Sentence examples for model reduction analysis from inspiring English sources

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When performing a model reduction analysis it is indispensable to determine beforehand which properties of the system are to be maintained in the simplified model.

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Several tools for linear model manipulation, model-order reduction, analysis, and the design/synthesis of control systems, developed using Mathematica, are presented.

Performed the optimization, model reduction and analysis: CO.

We show next, in Section " Tropical equilibrations and model reductions", that analysis of tropical equations provide the conditions for the asymptotic validity of quasi-stationarity and quasi-equilibrium approximations and also the exhaustive list of asymptotic regimes.

A re-run of the full model and item reduction analysis on the non-imputed dataset (N = 217) resulted in somewhat less favourable but still acceptable fit indices and comparable factor loadings.

Finally, it should be noted that the utility of this collection goes beyond parameter estimation: the models provided here can also be used for benchmarking methods for optimal experimental design, identifiability analysis, sensitivity analysis, model reduction, and in the case of metabolic models also for metabolic engineering purposes.

Model reduction and detailed system analysis have been undertaken to examine the main properties of this enzyme reaction system.

This method involves partial homogenization of the reservoir model based on the model reduction pattern obtained from analysis of the sensitivity matrix.

However, the size of the problem is now significantly larger and for computationally efficient stability analysis, model reduction is necessary.

It has the characteristic that all factors are interdependent due to the convention that the total sum of the mixture components has to sum to 100% or 1. Model reduction: Process of model analysis and evaluation to reach a reduced model that describes the significant effects on the response.

Emphasis is on modeling methodology concepts, including model network structure, kinetic rate expressions, parameter estimation, optimization methods, identifiability analysis, model reduction, and model validation, but several applications of kinetic models for the improvement of cell factories are also discussed.

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