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When R = 2(N − 1), the two-step solution fully determines the model rates, for any number of states, with no need for additional constraints.
In terms of this dependence relation one can define a dimension for the model, and what remains of the model outside the core is so closely tied to the core that the dimension determines the model up to isomorphism.
The evolutionary data assimilation (EDA) method uses multi-objective evolutionary strategy to continuously evolve ensemble of model states and parameter sets where it adaptively determines the model error and the penalty function for different assimilation time steps.
Shrinkage regression requires selecting a degree of shrinkage that determines the model size.
That is, one determines the model parameters (for example, kinetic constants in a biochemical model) to obtain the most plausible model given the data.
Given the relatively small differences found between models in our study, differences in computational demands may be an important factor that determines the model of choice in practical applications.
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Hence, the highest order Legendre polynomial determines the modeling order.
Existing research and program history was used to determine the model architecture and determinant variables.
The modeling approach involved independent laboratory-scale experiments to determine the model input parameters.
Next, determine the model distance to Alpha Centauri (actual distance is 4.03964E+13 km).
They used many kinds of data to determine the model, including the speed at which seismic waves travel through different portions of the mantle.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com