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文章基本信息

  • 标题:StochasticModels For Global Optimization Using Newton’sMethod
  • 本地全文:下载
  • 作者:Siska Candra Ningsih ; Yosza Dasril
  • 期刊名称:Statistika
  • 印刷版ISSN:1411-5891
  • 出版年度:2005
  • 卷号:5
  • 期号:2
  • 页码:1-1
  • DOI:10.29313/jstat.v5i2.920
  • 出版社:Universitas Islam Bandung
  • 摘要:This paper will discuss the randomness and normality tests of the data collected by splitting the interval [a,b] into several subintervals [xi,xi 1] (i = 0, ..., n-1) with x0 = a and xn = b for verifying that the optimization problem constitutes a Wiener process. Furthermore, the data can be used to evaluate the efficiency of probabilistic algorithm as proposed in this paper in determining the best subinterval to be explored by Newton’s method for searching the optimal point of global optimization problem.
  • 关键词:Optimization;Wiener Process;Probabilistic;Newton’s Method
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