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First- and Second-Order Optimality Conditions for Quadratically Constrained Quadratic Programming Problems

Author

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  • Fabián Flores-Bazán

    (Universidad de Concepción)

  • Giandomenico Mastroeni

    (University of Pisa)

Abstract

We consider a quadratic programming problem with quadratic cone constraints and an additional geometric constraint. Under suitable assumptions, we establish necessary and sufficient conditions for optimality of a KKT point and, in particular, we characterize optimality by using strong duality as a regularity condition. We consider in details the case where the feasible set is defined by two quadratic equality constraints and, finally, we analyse simultaneous diagonalizable quadratic problems, where the Hessian matrices of the involved quadratic functions are all diagonalizable by means of the same orthonormal matrix.

Suggested Citation

  • Fabián Flores-Bazán & Giandomenico Mastroeni, 2022. "First- and Second-Order Optimality Conditions for Quadratically Constrained Quadratic Programming Problems," Journal of Optimization Theory and Applications, Springer, vol. 193(1), pages 118-138, June.
    • Handle: RePEc:spr:joptap:v:193:y:2022:i:1:d:10.1007_s10957-022-02022-1
    DOI: 10.1007/s10957-022-02022-1
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    References listed on IDEAS

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    1. Immanuel M. Bomze & Vaithilingam Jeyakumar & Guoyin Li, 2018. "Extended trust-region problems with one or two balls: exact copositive and Lagrangian relaxations," Journal of Global Optimization, Springer, vol. 71(3), pages 551-569, July.
    2. V. Jeyakumar & Guoyin Li, 2011. "Regularized Lagrangian duality for linearly constrained quadratic optimization and trust-region problems," Journal of Global Optimization, Springer, vol. 49(1), pages 1-14, January.
    3. G. Mastroeni, 2010. "Some applications of the image space analysis to the duality theory for constrained extremum problems," Journal of Global Optimization, Springer, vol. 46(4), pages 603-614, April.
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