Methods of Optimum Search

  • Lassi Hyvärinen
Part of the Lecture Notes in Operations Research and Mathematical Systems book series (LNE, volume 19)


Often when optimizing (improving) the performance of a process we are in a position where the objective function F = F(yi) can be defined in terms of the performance variables each of which is also measurable at any given moment of time. That is, we are able to evaluate F at all times. It may be, however, that the model relating the dependent performance variables to the controllable variables yi = yi(xj) is not known.


Response Surface Affine Transformation Optimum Search Steep Ascent Accessible Domain 
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-Verlag Berlin · Heidelberg 1970

Authors and Affiliations

  • Lassi Hyvärinen
    • 1
  1. 1.IBM-European Systems Research InstituteGenevaSwitzerland

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