Difference between revisions of "Mathematical model"

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== See also ==
 
== See also ==
  
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* [[Agent-based model]]
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* [[Cliodynamics]]
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* [[Computer simulation]]
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* [[Conceptual model]]
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* [[Decision engineering]]
 
* [[Differential equation]]
 
* [[Differential equation]]
 
* [[Dynamical systems]]
 
* [[Dynamical systems]]
 
* [[Game theory]]
 
* [[Game theory]]
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* [[Grey box model]]
 
* [[Logical model]]
 
* [[Logical model]]
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* [[Mathematical biology]]
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* [[Mathematical diagram]]
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* [[Mathematical psychology]]
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* [[Mathematical sociology]]
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* [[Mathematical theory]]
 
* [[Mathematics]]
 
* [[Mathematics]]
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* [[Microscale and macroscale models]]
 
* [[Model]]
 
* [[Model]]
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* [[Model inversion]]
 
* [[Statistical model]]
 
* [[Statistical model]]
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* [[System identification]]
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* [[TK Solver]] - Rule Based Modeling
  
 
== External links ==
 
== External links ==

Latest revision as of 10:02, 16 October 2016

A mathematical model is a description of a system using mathematical concepts and language.

Description

The process of developing a mathematical model is termed mathematical modeling.

Mathematical models are used in the natural sciences (such as physics, biology, earth science, meteorology) and engineering disciplines (such as computer science, artificial intelligence), as well as in the social sciences (such as economics, psychology, sociology, political science).

Physicists, engineers, statisticians, operations research analysts, and economists use mathematical models most extensively.

A model may help to explain a system and to study the effects of different components, and to make predictions about behaviour.

Forms of mathematical model

Mathematical models can take many forms, including but not limited to:

These and other types of models can overlap, with a given model involving a variety of abstract structures.

Logical models

In general, mathematical models may include logical models.

In many cases, the quality of a scientific field depends on how well the mathematical models developed on the theoretical side agree with results of repeatable experiments.

Theory versus practice

Lack of agreement between theoretical mathematical models and experimental measurements often leads to important advances as better theories are developed.

See also

External links