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A dimension variation model was developed based on thermal stress prediction with finite element analysis (FEA).

The residual deviance for the reduced model was 142.69 with 136 degrees of freedom, again indicating that the Poisson variation model was reasonable.

Thus all studies suggest an importance of niche differentiation/differential selection in shaping the composition of hybrid populations, although the frozen niche variation model was not better supported than the non-niche-based general purpose model.

Geometric variation model is introduced to infer key parts and key features, helping forming tolerance specification while assuring rationality and sufficiency of structure decomposition.

The obtained secular variation model is compared with models based on CHAMP satellite data.

We can see that for SH degree 8 and below our EIGRF secular variation model is very similar to that of IGRF-10.

A load variation model is provided in this package to check the impact of variable loads and renewables (negative load) on frequency dynamics.

The energy for the total variation model is defined as mathbf{E_{TV}} u)=int_{Omega}|nabla u|dxdy+lambdaint_{Omega} f-u)^{2}dxdy, (1).

This is shown in Fig. 6, where the power spectrum of the difference between the published IGRF-10 predictive secular variation model and the POMME5-post05 2009 secular variation model is also shown.

We have seen that the secular variation model is controlled by the regularization applied for the first and last year of the model, i.e. it should be used with caution outside the time interval [2002 2008.5].

Conceptually, this rate variation model is equivalent to that under the UPM (Snir et al. 2012).