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Parameter estimation and optimum experimental design for differential equation models

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This article reviews state-of-the-art methods for parameter estimation and optimum experimental design in optimization based modeling. For the calibration of differential equation models for nonlinear processes, constrained parameter estimation problems are considered. For their solution, numerical...

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Bibliographic Details
Main Authors: Bock, Hans Georg (Author) , Körkel, Stefan (Author) , Schlöder, Johannes P. (Author)
Format: Chapter/Article Conference Paper
Language:English
Published: 2013
In: Model Based Parameter Estimation
Year: 2012, Pages: 1-30
DOI:10.1007/978-3-642-30367-8_1
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Online Access:Verlag, Volltext: http://dx.doi.org/10.1007/978-3-642-30367-8_1
Verlag, Volltext: https://link.springer.com/chapter/10.1007/978-3-642-30367-8_1
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Author Notes:Hans Georg Bock, Stefan Körkel and Johannes P. Schlöder
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Parameter estimation and optimum experimental design for differential equation models by Bock, Hans Georg (Author) , Körkel, Stefan (Author) , Schlöder, Johannes P. (Author) ,


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Chapter/Article Conference Paper

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