Sentence examples for performance of approximations from inspiring English sources

The parameters of the numerical analysis for comparing the performance of approximations 1 and 2 are presented in Table 1. Figure 2a,b shows the results in 3D graphs.

Table 1 Parameter setting in numerical analysis for comparing the performance of approximations 1 and 2 Parameter Setting Number of channels (C) 12 Reserved channels (T) 4 μ H,μ BE,μ nRT 1 λ nRT 0.5 λ H 0.5×i, i=1,2,…,10 λ BE 0.5×i, i=1,2,…,10 Figure 2 CBP and CDP performance of system approximations 1 and 2 for a system with C=12, T=6, and λ nRT=0.5.(a) CBP and (b) CDP.

By simulation we estimate the performance of normal approximations, which, via the identity link, are special cases of our approach, and for common link functions such as the log.

In the simulation section, we compare the performance of both approximations.

Additionally, several simulations were carried out to analyze the performance of block unblock approximations in recovering the phase, using the simulated diffraction patterns.

In practice, however, one is interested in the performance of these approximations not only when x is fixed and n→∞, but also when n is fixed (at some moderate value) and x varies.

We characterize the performance of sparse approximation applied to the estimation problem addressed herein in terms of the minimum number of states that need to be observed to achieve an accurate estimate of the cost-to-go function.

The performance of the approximation techniques is examined as well.

The performance of our approximation is superior to that of existing methods.

Numerical and simulation results demonstrate the near optimal performance of the approximation approach.

In contrast, we examine online learning and we provide a detailed analysis to assess the performance of sparse approximation applied to Markov models of wireless networks.