Table 2 Parameter setting for comparing the performance of simulation and approximations 2 and the conventional scheme Parameter Setting Number of channels (C) 16 Reserved channels (T) 8 μ H,μ BE,μ nRT 1 λ nRT 1,10 λ H 4,7,10 λ BE i=1,2,…,10.
The results agree well with simulations and approximation calculations.
Simulation results and approximation accuracy are discussed in Section 6, and we conclude in Section 7. Notations: Vectors and matrices are represented, respectively, by lowercase and uppercase boldface.
40, 41 However, protein folding and structure prediction are 'difficult' problems that cannot be solved analytically; much effort goes into simulations and approximations to find the best solution.
We use simulation and analytical approximation to obtain numerical results.
Figure 5 Simulation and Gaussian approximation results for estimating the size of a 4 × 3 block.
The tolerance between the results of the simulation and the approximation model was less than 1% when using the optimal design variables and the weight of the optimized frame was lessened by 22.3% while the minimum fatigue life and maximum static stress were only decreased by 3.8% and 4.6%, compared with the initial frame.
By comparing stochastic simulation of the full model and approximations using the limiting models, we see that the main features of evolution of species numbers are well captured by the limiting models.
Bit error rate (BER) performance is illustrated through both simulation and theoretical approximations.
To better observe the accuracy of the completion time approximations for the preemptive in case of failure service discipline, simulation results and approximations for the moments of the LP packets completion time, X2 and X 2 ∗, are compared in the upper part of Table3.
