While such informal representations can be useful, a model must meet certain expectations for it to be considered within the scope of modeling and simulation for SE.
Modeling and simulation are used to study systems. A system is defined as the collection of entities that make up the facility or process of interest. To facilitate experimentation and assessment of a system, a repre, sentation- called a model-is constructed.
Discrete-event simulation: Modeling of a system as it evolves over time by a representation where the state variables change instantaneously at separated points in time
Key Modeling and Simulation Definitions There are a number of definitions of models, simulations, and modeling and simulation (M&S). For the purposes of this tutorial, we will adopt the definitions published by the U.S. Department of Defense (DoD), below.
Recently, modelling and simulation has been slated to become the computing paradigm of the future. As a paradigm, it is a way of representing problems and thinking about them, as much as a solution method. The problems span the analysis and design of complex dynamical systems.
A Linear Programming model, a Mixed Integer Linear Programming model and a nonlinear optimization model are examples of prescriptive models. When solved, these models provide a description of the solution as optimal, suboptimal, feasible, infeasible, etc.
