Numerical Methods for Nonlinear Experimental Design

Stefan Körkel () and Ekaterina Kostina ()
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Stefan Körkel: University of Heidelberg, Interdisciplinary Center for Scientific Computing
Ekaterina Kostina: University of Heidelberg, Interdisciplinary Center for Scientific Computing

A chapter in Modeling, Simulation and Optimization of Complex Processes, 2005, pp 255-272 from Springer

Abstract: Summary Nonlinear experimental design leads to a challenging class of optimization problems which occur in the procedure of the validation of process models. This paper discusses the formulation of such problems for a general class of underlying process models, presents numerical methods for the solution and shows their successful application to industrial processes.

Keywords: experimental design; parameter estimation; variance-covariance matrix; multiple experiments; nonlinear constrained optimization (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27170-3_20

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DOI: 10.1007/3-540-27170-8_20

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