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Since then, different modeling methods have been applied to tackle this and other modeling problems.
Urban modeling methods have traditionally followed a forward modeling approach.
As numerical modeling methods have uncertainties, experimental verification is required.
A wide range of modeling methods have been used to inform health policies.
Statistical modeling methods have been successfully used to segment, classify, and annotate digital images, over the years.
To solve this problem, ensemble modeling methods have been applied to predict the temperature.
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An off-line optimization technique based on soft modeling methods has been used to determine the optimum conditions for the separation of eight carbonyl-2,4-dinitrophenylhydrazones by gas chromatography equipped with a nitrogen phosphorous detector.
These three methods, i.e. a conventional quenching and image analysis method, calculations using two simplistic solidification models, and a proposed DTA coupled with mathematical modeling method, have been illustrated.
The results from the present modeling method have been obtained considering ten assumed modes compared with those reported by Ozgumus and Kaya (2006) using the differential transform method.
However, this modeling method has two problems: it takes too much time to model all movements, and accuracy depends on the modeling technician.
This modeling method has high computational efficiency and clear physical meanings.
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