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The present work studies the resonant fracture of a multiferroic cylindrical structure by the combined methods of variable separation, infinite series, singular integral equation and Lobatto Chebyshev collocation.
As a result, four regression algorithms and three methods of variable selection were applied to build the prediction models for virtual metrology.
Although alternative methods of variable selection could be used, we chose a simple approach that exploits the naïve Bayes model.
Second, in most studies that assessed the characteristics associated with distinct clinical presentations or trajectories, methods of variable selection were not theoretically predicated.
It has been shown (Meinshausen and Bühlmann, 2010) that the use of such sampling method with regularized methods of variable selection provides a good estimator of the original data.
We did not incorporate the survey weights from NHANES in our analysis as many R packages for our methods of variable selection do not allow for adjustment for survey design.
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Therefore, it must be transformed into a standard form by the method of variable substitution.
Genetic algorithm based genetic function approximation method of variable selection was used to generate the model.
Radiative transfer is solved with the method of variable Eddington factors.
In our work, we proved the system (1.1) has a unique global positive solution by the method of variable transformation.
Therefore, the ODE by using the method of variable separation and partitioned method can be expressed for each segment.
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