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The column considered is modelled as a random medium and the search tactics for the control problem are formulated as those of automation behaviour in a random medium.
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Efficient low complexity joint decoding must be formulated as well.
These were formulated as concretely as possible.
The weight of an interaction is formulated as the sum of, over those datasets, the product of the socio-affinity index [ 20] of the interaction on a dataset and the log-likelihood of the dataset.
Three macro constraints are formulated as follows.
Results are formulated as nonlinear matrix inequalities.
The reversible watermarking rules are formulated as follows.
In this study, all substructures are formulated as SMARTS expressions.
The second and third bounds are formulated as nonconvex problems.
Next, they are formulated as dynamic programming problems.
These metrics are formulated as delivery function and delay function.
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