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  • 标题:Hybrid Steepest-Descent Methods for Solving Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators
  • 本地全文:下载
  • 作者:Songnian He ; Xiao-Lan Liang
  • 期刊名称:Fixed Point Theory and Applications
  • 印刷版ISSN:1687-1820
  • 电子版ISSN:1687-1812
  • 出版年度:2010
  • 卷号:2010
  • DOI:10.1155/2010/673932
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    Let H be a real Hilbert space and let F : H → H be a boundedly Lipschitzian and strongly monotone operator. We design three hybrid steepest descent algorithms for solving variational inequality V I ( C , F ) of finding a point x ∗ ∈ C such that 〈 F x ∗ , x − x ∗ 〉 ≥ 0 , for all x ∈ C , where C is the set of fixed points of a strict pseudocontraction, or the set of common fixed points of finite strict pseudocontractions. Strong convergence of the algorithms is proved.

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