Interval Arithmetic Based Optimization in Nonlinear Regression

  • Authors:
  • Antanas Žilinskas;Julius Žilinskas

  • Affiliations:
  • Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: antanasz@ktl.mii.lt, julius.zilinskas@mii.lt;Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: antanasz@ktl.mii.lt, julius.zilinskas@mii.lt

  • Venue:
  • Informatica
  • Year:
  • 2010

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Abstract

The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper applicability of global optimization algorithms to this problem is investigated with the focus on interval arithmetic based algorithms.