… a discrete dynamic simulation method for complex multi-parameter control systems consisting
… developing a hierarchical state diagrams (HSD) to model complex systems. They simplify …

… This chapter has described network analysis and discrete dynamic modeling primarily in the
context of cell signaling pathways. It is important to note that this method is not limited to cell …

… crucial for building reliable ground models of complex system requirements. To this end,
practical needs call for an agile formalization approach, one that allows to model a system as is, …

… From the discussion above, we may conclude that PMs are capable of simulate complex
systems of quite different nature on different scales and to different resolution. Meanwhile, it is …

… state class dynamic modeling and control of the complex system with statistical trajectory.
Firstly, a novel discrete-time nonlinear working state class dynamic mathematical model of …

… insight into complex stationary states of discrete dynamic systems. More specifically, it is
possible to compare the discrete half-trajectories of (0-1) to those of Lehmer's recurrence …

… models is the ease and speed of simulating the models with digital computers, as compared
with continuous dynamical models. Discrete models are sometimes advantageous, even in …

… which is able to describe the time evolution of the system without the requirement for kinetic
… concepts of discrete dynamic modeling, particularly focusing on Boolean dynamic models. …

… take part in the debate concerning models and their implications, … complex systems described
by these models. So it is desirable that some basic knowledge of mathematical modeling …

… In conclusion, Harrod's model is no more optimistic then the classic dynamic model. Either
the economy becomes unhealthy because i(n)s(n) or the economy grows exponentially until it …