred to as invariancy regions. It is proved that invariancy regions are separated by vertical and horizontal lines and generate a mesh-like area. It is proved that the boundaries of these regions can be identified in polynomial time. The behavior of the optimal value function on these regions is investigated too.

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References

  • Adler I and Monteiro R (1992). A geomertic view of parametric linear programing. Algorithmica 8: 161–176

    Article  Google Scholar 

  • Dantzig GB (1963). Linear programming and extensions. Princeton University Press, Princeton

    Google Scholar 

  • Gal T and Greenberg HJ (1997). Advances in sensitivity analysis and parametric programming. Kluwer, London

    Google Scholar 

  • Ghaffari-Hadigheh A, Romanko O and Terlaky T (2007). Sensitivity analysis in convex quadratic optimization: simultaneous perturbation of the objective and right-hand-side vectors. Algoritmic Oper Res 2: 94–111

    Google Scholar 

  • Goldman AJ and Tucker AW (1956). Theory of linear programming. In: Kuhn, HW and Tucker, AW (eds) Linear inequalities and related systems annals of mathematical studies 38. pp 63–97. Princeton University Press, Princeton

    Google Scholar 

  • Guddat J, Vasquez FG, Tammer K and Wendler K (1985). Multiobjective and stochastic optimization based on parametric optimization. Akademie, Berlin

    Google Scholar 

  • Güler O and Ye Y (1993). Convergence behavior of interior-point algorithms. Math Program 60(2): 215–228

    Article  Google Scholar 

  • Hollatz H and Weinert H (1971). Ein Algorithums zur Lösung des doppelt-einparametrischen linearen Optimierungsproblems. Math Oper Stat 2: 181–197

    Google Scholar 

  • Illés T, Peng J, Roos C and Terlaky T (2000). A strongly polynomial rounding procedure yielding a maximally complementary solution for P *(κ) linear complementarity problems. SIAM J Optim 11(2): 320–340

    Article  Google Scholar 

  • Jansen B, Roos C, Terlaky T (1984) An interior point approach to postoptimal and parametric analysis in linear programming, Report No. 92-90, Faculty of Technical Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands

  • Karmarkar NK (1984). A new polynomial-time algorithm for linear programming. Combinatorica 4: 375–395

    Article  Google Scholar 

  • Mehrotra S and Ye Y (1993). Finding an interior-point in the optimal face of linear programs. Math Program 62(3): 497–515

    Article  Google Scholar 

  • Nožička F (1972). Über eine Klasse von linearen einparametrischen Optimierungsproblemen. Math Oper Stat 3: 159–194

    Google Scholar 

  • Nožička F, Guddat J, Hollatz H and Bank B (1974). Theorie der linearen parametrischen optimierung. Akademie, Berlin

    Google Scholar 

  • Roos C, Terlaky T and Vial J-Ph (2005). Interior point algorithms for linear optimization. Springer, Boston

    Google Scholar 

  • Weinert H (1970). Doppelt-einparametrische lineare Optimierung. I: Unabhängige Parameter. Math Optim Stat 1: 173–197

    Google Scholar 

  • Ye Y (1992). On the finite convergence of interior-point algorithms for linear programming. Math Program 57(2): 325–335

    Article  Google Scholar 

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Correspondence to Alireza Ghaffari-Hadigheh.

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Ghaffari-Hadigheh, A., Ghaffari-Hadigheh, H. & Terlaky, T. Bi-parametric optimal partition invariancy sensitivity analysis in linear optimization. cent.eur.j.oper.res. 16, 215–238 (2008). https://doi.org/10.1007/s10100-007-0054-7

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  • DOI: https://doi.org/10.1007/s10100-007-0054-7

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