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The emergence of oscillations during the silicon electrodissolution has often been tackled using a framework where the global oscillatory signal is seen as the outcome of a synchronization of self-oscillatory microdomains with a certain frequency distribution.
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This certainly is a question that needs to be tackled using a molecular approach.
The trade-off between maximizing stochastic flexibility and minimizing investment cost is tackled using a goal programming technique.
The problem can be tackled using a decomposition strategy, where route design and the determination of frequencies and passenger flows will be dealt with separately.
Alternatively, the design problem is tackled using a posteriori approach by using our in-house Non-dominated Sorting Hybrid Algorithm (NSHA).
The robust output feedback stabilization is tackled using a genetic algorithm optimisation procedure for uncertain linear parametric systems in the time domain.
In the present work this multi-objective design problem is tackled using a genetic algorithm, coupled to rotor performance simulation tools.
However, the limits of iron (III) oxide can also be tackled using a different approach by combining the advantages of the nanostructuring and the doping with an aliovalent element.
These problems in principle can be tackled using a Bayesian probabilistic approach, where the parameters to be identified are treated as uncertain and their inference information are given in terms of their posterior probability distribution.
In the current study the problem is tackled using a more advanced yield function [Barlat, F., Brem, J.C., Yoon, J.W., Chung, K., Dick, R.E., Lege, D.J., Pourboghrat, F., Choi, S.-H., Chu, E., 2003. Plane stress function for aluminum alloy sheets – part I: theory. Int'l.
This impairment can be tackled using a number of techniques as described here.
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