Mathematical model

description of a system using mathematical concepts and language

A mathematical model is a description of a system using mathematical concepts and language. The process of building 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 (e.g. computer science, artificial intelligence). They are also used in the social sciences (such as economics, psychology, sociology and political science). Physicists, engineers, statisticians, operations research analysts and economists use mathematical models a lot.[1][2]

Mathematical models can take many forms. The types of models include:

These and other types of models can overlap, with a given model involving a variety of abstract structures. Mathematical models can include logical models. In many cases, the quality of a scientific field depends on how well the mathematical models built on theory agree with results of repeatable experiments.[1] When theoretical mathematical models do not match experimental measurements, scientists try to correct the model. Such corrections lead the way to better theories to explain the facts.

More reading

  • Bender, E.A. [ 1978 ] ( 2000 ). An Introduction to Mathematical Modeling, New York : Dover. ISBN 0-486-41180-X
  • Gershenfeld, N., The Nature of Mathematical Modeling, Cambridge University Press, (1998). ISBN 0521570956
  • Yang, X.-S., Mathematical Modelling for Earth Sciences, Dudedin Academic, (2008). ISBN 1903765927
Specific applications

Other websites

General reference material
Philosophical background