Mathematical Modeling

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dc.contributor.author Livshits, Irene
dc.contributor.author Coleman, Neal
dc.date.accessioned 2020-09-04T17:41:44Z
dc.date.available 2020-09-04T17:41:44Z
dc.date.issued 2008
dc.identifier.citation Livshits, I., & Coleman, N. (2008). Mathematical Modeling. Mathematics Exchange, 5(1), 30-32. en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/123456789/202338
dc.description Article published in Mathematics Exchange, 5(1), 2008. en_US
dc.description.abstract Mathematical modeling is a scientific attempt to describe real life phenomena using mathematical tools. Each model consists of a set of variable parameters and rules of evolution for these parameters. By applying these rules to the model’s parameters, one can learn a lot about the phenomenon in question, and, based on the results, make informed decisions, predict the future, or make the optimal choice between different options. Many mathematical models are implemented on computers; their simulations can run in a matter of minutes, or even seconds, often replacing real life experiments that consume vast amounts of time and resources. Mathematical modeling is widely applied in a variety of fields, ranging from medicine to engineering, from physics to physiology, from economy to image processing. It is essential to almost every science. There is a great variety of mathematical models; the following are some of the main categories. en_US
dc.title Mathematical Modeling en_US
dc.type Article en_US


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