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A Comprehensive Input Format for Stochastic Linear Programs

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  • H.I. Gassmann
  • E. Schweitzer

Abstract

Based on the MPS standard for linear programs, data conventions for the description of multistage stochastic linear programs were described by Birge et al. [3]. This paper proposes extensions to the so-called SMPS standard, in order to address known shortcomings and to extend the range of problems that can be expressed within the standard. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • H.I. Gassmann & E. Schweitzer, 2001. "A Comprehensive Input Format for Stochastic Linear Programs," Annals of Operations Research, Springer, vol. 104(1), pages 89-125, April.
    • Handle: RePEc:spr:annopr:v:104:y:2001:i:1:p:89-125:10.1023/a:1013138919445
    DOI: 10.1023/A:1013138919445
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    Cited by:

    1. Blanchot, Xavier & Clautiaux, François & Detienne, Boris & Froger, Aurélien & Ruiz, Manuel, 2023. "The Benders by batch algorithm: Design and stabilization of an enhanced algorithm to solve multicut Benders reformulation of two-stage stochastic programs," European Journal of Operational Research, Elsevier, vol. 309(1), pages 202-216.
    2. J. Thénié & Ch. Delft & J. Vial, 2007. "Automatic Formulation of Stochastic Programs Via an Algebraic Modeling Language," Computational Management Science, Springer, vol. 4(1), pages 17-40, January.
    3. Christian Valente & Gautam Mitra & Mustapha Sadki & Robert Fourer, 2009. "Extending Algebraic Modelling Languages for Stochastic Programming," INFORMS Journal on Computing, INFORMS, vol. 21(1), pages 107-122, February.
    4. Robert Fourer & Leo Lopes, 2009. "StAMPL: A Filtration-Oriented Modeling Tool for Multistage Stochastic Recourse Problems," INFORMS Journal on Computing, INFORMS, vol. 21(2), pages 242-256, May.
    5. R. Fourer & H. Gassmann & J. Ma & R. Martin, 2009. "An XML-based schema for stochastic programs," Annals of Operations Research, Springer, vol. 166(1), pages 313-337, February.
    6. K. A. Ariyawansa & Andrew J. Felt, 2004. "On a New Collection of Stochastic Linear Programming Test Problems," INFORMS Journal on Computing, INFORMS, vol. 16(3), pages 291-299, August.

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