Comparisons with analytical models demonstrate the accuracy of the method.
The results of the analytical model demonstrate the ability to cool a space in 40°C desert climate to comfort conditions.
This permitted the model parameters to be identified and, by doing that, studies using the analytical model demonstrated the merit of this hybrid application.
Sensitivity analysis of this analytical model demonstrate that the fracture complexity indicator increases with injection time, injection rate and elastic modulus, while decreases with the height of fractures.
The tractability and reasonable accuracy of the analytical model demonstrated by extensive simulation experiments make it a practical and cost-effective evaluation tool to investigate network performance with various alternative design solutions and under different operating conditions.
Extensive simulations validate the analytical model, demonstrating excellent agreement with the theoretical results.
Finally, we present numerical results to validate the proposed analytical model, demonstrate the impacts of different parameters on the throughput performance, and show the usefulness of the model in designing fair channel sharing for the considered heterogeneous environment.
The linear decision analytical model demonstrated that for all-grade and for grade 3 4 adverse events, management costs per patient were higher for sunitinib than for bevacizumab plus IFN in the United Kingdom, Germany and France (Mickisch et al, 2008).
Through analytical modeling, we demonstrate that by assigning appropriate different attempt probabilities (or contention window sizes) to stations of different classes, it is feasible to provide (proportional) service differentiation and achieve pre-specified targeted throughput ratios among different classes, while at the same time, maximizing the total system capacity.
Both FEA and the analytical models well demonstrate that the movement of the stage is purely translational.
A hand-calculation procedure is proposed to obtain the solution to the analytical model, and demonstrated in a case of a 40-storey building with a fire located at the 1st floor.
