数学季刊 ›› 2007, Vol. 22 ›› Issue (1): 131-136.

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D.C.优化的最速下降法的收敛性

  

  1. 1.Science School,Foshan University,Foshan 528000,China; 2.Department of Applied Mathematics,Dalian University of Technology,Dalian 116024,China
  • 收稿日期:2004-02-18 出版日期:2007-03-30 发布日期:2023-11-16
  • 作者简介:SONG Chun-ling(1977-),female,native of Shenyang,Liaoning,Ph.D.,a lecturer of Foshan University,engages in nonsmooth optimization;XIA Zun-quan(1937-),male,native of Shenyang,Liaoning,a professor of Dalian University of Technology,engages in nonsmooth optimization.
  • 基金资助:
     Supported by the State Foundations of Ph.D.Units(20020141013); Supported by the NSF of China(10001007);

The Convergence of the Steepest Descent Algorithm for D.C.Optimization

  1. 1.Science School,Foshan University,Foshan 528000,China; 2.Department of Applied Mathematics,Dalian University of Technology,Dalian 116024,China
  • Received:2004-02-18 Online:2007-03-30 Published:2023-11-16
  • About author:SONG Chun-ling(1977-),female,native of Shenyang,Liaoning,Ph.D.,a lecturer of Foshan University,engages in nonsmooth optimization;XIA Zun-quan(1937-),male,native of Shenyang,Liaoning,a professor of Dalian University of Technology,engages in nonsmooth optimization.
  • Supported by:
     Supported by the State Foundations of Ph.D.Units(20020141013); Supported by the NSF of China(10001007);

摘要: Some properties of a class of quasi-differentiable functions(the difference of two finite convex functions) are considered in this paper.And the convergence of the steepest descent algorithm for unconstrained and constrained quasi-differentiable programming is proved.

关键词: nonsmooth , optimization, D.C.optimization, upper , semi-continuous, lower sermi-continuous, steepest descent algorithin, convergence

Abstract: Some properties of a class of quasi-differentiable functions(the difference of two finite convex functions) are considered in this paper.And the convergence of the steepest descent algorithm for unconstrained and constrained quasi-differentiable programming is proved.

Key words: nonsmooth , optimization, D.C.optimization, upper , semi-continuous, lower sermi-continuous, steepest descent algorithin, convergence

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