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Identifying Redundant Constraints and Implicit Equalities in Systems of Linear Constraints

Author

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  • Jan Telgen

    (Rabobank Nederland, Zeist, The Netherlands)

Abstract

Redundant constraints are constraints that can be omitted from a system of linear constraints without changing the feasible region. Implicit equalities are inequality constraints that can be replaced by equalities without changing the feasible region. We prove some theorems concerning the identification of both kinds of constraints. Based on these theorems two methods are developed that allow identification of all redundant constraints and all implicit equalities. Computational experience on small problems indicates a behavior at least competitive with other methods in this field.

Suggested Citation

  • Jan Telgen, 1983. "Identifying Redundant Constraints and Implicit Equalities in Systems of Linear Constraints," Management Science, INFORMS, vol. 29(10), pages 1209-1222, October.
  • Handle: RePEc:inm:ormnsc:v:29:y:1983:i:10:p:1209-1222
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    File URL: http://dx.doi.org/10.1287/mnsc.29.10.1209
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    Cited by:

    1. Caron, Richard J. & Obuchowska, Wieslawa T., 1996. "Quadratically constrained convex quadratic programmes: faulty feasible regions," European Journal of Operational Research, Elsevier, vol. 94(1), pages 134-142, October.
    2. Obuchowska, Wieslawa T., 1998. "Infeasibility analysis for systems of quadratic convex inequalities," European Journal of Operational Research, Elsevier, vol. 107(3), pages 633-643, June.
    3. Mo, S.H. & Norton, J.P., 1990. "Fast and robust algorithm to compute exact polytope parameter bounds," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(5), pages 481-493.
    4. Freixas, Josep & Kaniovski, Serguei, 2014. "The minimum sum representation as an index of voting power," European Journal of Operational Research, Elsevier, vol. 233(3), pages 739-748.

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    Keywords

    programming: linear;

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