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Partitioning procedure for polynomial optimization

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  • Polyxeni-Margarita Kleniati
  • Panos Parpas
  • Berç Rustem

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  • Polyxeni-Margarita Kleniati & Panos Parpas & Berç Rustem, 2010. "Partitioning procedure for polynomial optimization," Journal of Global Optimization, Springer, vol. 48(4), pages 549-567, December.
    • Handle: RePEc:spr:jglopt:v:48:y:2010:i:4:p:549-567
    DOI: 10.1007/s10898-010-9529-5
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    References listed on IDEAS

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    1. P. M. Kleniati & Panos Parpas & Berc Rustem, 2009. "Decomposition-Based Method for Sparse Semidefinite Relaxations of Polynomial Optimization Problems," Working Papers 022, COMISEF.
    2. TIND, Jorgen & WOLSEY, Laurence A., 1981. "An elementary survey of general duality theory in mathematical programming," LIDAM Reprints CORE 474, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Laurent, M., 2009. "Sums of squares, moment matrices and optimization over polynomials," Other publications TiSEM 9fef820b-69d2-43f2-a501-e, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Faizan Ahmed & Georg Still, 2021. "Two methods for the maximization of homogeneous polynomials over the simplex," Computational Optimization and Applications, Springer, vol. 80(2), pages 523-548, November.
    2. Andries Steenkamp, 2023. "Convex scalarizations of the mean-variance-skewness-kurtosis problem in portfolio selection," Papers 2302.10573, arXiv.org.
    3. Xiaolong Kuang & Bissan Ghaddar & Joe Naoum-Sawaya & Luis F. Zuluaga, 2019. "Alternative SDP and SOCP approximations for polynomial optimization," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 7(2), pages 153-175, June.

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