Articles | Volume 8, issue 3
Model experiment description paper
25 Mar 2015
Model experiment description paper |  | 25 Mar 2015

Optimization of model parameters and experimental designs with the Optimal Experimental Design Toolbox (v1.0) exemplified by sedimentation in salt marshes

J. Reimer, M. Schuerch, and T. Slawig

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Cited articles

Amemiya, T.: Nonlinear regression models, Handbook of econometrics, 1, 333–389, 1983.
Bartholdy, J. and Aagaard, T.: Storm surge effects on a back-barrier tidal flat of the Danish Wadden Sea, Geo-Mar. Lett., 20, 133–141,, 2001.
Broyden, C. G.: The Convergence of a Class of Double-rank Minimization Algorithms: 2. The New Algorithm, IMA J. Appl. Math., 6, 222–231,, 1970.
Burt, T.: Field Settling Velocities of Estuary Muds, in: Estuarine Cohesive Sediment Dynamics, edited by: Mehta, A., Vol. 14 of Lecture Notes on Coastal and Estuarine Studies, 126–150, Springer New York,, 1986.
Coleman, T. F. and Li, Y.: On the convergence of reflective Newton methods for large-scale nonlinear minimization subject to bounds, Math. Program., 67, 189–224, 1994.

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Short summary
Model parameters are usually optimized based on measurements. These measurements are often time-consuming or costly. The conditions under which theses measurements are carried out, also called experimental designs, can be optimized so that with minimum effort and cost a maximum accuracy can be achieved. For this, we present different approaches together with their implementation in an MATLAB toolbox. We demonstrate their application to different models for sedimentation in salt marshes.