Types Of Computer Models

What are the types of computer models? A computer model is a simple imitation version of the real product which is due to be achieved. Therefore this implies that models can be used to develop ideas about an actual situation without indulging into some very complex and dangerous situations.

It is very important to have a mental model of situations so as to have the real experience of the product with the prevailing conditions. With these various types of computer models it is possible to allow interaction with events that would rather be too expensive, slow, dangerous, fast or difficult in the real world.
There are different types of computer models and are categorized depending on the number of attributes which includes: deterministic or stochastic, deterministic simulations (dynamic or static), discrete or continuous and distributed or local.

There are also other methods of classifying computer models whereby you observe the underlying structure of data.
Simulators based on the time step have two classes: Here simulations in which the data is stored in grids that are regular and only the immediate neighbour can access is the stencil codes. Most of CFD applications are slotted into this category. When the grid is not regular the mode might have mesh free method. These show the relationship between different types of elements to the modelled structure or system and establish the state of equilibrium in the system. These types of computer models are commonly used to simulate physical systems in a much simpler modelling situation before moving to dynamic simulation.

Dynamic simulations model system experience changes as a result of the correspondence in the input signals, whereas stochastic model try to model a random or chance events by using numbers randomly generated and this is;

Discrete Event Simulation

It timely manages events. The fault free and logic test simulations are the type used in most computers. Here the simulator has a queue of occasions maintained while being sorted out in the order they are presented or occur by the simulated time.

When each event is processed, the simulators read out the queue and trigger new events. It is very vital to retrieve the data of the simulations to be able to identify the logic defects about the design.

The continuous dynamic types of computer models simulation are capable of generating numerical solutions to either partial or ordinary differential equations. The simulation programs solve or can find solutions for all kind of equations and numbers are to result changes in the output and state to the situation. These applications are in constructions and flight simulators, processes of chemical modelling and electrical circuit modelling.

In the early times, these simulations were implemented in analogue computers, where the ordinary differential equation was just directly represented by electrical elements like the op-amps. After advancement in technology, a unique form of discrete simulation which never depended on the underlying equations to model was developed on it is the agent-based simulation. In this type of simulation based on types of computer models, each entity in various models is directly represented.

Distributed types of computer models run on interconnected computer network and most probably across the internet.