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Construction of multivariate polynomial approximation kernels via semidefinite programming

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  • Kirschner, Felix

    (Tilburg University, School of Economics and Management)

  • de Klerk, Etienne

    (Tilburg University, School of Economics and Management)

Abstract

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Suggested Citation

  • Kirschner, Felix & de Klerk, Etienne, 2023. "Construction of multivariate polynomial approximation kernels via semidefinite programming," Other publications TiSEM 9b1d01ec-074f-404f-a8d0-6, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:9b1d01ec-074f-404f-a8d0-6abdc7f0b127
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/75906771/kernels_JournalVersion_final_submission.pdf
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/76625823/22m1494476.pdf
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    References listed on IDEAS

    as
    1. Cordian Riener & Thorsten Theobald & Lina Jansson Andrén & Jean B. Lasserre, 2013. "Exploiting Symmetries in SDP-Relaxations for Polynomial Optimization," Mathematics of Operations Research, INFORMS, vol. 38(1), pages 122-141, February.
    2. de Klerk, E. & Laurent, M., 2010. "Error bounds for some semidefinite programming approaches to polynomial minimization on the hypercube," Other publications TiSEM 619d9658-77df-4b5e-9868-0, Tilburg University, School of Economics and Management.
    3. de Klerk, Etienne & Hess, Roxana & Laurent, Monique, 2017. "Improved convergence rates for Lasserre-type hierarchies of upper bounds for box-constrained polynomial optimization," Other publications TiSEM 66281fb7-02b8-4d87-930b-0, Tilburg University, School of Economics and Management.
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