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Research on the discrete models with variable coefficients and delays is very rare.
Computational simulation models with variable fidelity have been widely used in complex systems design.
Wazwaz and Gorguis [3] used the Adomian decomposition method for solving heat-like and wave-like models with variable coefficients.
The queueing models with variable arrival rates of the units can be observed in health care systems.
The models are obtained developing an algorithm for multi-dimensional non-linear models with variable standard deviations.
This lays foundations for sophisticated models with variable dielectric treatments and second-order accurate modeling of solvation interactions.
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Several CFA models with variables from both tests were submitted for evaluation.
This section contained also the global models with variables from all subsections combined (Table 1).
We compared prediction success of habitat models using air photo variables to models with variables derived from finer resolution, ground-sampled vegetation plots.
Nonetheless, new models with variables that can be obtained easily and quickly are needed.
A forward stepwise method was used to identify the best models with variables to a significance level of 5%.
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