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  • 标题:A Damped Guass-Newton Method for the Generalized Linear Complementarity Problem
  • 本地全文:下载
  • 作者:Huijuan Li ; Houchun Zhou
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2013
  • 卷号:2
  • 期号:4
  • 页码:682
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:In this paper, we consider the generalized linear complementarity problem (GLCP) over an affine subspace. To this end, we first reformulate the GLCP as a system of nonsmooth equation via the Fischer function. Based on this reformulation, the famous damped Gauss-Newton (DGN) algorithm is employed for obtaining its solution, and we show that the DGN algorithm is quadratically convergent without nondegenerate solution. Some numerical experiments of the algorithm are also reported in this paper
  • 关键词:GLCP; DGN algorithm; quadratical convergence
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