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Canonical duality for solving nonconvex and nonsmooth optimization problem

机译:求解非凸和非光滑优化问题的规范对偶

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摘要

This paper presents an application of the canonical duality theory for solving a class of nonconvex and nonsmooth optimization problems. It is shown that by use of the canonical dual transformation, these difficult optimization problems in R~n can be converted into a one-dimensional canonical dual problems, which can be solved to obtain all extremal points. Both global and local extremality conditions can be identified by the triality theory. Applications are illustrated.
机译:本文提出了规范对偶理论在解决一类非凸和非光滑优化问题中的应用。结果表明,通过使用典范对偶变换,可以将R_n中这些困难的优化问题转化为一维典范对偶问题,并可以求解得到所有极值点。普遍性理论可以识别全球和局部极端情况。说明了应用程序。

著录项

  • 来源
    《Optimization and Engineering》 |2009年第2期|153-165|共13页
  • 作者

    Jing Liu; David Y. Gao; Yan Gao;

  • 作者单位

    Department of Mathematics and Physics, Wuyi University, Jiangmen, Guangdong, 529020, People's Republic of China;

    Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA;

    School of Management, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, 200093, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    canonical duality theory; nonsmooth optimization; global optimization;

    机译:典型对偶理论;非平滑优化;全局优化;

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