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首页> 外文期刊>Journal of Mathematical Sciences >STUDY OF A SPECIAL NONLINEAR PROBLEM ARISING IN CONVEX SEMI-INFINITE PROGRAMMING
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STUDY OF A SPECIAL NONLINEAR PROBLEM ARISING IN CONVEX SEMI-INFINITE PROGRAMMING

机译:凸半无限规划中特殊非线性问题的研究

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摘要

We consider convex problems of semi-infinite programming (SIP) using an approach based on the implicit optimality criterion. This criterion allows one to replace optimality conditions for a feasible solution x~0 of the convex SIP problem by such conditions for x~0 in some nonlinear programming (NLP) problem denoted by NLP(/(x~0)). This nonlinear problem, constructed on the base of special characteristics of the original SIP problem, so-called immobile indices and their immobility orders, has a special structure and a diversity of important properties. We study these properties and use them to obtain efficient explicit optimality conditions for the problem NLP(I(x~0)). Application of these conditions, together with the implicit optimality criterion, gives new efficient optimality conditions for convex SIP problems. Special attention is paid to SIP problems whose constraints do not satisfy the Slater condition and to problems with analytic constraint functions for which we obtain optimality conditions in the form of a criterion. Comparison with some known optimality conditions for convex SIP is provided.
机译:我们使用基于隐式最优性准则的方法来考虑半无限规划(SIP)的凸问题。该准则允许用某些以NLP(/(x〜0))表示的非线性规划(NLP)问题中的x〜0的条件来代替凸SIP问题的可行解x〜0的最优条件。基于原始SIP问题的特殊特征(所谓的不动指数及其不动顺序)构建的非线性问题具有特殊的结构和多种重要特性。我们研究了这些性质,并使用它们来获得问题NLP(I(x〜0))的有效显式最优性条件。这些条件以及隐式最优准则的应用为凸SIP问题提供了新的有效最优条件。特别注意那些约束不满足Slater条件的SIP问题以及具有解析约束函数的问题,对于这些问题我们以准则的形式获得最优条件。提供了与凸SIP的一些已知最佳条件的比较。

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  • 来源
    《Journal of Mathematical Sciences》 |2009年第6期|878-893|共16页
  • 作者单位

    Belorussian Academy of Sciences, Institute of Mathematics, Minsk, Belarus;

    Department of Mathematics, University of Aveiro, Aveiro, Portugal;

    Belorussian State University of Informatics and Radio-electronics, Minsk, Belarus;

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