… -number method. Accordingly, to find a merging pair while minimizing the error, one needs
first to estimate the merging errors of all possible pairs of SW particles and then select the pair …

… models, which can predict only average population properties, cell population balance models
are able to predict cell … rule and the backwards finite differences are used. Moreover, the …

… The first-principles model used in this study incorporates population balance and mass …
using different methods. For instance, Monte Carlo methods cause less accurate solutions than …

… In this study, we consider the population balance equation for a spatially … numerical solution
of the PBE appears in the problem. It must be noticed that at this stage, the proper numerical …

… model for AWS based on population balance model (PBM) along with acoustic agglomeration
kernel to predict cell … Multi-variable linear regression at 95% confidence interval was used …

… Central differences are employed for diffusive fluxes, … , Numerical solution of multi-variable
cell population balance … key challenge in numerical solution of population balance equations (…

… approach, ie, first discretize then analyze. Recently a late lumping observer approach for
cell population balance model … For this purpose, the backwards finite differences scheme is …

… PEM fuel cells operation, therefore multi-variable optimization, … ratio, is essential for the
improved cell performance. However, … The numerical solution of the physics-based models was …

… it with a mechanistic population balance model. This approach allows flexibility towards
use … In many instances, the process kinetics are known to be highly non-linear and multi-variable…

… the smallest values for Ave (average) and Std (standard deviation), indicating its ability to
effectively balance exploration and exploitation when dealing with multi-variable problems. …