The results presented in Table 9 show that the convergence behavior fits nicely between the convergence behavior for global C 0 and C p - 1 smoothness, with a bias towards C p - 1 smoothness.
Convergence hypotheses fitting (4): the two hypothesized convergent phylogenies H1 and H2 were then fitted to the data as for the species tree H0 (Supplementary Fig. 1, panel (iv)).
This situation happens when the estimates are on the boundary of the parameter space, and is illustrated with the artificial data presented by Deddens in a paper where a simple strategy, the COPY method, was proposed to achieve convergence when fitting log-binomial models in such a case [ 27].
Model evaluation and selection was based on objective function value (p level of 0.01, ΔOFV = 6.63 was considered a significant improvement in fit), successful convergence, goodness-of-fit plots and visual predictive checks (10).
Naturally, consensus algorithm is the distributed control that gives the convergence property, which fits for the large-scale system.
The process of convergence described here fits better than traditional theory with what the evolution of adaptation looks like empirically.
For complex models, physical knowledge of the problem can guide the initial settings of parameters and their ranges, and improve the final convergence of the fit.
This involved the separation of independent sub-annual maxima by storm mechanism, determining the Weibull shape parameter k, preconditioning for fastest convergence using k, fitting each mechanism to the Fisher Tippet Type I distribution and synthesising the composite extreme-value distribution.
Once the convergence in the fit procedure is achieved, the values of the retrieved concentration resulted not seriously biased neither by the initial values of the parameter, nor by the damping factors.
For each model fitted, convergence is achieved when the change in regression parameters is 0.0001 and terminated at 400 iterations if convergence is not achieved.
