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A New Nonconvex quadratic programming Technique: Practical and Fast Solver Method

Author

Listed:
  • Soltani, Ali
  • Tashakor, Behnam

Abstract

There exist many problems that nonconvex which are hard to solve. To overcome the nonconvexity of the problems, this paper presents a novel YALMIP-based nonconvex quadratic programming model to overcome the nonconvex problem. The proposed method is accurate, and no need to convexify the problem. Finally, some results are presented to show the effectiveness and merit of the model.

Suggested Citation

  • Soltani, Ali & Tashakor, Behnam, 2019. "A New Nonconvex quadratic programming Technique: Practical and Fast Solver Method," MPRA Paper 94335, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94335
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    File URL: https://mpra.ub.uni-muenchen.de/94335/1/MPRA_paper_94335.pdf
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    References listed on IDEAS

    as
    1. Ashkaboosi, Maryam & Ashkaboosi, Farnoosh & Nourani, Seyed Mehdi, 2016. "The Interaction of Cybernetics and Contemporary Economic Graphic Art as "Interactive Graphics"," MPRA Paper 72717, University Library of Munich, Germany.
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    More about this item

    Keywords

    Convex optimization; math algorithm; unit commitment;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • A10 - General Economics and Teaching - - General Economics - - - General
    • C0 - Mathematical and Quantitative Methods - - General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • K0 - Law and Economics - - General
    • L0 - Industrial Organization - - General
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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