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Quadratic programming applications

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  • McCarl, Bruce A
  • Moskowitz, Herbert
  • Furtan, Hartley

Abstract

Although quadratic programming (QP) is often studied as a methodology by decision scientists, little emphasis seems to be given to the type of decision science problems that can be so modeled. This paper reviews and extends some of the applied and methodological areas where QP is applicable, discussing and illustrating the characteristics and aspects of the accompanying solutions. Some of the methodological areas amenable include regression analysis, decision analysis, and quadratic approximations to generally complex functions. In the functional management areas, QP is applicable to problems in economics, such as demand-supply response and enterprise selection. In finance, it is used in portfolio analysis; in agriculture, in crop selection. Both the methodological and functional applications of QP are reviewed. Potential new applications of QP are suggested.

Suggested Citation

  • McCarl, Bruce A & Moskowitz, Herbert & Furtan, Hartley, 1977. "Quadratic programming applications," Omega, Elsevier, vol. 5(1), pages 43-55.
    • Handle: RePEc:eee:jomega:v:5:y:1977:i:1:p:43-55
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    Cited by:

    1. Li, Dong & Nagurney, Anna & Yu, Min, 2018. "Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products," Omega, Elsevier, vol. 81(C), pages 150-168.
    2. Chavez, M.D. & Berentsen, P.B.M. & Oude Lansink, A.G.J.M., 2014. "Analyzing diversification possibilities on specialized tobacco farms in Argentina using a bio-economic farm model," Agricultural Systems, Elsevier, vol. 128(C), pages 35-43.
    3. R. Cambini & R. Riccardi & D. Scopelliti, 2023. "Solving linear multiplicative programs via branch-and-bound: a computational experience," Computational Management Science, Springer, vol. 20(1), pages 1-32, December.

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