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文章基本信息

  • 标题:Gradient projection method for convex function and strongly convex set *
  • 本地全文:下载
  • 作者:Maxim O. Golubev
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:25
  • 页码:202-205
  • DOI:10.1016/j.ifacol.2015.11.085
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe consider the standard gradient projection algorithm. Using the Lipschitz continuity of the metric projection operator we obtain some results concerning the rate of convergence for the gradient projection algorithm with differentiable convex (not necessary strongly convex) function and strongly convex set.
  • 关键词:KeywordsGradient methodsstrongly convex setsmetric projection
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