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The aim of this paper is to complement the previous models generating a generalized one-dimensional model.
Combined with the use of nonlinear models, generating a Pareto front can be difficult to achieve reliably.
Ockam's Razor has been extensively used in classical mechanics models generating a cascade of models of increasing complexity.
We present here a generic framework for combined sensitivity analysis, parameter identifiability analysis, parameter fitting and model reduction, which can be applied to all types of deterministic models generating a set of outputs from a set of input parameters.
As future work we will develop and analyze different snapshot selection criteria to further reduce the dimension of the FFR models, generating a much more refined RFFR while still maintaining the explicit flexibility of the receptor.
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Higher end sports models generate a 30-35 percent gross margin for the company.
The existing models generated a large amount of scattered data, which predicted an under or overestimation of shear capacity.
Composite index models generate a single index, such as the ecological footprint [5] or the green gross national product.
Debates about the best mentoring models generate a myriad of possibilities, but very few institutions develop programs that are successful over the long-term.
Two user-developed models generate a volumetric distribution of the mass sources and energy sinks within the packed bed region.
These input-output models generate a multiplier index that measures the total effect of an increase in investment on employment or income.
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