Sentence examples for model convergence and from inspiring English sources

Additionally, sensitivity analyses conducted on the two scenarios show model convergence and demonstrate that the model can employ time steps that exceed the CFL restriction.

Two-dimensional numerical simulations performed on an engineering benchmark problem of debonding a fiber in an elastic matrix further illustrate the validity of the model, convergence, and algorithmical efficiency even for very rigid adhesives with high elastic moduli.

The proposed model was successfully applied to the Vamsadhara river basin located in the South Eastern part of India, and a sensitivity analysis of the proposed model parameters was carried out to prove its robustness in terms of the proposed model convergence and validity over the broad spectrum values of the proposed model parameters.

This facilitated model convergence and allowed us to compare the relative importance of each control on numbers of migrants.

To improve model convergence and ease of parameter interpretation, all independent variables were standardized by subtracting their means and dividing by their standard deviations.

Such difference could be explained by Patel's model (a neural network model): two types of disparity encoders (disparity-tuned cells) employed in this model, convergence and divergence encoders.

The application of MCMC demands careful diagnosis of model convergence [55] and we have omitted this important but onerous aspect from the present work in order to focus on the primary goal of integrating all the available data.

The proposed semi-analytical model convergences rapidly and it is convenient to add wellbore storage and skin effect in this model.

As a result, when compared to a traditional AAM approach, segmentation is performed faster and model convergence is improved, attaining good results using small training sets.

Our Bayesian meta-analyses had GOF scores between 0.46 and 0.50 for all fish metrics, confirming good model fits for estimating effect-size relationships, and model convergence was deemed adequate in every instance [51].

Tracer v. 1.4 [ 39] was used to assess adequacy of burn-in and model convergence for Bayesian analyses.