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The accuracy and the stability of the procedure are finally discussed through some relevant examples.
They are all exactly in the range suggested by the analyses of the split sample, which once more hints at the stability of the procedure.
The treatment of the boundary condition which describes the coupling is examined, and the stability of the procedure is studied and found to depend on the nature of this coupling.
The stability of the procedure can be improved using Data resampling.
The aim of this case study is to present preliminary results and experience with this short stem, focusing on the mechanical stability of the procedure.
In order to check the stability of the procedure, z-score matrices for these subclusters were re-calculated from 1000 shuffled sequences.
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The stability of this procedure is detailed in File S1, section 5B.
A penalty term, which improves the stability of the assimilation procedure, has been identified and included in the cost function.
It indicates the numerical stability of the developed procedure.
The stability of the classification procedure was checked by a cross-validation run.
The smooth convergence is observed, which indicates the numerical stability of the developed procedure.
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