https://mintoc.de/index.php?action=history&feed=atom&title=Category%3AOptimum_Experimental_DesignCategory:Optimum Experimental Design - Revision history2026-06-09T11:43:14ZRevision history for this page on the wikiMediaWiki 1.43.1https://mintoc.de/index.php?title=Category:Optimum_Experimental_Design&diff=696&oldid=prevSebastianSager: Initial setup2012-08-31T07:17:30Z<p>Initial setup</p>
<p><b>New page</b></p><div>This category contains all control problems for which the underlying mathematical model describes an optimum experimental design (OED) problem.<br />
The task in OED problems is to determine controls and sampling decisions (when to measure) that yield an experimental setting with favorable properties.<br />
One usually strives to minimize a function of the covariance matrix that describes the uncertainty in a follow-up parameter estimation problem. This powerful methodology allows thus to reduce the number of cumbersome experiments to aquire data.<br />
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== Extensions ==<br />
* The differential equations might depend on [[:Category:State dependent switches | state-dependent switches]].<br />
* The variables may include [[:Category:Boolean variables | boolean variables]].<br />
* The underlying process might be a [[:Category:Multistage process | multistage process]].<br />
* The dynamics might be [[:Category:Unstable | unstable]].<br />
* There might be an underlying [[:Category:Network topology | network topology]].<br />
* The sampling decisions (when to measure) are usually (re)formulated by means of an [[:Category:Outer convexification|outer convexification]].<br />
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[[Category:Model characterization]]</div>SebastianSager