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The sampling characteristics are investigated by accounting for random networks and evenly spaced networks.
Figure 3a shows the average time to reach consensus for random networks where each group member has the same number k of connections (i.e. social partners).
For random networks a hybrid alternative, combining the effective medium and correlated random walk theories, is formulated and found to compare better with simulation results.
Results demonstrate that steps of longest-path attacks increase with network density linearly for random networks, while exponentially increasing for scale-free networks.
The usual effective diffusivity representation is rigorously justified upon passing to the continuum limit of the concentration field, and it is demonstrated that for random networks the resulting tortuosity is a process parameter dependent (weakly) on temperature, pressure and the diffusing species, and not a porous medium property alone.
VIII for random networks.
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It is illustrated by simulations and practical experiments that the networked predictive control scheme can compensate for random network communication delay and data dropout, achieve desired control performance and have good closed-loop stability.
Equation (13) is for random network coding.
NeMo reveals a new regime for random network transmissions.
For random network, we generate random networks with nodes in a cube and set Tr to.
For random network, Figs. 7, 8 and 9 show the networks for varying number of nodes.
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