Researched Sensitivity Analysis:
Intro into sensitivity Analysis , by Lucia Breierova and Mark Choudhari...
Content:
Examples / Tutorial on how to do sensitivity analysis on data ( No examples related to our work)
Learned:
Sensitivity investigates the robustness of a study when the study includes some form of math modelling. Sensitivity allows the modeller to determine what level of accuracy is needed for a parameter to make the model sufficiently useful and valid. When the parameter is insensitive in the model , making an estimation is a good idea.
With Systems Dynamic models the k parameter doesn't affect the behaviour of the graph . The shape of the graph stays the same .
Matlab Programing:
Looked into the effect of changing the kinetic constants on the graph. This resulted in no change in the behavior of the graph as predicted by the paper. The max/min/ steepness of the graphs changed as a result of changing k values. The change of some k values effected the steepness of the lines very much while changing the value of other k values didn't change the steepeness all that much.
Also looked into the effect of changing the initial concentration of the species . This completely changed the behavior of the graphs.
Looked into sensitivity analysis with simbiology interface . Still trying to work out some kinks.
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