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Introduction

  • Klaus Schittkowski
Part of the Applied Optimization book series (APOP, volume 77)

Abstract

Parameter estimation plays an important role in natural science, engineering, and many other disciplines. The key idea is to estimate unknown parameters p 1, ..., p n of a mathematical model that describes a real life situation, by minimizing the distance of some known experimental data from theoretically predicted values of a model function at certain time values. Thus, model parameters that cannot be measured directly can be identified by a least squares fit and analyzed subsequently in a quantitative way.

Keywords

Sequential Quadratic Programming Distillation Column Differential Algebraic Equation Automatic Differentiation Parameter Estimation Problem 
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 2002

Authors and Affiliations

  • Klaus Schittkowski
    • 1
  1. 1.Department of MathematicsUniversity of BayreuthBayreuthGermany

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