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It is found that, among these models, the differential scheme provides the best fit of the numerical data.
Surrounded by the indicated models, the differential equation models describe the rate of change in the concentration of gene production, such as mRNAs and proteins, as constant values, whereas the other models do not have such a basis.
In these models, the differential equations model has obvious advantages, for example, the differential equations model is more accurate than the Boolean model in describing GRNs, and it has less computational complexity than the Bayesian model.
Due to the complex, multidimensional and constrained nature of the dynamic simulation models, the differential evolution (DE), which has been proven effective in evolutionary computation (EC), was used for optimization purpose.
In both models, the differential diagnosis for the acidosis includes renal tubular acidosis, diarrhea losses, pancreatic fluid losses, anion exchange resins, and total parenteral nutrition (Tables 2 and 3).
The relative effectiveness of random HIV screening and contact tracing was analyzed by Hyman et al. [ 37] using two differential equation models: the differential infectivity model and the staged-progression model.
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Distinct kinds of computational models have been applied to propagate the behaviors of GRNs; see, for instance, the Bayesian network models, the Petri net models, the Boolean models, and the differential equation models.
In order to model the differential ionosphere, its autocorrelation function is analysed.
To obtain a space-time-discrete model, the differential operators are approximated by finite differences, see Figure 1.
With the help of a dynamic mathematical model, the differential pressure across the waterwall in a PFBC (pressurized fluidized bed combustion) boiler is analyzed under abnormal conditions.
In order to formulate the proposed NLP optimisation model the differential equations are discretised using a first order backward finite difference scheme.
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