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Unformatted text preview: ctly which aspects of the system do you wish to understand or predict, and how accurately do you need to do it? A picture of the key factors involved in the system and how they relate to each other. This often requires taking a greatly simplified view of the system, neglecting factors known to influence the system, and making assumptions which may or may not be correct. Thus, Mathematical modelling is an iterative process which involves interdisciplinary interactions. It is an art as well as a science. The art aspect deals with the intuition required at various stages, which scientific aspect deals with the precise translation and use of mathematical tools to get solution of the problem. Our process can be briefly described as follows: 1. Make general observations of phenomena, 2. Formulate a hypothesis, 3. Develop a method to test hypothesis, 4. Obtain data, 5. Test hypothesis against data, 6. Attempt to confirm or deny hypothesis. It results in asking the questions like – Why? Why modelling? What is the goa...
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This document was uploaded on 01/25/2014.
- Winter '14