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A simple circuital example is shown where the simulation of threshold voltage recovery is crucial for circuit design.
The same happens in cases where the simulation of street canyons requires a large number of reflections.
Anisotropies occur naturally in computational fluid dynamics where the simulation of small-scale physical phenomena, such as boundary layers at high Reynolds numbers, causes the grid to be highly stretched, leading to a slowdown in convergence of multigrid methods.
The dynamic-spatial behavior of the nutrient species (oxygen) and the primary extra-cellular matrix product (GAG) are quantitatively described through the proposed model where the simulation of cell proliferation and its distribution within the polymeric scaffold is improved with respect to the existing literature by properly taking into account suitable population balances.
In an industrial context where the simulation of the products behavior has become impossible to circumvent, it rises the question of the knowledge necessary to the realization of these simulations and of the knowledge to be transmitted within the framework of the initial training and the adult continuing education to the simulation of product behavior.
Due to its object oriented design, the presented framework is very flexible and easily extensible and can be used for various engineering applications (e.g. prediction of rainfall-induced landslides, water and solute transport in agricultural soils), where the simulation of variably saturated flow is crucial.
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Her jarring designs look like tribal masks from a geometric, color-saturated future, but her influences are the ideas of parallel shamanic lands and the concept of hyperreality, where reality and the simulation of reality are indistinguishable.
The performance of the proposed technique was verified via computer simulations, where the simulation round consists of 1000 single-target locations randomly chosen from the area of 1000×1000 m2, where each target location is tested in 100 trials.
We apply the SCM for our problem, since this strategy represents a non-intrusive approach, where the codes for the simulation of the deterministic case can be reused in the stochastic case.
The effective coupling of AMR techniques and the subgrid model significantly reduces the error of the numerical predictions to 5 15% in conditions where the full simulation of the problem is out of current computational capabilities.
This is numerically demonstrated in Figures 3 and 4, where we have again considered the simulation of a mobile fading channel under isotropic scattering conditions.
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