Sentence examples for model complexity have from inspiring English sources

Previous attempts to reduce model complexity have used a separation between ecological and evolutionary timescales, assuming either that evolutionary dynamics are much slower than ecological dynamics23, or the reverse, that evolutionary dynamics are more rapid17,21.

If sample size is fixed, approaches for reducing model complexity have to be used.

Varying degrees of model complexity have been introduced, and are assessed through agreement with experiment for properties such as pKas, the pH-dependence of folding energy, and mutational effects.

On the other hand, it is not always economical nor feasible to use the most sophisticated models for a range of different applications, such as process and equipment design, the determination of optimal operating policies, model-based control, etc., and the model complexity has to be adapted to the purpose.

Different mathematical model complexities have been studied and parameter sensitivity analyses have been performed.

For example, models with increasing complexity have been proposed to describe the fate of mastitis-causing E. coli in infected cows [ 23, 24].

In this paper, simulations with the IAP RAS climate model of intermediate complexity have been performed to study temporal variations of the climate-carbon cycle feedback parameter.

The collapsing was performed because model complexity would have greatly increased if the ICF categories had been used as categorical variables with 5 and 9 response options, respectively, and for each response option, interaction with time would have to have been separately considered.

Based on this framework, four size-discrete non-linear models with varying complexity have been derived.

Models of different complexity have been used.

To create a theoretical basis for these technologies, analytically based computer models of various complexity have been developed.