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The mathematical models containing only significant parameters (p ≤ 0.05) as functions of treatment temperature and essential oil concentration were obtained.
The knowledge of the total radiation can be acquired by three methods: the measurements (pyranometer for the measurement of the total and diffuse radiations; pyrheliometer for the measurement of direct radiation), the mathematical models containing weather data and the satellite images (Ayangma et al. 2008).
An advantage of our approach is that mathematical models containing processes at any timescale of interest can be used, while their long-term adaptations are captured by identifying necessary parameter changes.
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All mathematical models contain parameters that must be determined for the model to represent the behavior of the system accurately.
Such mathematical models contain detailed information about the time evolution of the system, which, in some circumstances, may be more than one is interested in.
Where DAMs (and other mathematical models) contain parameters which are poorly understood and therefore particularly uncertain, for example, transmission probabilities, then different models of the same outcome can result in very different predictions, as was the case with predicting the population impact of chlamydia screening [ 9, 21- 23].
A non-linear mathematical model containing stiffness and damping forces with tri-linear forms is considered.
Then, a mathematical model containing multiple continuous and discrete variables for the optimal design of LSC is developed.
In multiobjective optimization, the optimization problem is formulated with a mathematical model containing several conflicting objectives and constraints depending on decision variables.
(Kabak and Ülengin 2011) considered a mathematical model containing the resources allocation and outsourcing decisions which only two decision variables are considered to be fuzzy such as the input parameters.
In the other fields the variables are handled as fuzzy numbers, for example (Fazlollahtabar et al. 2012) proposed a vehicle routing problem with fuzzy decisions and also (Kabak and Ülengin 2011) considered a mathematical model containing the resources allocation and outsourcing decisions which the two decision variables are considered to be fuzzy such as the input parameters.
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CEO of Professional Science Editing for Scientists @ prosciediting.com