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For all simulation examples, the simulation results are averaged over 105 independent channel realizations.
In the above examples the simulation approaches [ 41],[ 42] range from non-spatial deterministic population-based modeling (ODEs in [ 31],[ 33],[ 34],[ 39]), discrete stochastic ([ 32],[ 35]), via mesoscopic (PDEs in [ 34]) to microscopic techniques (individuals with Brownian motion in [ 38], Browian dynamics in [ 36],[ 37]).
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For example, the simulation systems discussed above are all object-oriented except for NetLogo and StarLogo.
In the last example, the simulation of the cycle iterative convergence in different input SNR scenarios has been made.
As a useful example, the simulation of one type of collision detection model is presented in this paper.
When taking the BYD E6 as an example, the simulation results are shown in Fig. 9a d is the simulation result for Nissan Leaf.
For example, the simulation output might need normalization or scaling before output.
Compare, for example, the simulation results for Norway spruce in Litschau using Moses in Tables 6 8.
If each agent is represented by 60 ODEs, as an example, the simulation will be hardly scalable.
On a network of 16 of our 4 GB RAM iMacs, for example, the simulation size could scale to ~400,000 neurons.
For example, the simulation indicated that tumors in mice model initiated by the sorted CSC population had stronger aggressiveness and proliferation potential comparing to tumors from unsorted cancer cells.
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