Description of a System behavior in response to the parameters to which the system is sensitive to (see Fig. 1).
Modern Models are usually implemented in the form of a computer software which provides interface to:
Supply the Model Inputs | → | Initiate a Model Run | → | Retrieve the Model Outputs |
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Fig. 1. Schematic of Model's components, including Model Inputs, Model Outputs and Model Solver |
It normally follows the Model Description Protocol:
Motivation | Explains the reasons why a Model may come in need |
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Inputs | A list of System properties which Model takes as input |
Outputs | A list of System properties which Model simulates based on the Model Inputs |
Model Proposition | A list of assumptions/constraints which have been put into the Model |
Model Mathematics | Definition of the Model using mathematical concepts and mathematical language |
Model Solver | Description of the solution algorithm to the Mathematical Model |
Approximations | Simplified solver(s) for rough estimations and fast track analysis of a System's behavior |
Model Matching | Description of algorithm of matching the Model to the training data |
Applications | A list of popular Model applications and limitations |
Examples (Cases) | A list of practical cases showing Model functionality and usefulness and limitations |
A System may have many Models depending on which System properties are taken as Model Inputs and Model Outputs.
See also
[ Model Solver ] [ Model Run ]
[ Analytical Model ][ Numerical Model ]