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Both models can minimize the cost incurred by MPA implementation while simultaneously satisfying different conservation targets.
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In this way, hybrid models can minimize (or even abolish) drawbacks of using only one single approach.
However, using proven techniques based on experience and mathematical and/or design models can minimize risk and uncertainty when scaling up fluidized beds.
At the same time, by transforming fraction images into a finer-scaled hard classification map, SPM models can minimize the influence of grain size on LPIs calculation.
The FRSMOP model can minimize system cost and waste flows directly to landfill simultaneously.
Results show that designing WDS with the developed model can minimize the environmental impact compared to some other conventional design methods.
The results show that the first model can minimize passenger TTT under dynamic passenger demand, whereas the second can comprehensively optimize passenger TTT and meantime keep the train load factor within a reasonable level.
Similar to model 4 which assumes an integration process into the MEHRD without temporary supervision of the MGEF, this model can minimize the period of conflicts within ECEC resulting from decisions to integrate within a short period of time, possibly resulting in highly efficient administration and finance.
Finally, the activation of the ventricles in both models can be compared by attempting to minimize differences in activation times at each point in the tissue according to a criterion such as least squares that is, by attempting to minimize (9) ∑ x → ∈ V A 3 x → − A 2 x → + c 2 by choice of c, where V is the entire ventricular domain and A3 and A2 are evaluated over V.
Both models can be adjusted for those factors.
Hence, both models can produce errors.
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