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  • 标题:Newton’s method: sufficient conditions for practical and input-to-state stability ⁎
  • 本地全文:下载
  • 作者:Giuseppe G. Colabufo ; Peter M. Dower ; Iman Shames
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:6334-6339
  • DOI:10.1016/j.ifacol.2020.12.1764
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractNewton’s method is a classical iterative algorithm for the numerical computation of isolated roots of algebraic equations and stationary points of functions. While its application is ubiquitous in a plethora of fields, questions concerning its robust stability to uncertainties in problem data and numerical accuracy often arise in practice. This paper seeks to provide sufficient conditions for practical stability, input-to-state-stability (ISS), integral ISS (iISS) and incremental ISS (δISS) of Newton’s method in the presence of such uncertainties, and provide illustrative examples of their application.
  • 关键词:KeywordsNumerical methodsNewton’s methodrobust stabilityinput-to-state stability (ISS)integral ISS (iISS)incremental ISS (δISS)
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