# modelling in physical

Post on 16-Aug-2015

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1. 1. MATHEMATICAL MODELING PHYSICAL By: Fabin Flor A.
2. 2. Definition Is a mathematical procedure that identifies a set of values consisting of: state variables, constants and parameters; which aims at presenting the state of a physical phenomenon being studied allowing you to see how a model works when there are changes in the variables.
3. 3. 1. Analyze the problem. The goal is to create our mental model through data system, which we obtain and study to identify their behavior. Then we must endeavor to simplify the phenomenon as possible to obtain a feasible adequate mathematical formulation to solve. If possible it is convenient to divide the model into sub models coupled replace the original model.
4. 4. 2. Formulate the model We find the variables input, state and output which characterize the system and determine the units that will work, so that the calculation result between compatible magnitudes. For example for a simple pendulum problem are: Establishing relationships between variables through equations, functions and algorithms that allow us to calculate the value of the dependent variables or output when input change.
5. 5. 3. Solving the model 1. This is best done analytically because it helps the understanding of the model. 2. When you can not do is come numerically through a simulation on a computer. 3. When the model is mathematically intractable proceed to simplify thanks to a rethink.
6. 6. 4. Validate and interpret 1. Must be validated to determine if the model allows us to better understand the system. 2. We check whether the model can predict, meaning contrast their ability to produce previously unknown and which conform to the experiences in the future can be performed values.
7. 7. 5. Report on the model It is necessary to document the work done as a training tool and can help to improve the model through a detailed report. This should include: System Analysis Design chosen model Model solution obtained by analytical or numerical means Results and conclusions
8. 8. 6. Keeping the model 1. Check it occasionally to 2. Adapt to new circumstances or uses and 3. Correct
9. 9. Credits 1. Course notes Modelling Laboratory of the University of Murcia, given by: Francisco Esquembre Martnez Rafael Chicn Romero 2. Free Graphics from page : www.pixabay.com