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Quadratic Programming with a Quasiconvex Objective Function

Author

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  • Béla Martos

    (Institute of Economics, Hungarian Academy of Sciences, Budapest, Hungary)

Abstract

This paper gives both necessary and sufficient conditions for a quadratic function to be quasiconvex in the nonnegative orthant. Methods of pseudoconvex programming (such as those of Frank and Wolfe) can solve linearly constrained quadratic programming problems with such an objective function.

Suggested Citation

  • Béla Martos, 1971. "Quadratic Programming with a Quasiconvex Objective Function," Operations Research, INFORMS, vol. 19(1), pages 87-97, February.
    • Handle: RePEc:inm:oropre:v:19:y:1971:i:1:p:87-97
    DOI: 10.1287/opre.19.1.87
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    Cited by:

    1. Vsevolod Ivanov, 2010. "On a theorem due to Crouzeix and Ferland," Journal of Global Optimization, Springer, vol. 46(1), pages 31-47, January.

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