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Intelligent techniques for simulation and modelling

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journal contribution
posted on 06.12.2017, 00:00 authored by Wanwu GuoWanwu Guo, CC Hung, Ross ShepherdRoss Shepherd, Z Ma, S Kulkarni
An engineering or a scientific problem is often based on some physical natures. To solve such a problem, we need to formulate the problem as a mathematical model in terms of variables, functions, and equations. The process of creating such a model, solving it, and interpreting the result in physical, chemical, geometric, engineering, or other terms is modelling. Such a model is likely comprised of a number of unknown factors, such as temporal and spatial constraints. By varying one or more of these unknown factors within the limits, different outcomes can be generated from the mathematical model and/or solution. These outcomes correlate to different physical, chemical, geometric, engineering scenarios. This model-based iterative mathematical computation is simulation. Modelling and simulation are two different but closely related approaches in many disciplines.

History

Issue

2014

Start Page

1

End Page

3

Number of Pages

3

eISSN

1563-5147

ISSN

1024-123X

Location

United States

Publisher

Hindawi Publishing Corporation

Language

en-aus

Peer Reviewed

No

Open Access

No

External Author Affiliations

Dongbei shi fan da xue (China); School of Engineering and Technology (2013- ); Southern Polytechnic State University; TBA Research Institute; University of Ballarat;

Era Eligible

No

Journal

Mathematical problems in engineering.