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General Quadratic Programming and Its Applications in Response Surface Analysis

In: Optimization and Optimal Control

Author

Listed:
  • Rentsen Enkhbat

    (National University of Mongolia)

  • Yadam Bazarsad

    (Mongolian University of Science and Technology)

Abstract

Summary In this chapter, we consider the response surface problems that are formulated as the general quadratic programming. The general quadratic programming is split into convex quadratic maximization, convex quadratic minimization, and indefinite quadratic programming. Based on optimality conditions, we propose finite algorithms for solving those problems. As application, some real practical problems arising in the response surface, one of the main part of design of experiment, have been solved numerically by the algorithms.

Suggested Citation

  • Rentsen Enkhbat & Yadam Bazarsad, 2010. "General Quadratic Programming and Its Applications in Response Surface Analysis," Springer Optimization and Its Applications, in: Altannar Chinchuluun & Panos M. Pardalos & Rentsen Enkhbat & Ider Tseveendorj (ed.), Optimization and Optimal Control, pages 121-137, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-89496-6_6
    DOI: 10.1007/978-0-387-89496-6_6
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    Cited by:

    1. Mohand Bentobache & Mohamed Telli & Abdelkader Mokhtari, 2022. "New LP-based local and global algorithms for continuous and mixed-integer nonconvex quadratic programming," Journal of Global Optimization, Springer, vol. 82(4), pages 659-689, April.

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