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The most powerful numerical tool is the computational fluid dynamics (CFD) simulation, which allows a detailed examination of flow behavior through the porous media.
It is a postprocessor of a CFD simulation which allows to extract from CFD 3D fields an "equivalent" network of reactors, for which it is possible to use a detailed reaction kinetics.
For animating things like hair, the animators created a secondary animation code, known as Dynamic Simulation, which allows the PS3 itself to mathematically calculate the way it should look; it accurately generates motion that previously took the animators long hours to replicate.
To address limitations in classic univariate sensitivity analysis, we performed Monte Carlo simulation, which allows for the simultaneous sensitivity analysis of all variables over their plausible range.
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The prediction was finally upgraded to a stochastic Monte Carlo simulation, which allowed quantitative incorporation of uncertainty, stemming from various sources.
Both of the scenarios demonstrated the merit of having a graphical representation of the simulation, which allowed for the developers and also the users of the systems to see what was going on and where that fitted into the project.
A software was developed on the base of non-linear simulation, which allowed the deconvolution of EPR spectra of tooth enamel into three components: native, radiation- and mechanically induced.
We also partnered with WorldViz to develop a custom, immersive virtual reality simulation which allowed CES attendees to test a "walking" virtual reality program.
Many Petri net software comes with built-in features for analysis, animation and discrete (stochastic) as well as continuous (deterministic) simulation, which allow to investigate a model in various complementary ways [11].
This choice was based on the small computational time per simulation, which allowed for the large number of simulations performed to provide the landscape of the objective function over the parameter space.
Unlike most previous efforts in this area, the simulation model is built on a platform of a mesoscopic traffic simulation model, which allows modeling of the operation dynamics of large-scale transit systems taking into account the stochasticity due to interactions with road traffic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com