The emergent influence of digital computing in systems modeling and simulation is leading to a rise in the use of discrete mathematical structures for describing models. While it is generally renowned that discrete methods and classical continuous methods both deliver valuable tools for modeling, strong biases exist which depend on the modeling techniques that are traditional within particular disciplines. The choice of a modeling approach occasionally reflects the background of the model builder more strongly than it reflects the character of the problem to be solved.
- Combinatorics and physics
- Discrete event simulation
- Combinatorial optimization
- Discrete mathematical models
- Discrete and computational geometry
- Combinatorics and dynamical systems