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As per available reports about 11 relevant journals , 13 <http: www.conferenceseries.com="" "=""> relevant Conferences , 150 workshops are presently dedicated exclusively to Mathematical Model and about 2,070 articles are being published on Mathematical Model.
Mathematical Model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used not only in the natural sciences such as physics, biology, earth science, meteorology and engineering disciplines but also in the social sciences such as economics, psychology, sociology and 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.
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Scope and Importance:
A mathematical model is an abstract model that uses mathematical language to describe the behaviour of a system. Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theoretic models. There are six basic groups of variables: decision variables, input variables, state variables, exogenous variables, random variables, and output variables.
Mathematical modeling problems are often classified into black box or white box models, according to how much a priori information on the system is available. A black-box model is a system of which there is no a priori information available. A white-box model (also called glass box or clear box) is a system where all necessary information is available. The white-box models are usually considered easier, because if you have used the information correctly, then the model will behave correctly. In black-box models one tries to estimate both the functional form of relations between variables and the numerical parameters in those functions. Assessing the scope of a model, that is, determining what situations the model is applicable to, can be less straightforward. If the model was constructed based on a set of data, one must determine for which systems or situations the known data is a "typical" set of data.
National symposium and workshops provide participants with an advanced or updated review of major research issues in the specified fields of mathematical modeling and their applications in the business markets, in technical and industrial areas drawing on leading experiences worldwide. Workshop will provide a compact overview of mathematical modeling through presentations from mathematicians, an exposition of working by students and others, and an opportunity for hands-on experience in mathematical modeling. Around 30 conferences, National symposiums and Workshops are going to be held across the globe. There are around 75 societies related to mathematics.
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This page was last updated on 14th Sep, 2015
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