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Technical Note—A Look at Finding Points of a Convex Polyhedron Using Relaxation and Subgradient Procedures

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  • Gary J. Koehler

    (University of Florida, Gainesville, Florida)

  • Surya Kumar

    (University of Florida, Gainesville, Florida)

Abstract

Subgradient optimization and relaxation are two of the common approaches to finding a point of a polyhedron when conventional procedures like the simplex method are ruled out due perhaps to the size of the problem. In this note we generalize a useful relaxation procedure and show the equivalence of this new procedure with a well known subgradient method.

Suggested Citation

  • Gary J. Koehler & Surya Kumar, 1980. "Technical Note—A Look at Finding Points of a Convex Polyhedron Using Relaxation and Subgradient Procedures," Operations Research, INFORMS, vol. 28(2), pages 424-430, April.
    • Handle: RePEc:inm:oropre:v:28:y:1980:i:2:p:424-430
    DOI: 10.1287/opre.28.2.424
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