Sentence examples for classes of simulations from inspiring English sources
This approach was found to be useful in identifying certain relationships, such as tight coupling of stromal metabolism, relative convergence values between classes of simulations (high and low starch, low and high ATP and orthophosphate), and sensitivity of internal metabolite concentrations (steady-state maltose concentration dependence on arabinogalactan and glucose levels in the cytosol).
Before presenting a detailed analysis of the various classes of simulation models, some constraints are imposed on the three types of parameters.
This paper presents these new cubatures (based on orthogonal arrays) from a practitioner's point of view and illustrates their remarkable efficiency in solving process systems engineering problems, namely those under the classes of simulation under uncertainty, variance-based global sensitivity analysis and optimization under uncertainty.
Zynga's once hugely successful farming game may itself be fading in popularity, but it belongs to a thriving class of simulations in which players build and customise their own territories, often sharing the results with friends.
Fractal modeling is an important class of simulations.
The second class of simulations follows a nonstationary poisson (NP) process.
We present a new technique (remote predicate evaluation (RPE)) for distributed modeling of hybrid systems that is applicable to a wide class of simulations.
The first class of simulations is consistent with a version of the epidemic-type aftershocks sequence (ETAS) model (Ogata 1998), submitted to the CSEP-Italy testing region (Lombardi and Marzocchi 2010b).
Based on the findings in the first set of analyses, the second class of simulations further explores the functional importance of the relevant recovery pathways and their relationships to details of the intracellular pathway settings, such as the relative magnitudes of different flux rates and balances between forward and reverse reactions.
One particular class of simulation-based models that have not yet benefited from the progression of Bayesian methods is the class of neurologically-plausible models of choice response time, in particular the Leaky, Competing Accumulator (LCA) model and the Feed-Forward Inhibition (FFI) model.
