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Reliability of Linear Programming Software: An Experience with the IBM Mathematical Programming System Series

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  • Thomas F. Tice
  • Marilyn G. Kletke

Abstract

Results of this study raise serious questions concerning the reliability of a widely used commercial linear programming package. Three versions of IBM linear programming software were considered in the study: MPSX, MPS/360,and MPSX/370. Repeated solution of a large linear programming problem using MPSX yielded different objective function values. All solutions were found to be nonoptimal when compared to the dual solution. When the same problem was solved repeatedly using MPS/360or MPSX/370, the optimal solution was obtained each time. Users of the IBM MPSX linear programming package should consider alternative linear programming software.

Suggested Citation

  • Thomas F. Tice & Marilyn G. Kletke, 1984. "Reliability of Linear Programming Software: An Experience with the IBM Mathematical Programming System Series," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 104-107.
    • Handle: RePEc:oup:ajagec:v:66:y:1984:i:1:p:104-107.
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    File URL: http://hdl.handle.net/10.2307/1240622
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    Cited by:

    1. Pannell, David J. & Kingwell, Ross S. & Schilizzi, Steven, 1996. "Debugging Mathematical Programming Models: Principles and Practical Strategies," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(01), pages 1-15, April.
    2. Oluwarotimi O. Odeh & Allen M. Featherstone & Jason S. Bergtold, 2010. "Reliability of Statistical Software," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1472-1489.

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