On convex relaxations in nonconvex optimization

Tapio Westerlund, Tapio, Andreas Lundell, Andreas, Westerlund, Joakim

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    Abstract

    Convex relaxations play an important role in many areas, especially in optimization and particularly in global optimization. In this paper we will consider some special, but fundamental, issues related to convex relaxation techniques in constrained nonconvex optimization. We will especially consider optimization problems including nonconvex inequality constraints and their relaxations. Finally, we will illustrate the results by a problem connected to N-dimensional allocation.
    Original languageUndefined/Unknown
    Pages (from-to)331–336
    Number of pages6
    JournalChemical Engineering Transactions
    Volume24
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA1 Journal article-refereed

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