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  • 标题:New Variants of Newton’s Method for Nonlinear Unconstrained Optimization Problems
  • 本地全文:下载
  • 作者:V. KANWAR ; Kapil K. SHARMA ; Ramandeep BEHL
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2010
  • 卷号:2
  • 期号:1
  • 页码:40-45
  • DOI:10.4236/iim.2010.21005
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we propose new variants of Newton’s method based on quadrature formula and power mean for solving nonlinear unconstrained optimization problems. It is proved that the order of convergence of the proposed family is three. Numerical comparisons are made to show the performance of the presented methods. Furthermore, numerical experiments demonstrate that the logarithmic mean Newton’s method outperform the classical Newton’s and other variants of Newton’s method. MSC: 65H05.
  • 关键词:unconstrained optimization; Newton’s method; order of convergence; power means; initial guess
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