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Technical Note—Exact Solutions of Inexact Linear Programs

Author

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  • James E. Falk

    (The George Washington University, Washington, D.C.)

Abstract

We address the problem of solving a linear program whose objective function coefficients are known only to lie in a given convex set. We seek a solution that is optimal against the worst possible realization of the objective function, i.e., a max-min solution. We present optimality criteria that characterize the desired solution and strengthen earlier results due to Soyster. The conditions are computationally implementable.

Suggested Citation

  • James E. Falk, 1976. "Technical Note—Exact Solutions of Inexact Linear Programs," Operations Research, INFORMS, vol. 24(4), pages 783-787, August.
  • Handle: RePEc:inm:oropre:v:24:y:1976:i:4:p:783-787
    DOI: 10.1287/opre.24.4.783
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    Cited by:

    1. Hsien-Chung Wu, 2011. "Duality Theory in Interval-Valued Linear Programming Problems," Journal of Optimization Theory and Applications, Springer, vol. 150(2), pages 298-316, August.
    2. Namakshenas, Mohammad & Mazdeh, Mohammad Mahdavi & Braaksma, Aleida & Heydari, Mehdi, 2023. "Appointment scheduling for medical diagnostic centers considering time-sensitive pharmaceuticals: A dynamic robust optimization approach," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1018-1031.
    3. A. K. Bhurjee & G. Panda, 2016. "Sufficient optimality conditions and duality theory for interval optimization problem," Annals of Operations Research, Springer, vol. 243(1), pages 335-348, August.
    4. H. C. Wu, 2010. "Duality Theory for Optimization Problems with Interval-Valued Objective Functions," Journal of Optimization Theory and Applications, Springer, vol. 144(3), pages 615-628, March.
    5. Gorissen, B.L. & Ben-Tal, A. & Blanc, J.P.C. & den Hertog, D., 2012. "A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets," Other publications TiSEM e4c05682-e13c-4d1a-bc3f-a, Tilburg University, School of Economics and Management.
    6. H. C. Wu, 2008. "Wolfe Duality for Interval-Valued Optimization," Journal of Optimization Theory and Applications, Springer, vol. 138(3), pages 497-509, September.
    7. João Flávio de Freitas Almeida & Samuel Vieira Conceição & Luiz Ricardo Pinto & Ricardo Saraiva de Camargo & Gilberto de Miranda Júnior, 2018. "Flexibility evaluation of multiechelon supply chains," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-27, March.
    8. Bram L. Gorissen & Hans Blanc & Dick den Hertog & Aharon Ben-Tal, 2014. "Technical Note---Deriving Robust and Globalized Robust Solutions of Uncertain Linear Programs with General Convex Uncertainty Sets," Operations Research, INFORMS, vol. 62(3), pages 672-679, June.

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