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The iterative procedure combining a pole placement method and interval analysis of closed-loop characteristic polynomial coefficients is proposed to design the robust control scheme.
To achieve this goal, we apply a two-step procedure, combining a heuristic approach generating an initial tomogram classification with a subsequent refinement using a statistical inference method that maximizes the joint probability of the class assignment l and the intensity f.
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The procedure combines a genetic algorithm for selecting the best inputs with an ANN ensemble method.
The numerical procedure combines a deterministic particle type computation with a process for periodically reconstructing the distribution function on a fixed grid.
The solution procedure combines a multi-population hierarchically structured genetic algorithm (GA) with a simulated annealing (SA), and a tailor-made heuristic named cavity heuristic (CH).
Secondly, an iterative procedure combines a novel aggregate model with the detailed model to provide aggregate pre-matches for the detailed binary variables.
This procedure combines a number of p values into a single c-distributed variable with degrees of freedom equalling twice the number of p values (Haccou and Meelis 1994).
This procedure combines a number of P values into a single chi-square distributed variable with its degrees of freedom equaling twice the number of P values (Haccou and Meelis, 1994).
This classification procedure combined a k-means clustering of the image pixels and the intervention of an operator, the first author of this paper, who was guided by field knowledge, expertise in photo-interpretation and collaboration with entomologists.
This semiparametric procedure combines a parametric model that allows for different rates on each branch in the tree [ 96] with a non-parametric penalty function that penalizes rates that change too quickly along the tree from ancestor to descendent branches [ 97]; a smoothing parameter determines the relative contribution of the penalty function.
Overall, we have demonstrated that sequencing of DNA purified from redigested bone powder, and the use of DNA template preparation procedures combining a mild DNA denaturation temperature and DNA phosphatase treatment, significantly increased the amount of endogenous sequences retrieved from ancient bones using tSMS.
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