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Mathematical modeling is the art of capturing natural phenomenon of real life in the mathematical equation. For example the reading of bike speedometer shows 70 km/hr. There are ways through which we can develop a mathematical model. The process for developing a mathematical model is as follows:
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4. Comparing the data obtained as predictions with real data. If the data are different, the process is restarted.
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Discrete model: A discrete model treats objects as discrete, such as the particles in a molecular model. A clock is an example of discrete model because the clock skips to the next event start time as the simulation proceeds.

Continuous Model: A continuous model represents the objects in a continuous manner, such as the velocity field of fluid in pipe or channels, temperatures and electric field. Although there are some limitations of mathematical modeling. Till today many mathematical modeling have been developed and applied successfully to understand and get an insight into thousands of situations. Sone of the subjects like mathematical physics, mathematical economics, operation research etc are synonyms with mathematical modeling.
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