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A Lagrange Multiplier Method for Certain Constrained Min-Max Problems

Author

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  • Edward S. Pearsall

    (Wayne State University, Detroit, Michigan)

Abstract

Constrained min-max problems are constant-sum, two-person games in which the maximizing player enjoys the advantage of moving last and both players select allocations subject to separate constraints on their use of resources. This paper presents a Lagrange multiplier method for addressing such problems where the maximizing player is permitted to mix strategies probabilistically. We derive conditions under which the method will locate optimal solutions and discuss suitable applications. A simple ABM/shelter deployment problem is solved to illustrate the essential features of the method.

Suggested Citation

  • Edward S. Pearsall, 1976. "A Lagrange Multiplier Method for Certain Constrained Min-Max Problems," Operations Research, INFORMS, vol. 24(1), pages 70-91, February.
  • Handle: RePEc:inm:oropre:v:24:y:1976:i:1:p:70-91
    DOI: 10.1287/opre.24.1.70
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    Cited by:

    1. George E. Monahan, 1996. "Finding saddle points on polyhedra: Solving certain continuous minimax problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(6), pages 821-837, September.

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