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Claim

The Optimal Experimental Design Toolbox for MATLAB

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Mar 2015 English Publisher:Zenodo
Authors: Joscha Reimer;
Code repository: https://github.com/jor-/oed/tree/v1.0.3

doi: 10.5281/zenodo.591918 , 10.5281/zenodo.485767 , 10.5281/zenodo.485557 , 10.5281/zenodo.31167 , 10.5281/zenodo.495609 , 10.5281/zenodo.16004 , 10.5281/zenodo.485885

The Optimal Experimental Design Toolbox for MATLAB

Abstract

{"references": ["Reimer, J., Schuerch, M., and Slawig, T.: Optimization of model parameters and experimental designs with the Optimal Experimental Design Toolbox (v1.0) exemplified by sedimentation in salt marshes, Geosci. Model Dev., 8, 791-804, doi:10.5194/gmd-8-791-2015, 2015."]}

The Optimal Experimental Design Toolbox allows to optimize model parameters and corresponding measurement conditions.

Keywords

model calibration, matlab toolbox, optimal experimental design, uncertainty quantification, parameter optimization, parameter estimation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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