In the modeling of the system, the functional and dysfunctional aspects coexist and the dynamic approach using the Stochastic Activity Network (SAN) is proposed to overcome the difficulties mentioned above.
This paper investigates the almost sure synchronization control problem for a class of stochastic delayed complex networks by using the stochastic differential equation theory and the Kronecker product technique.
In [12], the effect of base station density on the energy efficiency of relay-assisted cellular networks is investigated using the stochastic geometry model.
After the network and perturbation data were generated, the expression data was generated using GeneNetWeaver, using the stochastic differential equation model and otherwise using the default settings.
Unfortunately, it is computationally unfeasible at the moment to use the stochastic modeling strategy or the delayed stochastic modeling strategy [ 16] for gene networks of large size and complexity, thus, we opted for the Boolean approach.
"I use the stochastic oscillator for that.
Using utility-based stochastic network optimization [22, Chapter 5], and dual decomposition, optimal solution was provided for data admission into the network, and an iterative distributed algorithm was proposed for reaching the optimal resource allocation.
Here we present such a single-cell level stochastic model and demonstrate its predictive power by using the GAL network in S. cerevisiae.
The investigation on sexual partnership and effective management of sex partners motivates us to explore the use of stochastic network models (e.g., [ 5, 32]), which provides added flexibility in modeling sexual partnership networks of complex structure.
In addition, the model incorporates cell division with the doubling time of cells being 30 ± 4 min. Averages are computed from 100 independent trajectories using the Hybrid Stochastic Algorithm (Hy3S) for each network of reactions (see Methods section).
