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Introduction

  • Roman G. Strongin
  • Yaroslav D. Sergeyev
Chapter
  • 480 Downloads
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 45)

Abstract

As mentioned in the Preface, mathematical problems of minimizing (or maximizing) a function often arise in the world of applications as models of decision making. To gain some insight into this relation, without citing a tedious listing of multiple applications of optimization ideas and techniques as presented in a wide range of publications, we shall start with consideration of one particular simple example of such a minimization problem — the problem of fitting a model to some given observed data.

Keywords

Objective Function Decision Rule Wiener Process Unimodal Function Trial Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Roman G. Strongin
    • 1
  • Yaroslav D. Sergeyev
    • 1
    • 2
  1. 1.Nizhni Novgorod State UniversityNizhni NovgorodRussia
  2. 2.Institute of Systems Analysis and Information TechnologyUniversity of CalabriaRendeItaly

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