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The parameter spectrum width and the variability of solutions are useful measures for the search process of MAR.
To test whether the search by the two-step method becomes saturated or covers the entire solution space, we investigated the convergence of the parameters spectrum width and the variability of solutions (VarS) (Equations 3, 7, Figure S1).
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New criteria, parameter spectrum width and the variability of solution vectors for parameters, are introduced to determine whether the search is exhaustive.
The acceptance criteria were arbitrary values chosen to define a number of possible model solutions that can be used to characterize the variability of model solutions given the uncertainty in measured tracer concentrations.
Because of the biochemical constraints (variability of the solutions of Krebs-Henselheit), each day of experimentation required a control animal.
To assess the variability of the solutions we ran 10 repetitions for each single FDR step.
What is the variability of the solutions with default lower/upper boundaries (say, of 0/1000 (irreversible case)) for the diffusion fluxes?
In the next step, the variability of optimal solution with parameter uncertainty for each design is captured.
Experimental variability of a solution of changing particle size was described by performing five (5) replicates (A, B, C, D, & E) of Weimarn sol formation (Experiment set #1).
The approach is based on the idea of High Dimensional Model Representation technique which utilize a reduced number of model runs to build an uncertainty propagation model that expresses the variability of optimal solution in the uncertain space.
In this paper, the variability of SEA solution under uncertain SEA parameters (coupling loss factors, internal loss factors and injected powers) is investigated by comparing a sensitivity approach and a design of experiment (DoE) approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com