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This work analyzes the stability of the Yee scheme for non-stationary Maxwell's equations coupled with a linear current model with density fluctuations.
We present an explicit scheme for a two-dimensional multilayer shallow water model with density stratification, for general meshes and collocated variables.
The relativistic random phase approximation, based on the equivalent point-coupling model with density dependent contact interactions, has been developed and applied in studies of low-energy collective excitations.
The electrical behavior of nanowire device is modeled using the drift-diffusion carrier transport model with density gradient quantization correction and thermal coupling effect [5].
Data on host fitness traits were analyzed using a full factorial ANOVA model, with density and virus doses as fixed factors.
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The unconstrained inversion modeling ran for 8 iterations and resulted in a 3D model with densities in the range from 2.42 to 2.58 g/cm3.
The authors consider inhomogeneous percolation models with density p c+f(x) and examine the forms of f(x) which produce incipient structures.
In d ≥ 3 the limiting finite dimensional distributions converge as t → ∞ to the voter model equilibrium with density 1/λ.
These simulation results were compared with those of scenarios in which individual growth was modelled with density-independent Von Bertalanffy growth curves.
In this study, we compared the performance of the allometric model with wood density variable with traditional model without wood density variable at regional scale, and the model created by Chave et al. (2014), and found the model with wood density variable had better performance than other two models (Figs. 3, 4).
Furthermore, we tested the performance of allometric model with wood density at regional scale and found wood density as an important variable in the allometric models greatly improved the accuracies of AGB estimations in six subtropical forests.
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