求解凸可行问题的有效算法
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  • 英文篇名:An effective algorithm for convex feasibility problem
  • 作者:宋林森
  • 英文作者:SONG Linsen;School of Mathematical Sciences,Henan Institute of Science and Technology;
  • 关键词:凸分析 ; 非光滑优化 ; 次微分 ; 束方法
  • 英文关键词:nonsmooth optimization;;subgradient;;bundle method;;convex feasibility problem
  • 中文刊名:HZXB
  • 英文刊名:Journal of Henan Institute of Science and Technology(Natural Science Edition)
  • 机构:河南科技学院数学科学学院;
  • 出版日期:2019-07-09 09:15
  • 出版单位:河南科技学院学报(自然科学版)
  • 年:2019
  • 期:v.47;No.170
  • 基金:河南省高等学校重点科研项目(19A110016)
  • 语种:中文;
  • 页:HZXB201903010
  • 页数:5
  • CN:03
  • ISSN:41-1417/N
  • 分类号:63-67
摘要
将束方法与信赖域技巧相结合,提出了求解凸可行问题的有效算法,得出了算法的全局收敛性结果.数值实验结果表明:与已有算法相比,该算法具有较高的运算效率和精度,在求解凸可行问题时是行之有效的.
        By combining the bundle method with the trust region technique,an effective algorithm was proposed for solving the convex feasible problem.The global convergence result of the algorithm was also obtained.Compared with some existed algorithms,the present algorithm is valid and has faster convergence speed.
引文
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