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文章基本信息

  • 标题:Alternate Iterative Algorithms for Minimization of Non-linear Functions
  • 本地全文:下载
  • 作者:K. Karthikeyan
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2013
  • 卷号:2
  • 期号:10
  • 页码:5321
  • 出版社:S&S Publications
  • 摘要:Numerical Optimization algorithms presents the most effective methods in continuous optimization. Itresponds to the growing interest in optimization in engineering, science, and business by focusing on the methods that arebest suited to practical problems. In this article, we propose some alternative iterative algorithms, with different order ofconvergence for minimization of non-linear functions. Then comparative study among the proposed algorithms andNewton’s algorithm is established by means of examples.
  • 关键词:Non-linear functions; Newton’s method; Ostrowski’s method; Eighth-order Convergence
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