Mathematical Programming

, Volume 19, Issue 1, pp 213–219 | Cite as

Computational complexity of parametric linear programming

  • Katta G. Murty


We establish that in the worst case, the computational effort required for solving a parametric linear program is not bounded above by a polynomial in the size of the problem.

Key words

Parametric Linear Program Computational Complexity Worst Case Behavior Exponential Growth 


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  1. [1]
    G.B. Dantzig,Linear programming and extensions (Princeton University Press, Princeton, NJ, 1963).Google Scholar
  2. [2]
    S.I. Gass,Linear programming: Methods and applications, 4th Edition (McGraw-Hill, New York, 1975).Google Scholar
  3. [3]
    K.G. Murty,Linear and combinatorial programming (Wiley, New York, 1976).Google Scholar
  4. [4]
    K.G. Murty, “Computational complexity of complementary pivot methods”,Mathematical Programming Study 7 (1978) 61–73.Google Scholar

Copyright information

© The Mathematical Programming Society 1980

Authors and Affiliations

  • Katta G. Murty
    • 1
  1. 1.The University of MichiganAnn ArborUSA

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