Sentence examples for model such phenomena from inspiring English sources

A stochastic Kronecker delta function is introduced to model such phenomena.

However, very limited work can be found in literature about methodologies suitable to model such phenomena.

Metamodeling techniques, which employ a non-linear pattern analysis between input and output parameters and solely based on the experimental observations, can be used to model such phenomena.

With geometrical optics it is difficult to accurately explain and model such phenomena as interference and diffraction, or to predict the exact amount of light reflected from a material interface.

In contrast to this procedure, this paper describes a way to model such phenomena comprising internal diffusion in microporous particles coupled with any first-order rate process inherent both in the physical system, i.e. sorption system with nonlinear sorption isotherm and any particle size distribution, and the experimental apparatus characteristics.

In recent years, some theoretical approaches have explored the topological conditions under which system-wide avalanches are possible [1 5]; whereas others have proposed threshold [6], rumor- [7] or epidemic-like [8] dynamics to model such phenomena.

In order to model such phenomenon, EI of PTS has to be expressed as the inhibition by αKG, or Cya has to be expressed as the inhibition by keto acids such as OAA and PYR as well as αKG, where the modeling for nitrogen regulation will be mentioned later.

Uncertainty techniques are more appropriate to modeling such phenomenon that inherits impreciseness.

A fictitious viscosity, μrough, dependent on the surface roughness may be used to model such surface phenomena.

We model such optical phenomena metaphorically into the searching process of numerical optimization by a new algorithm called optics inspired optimization (OIO).

With Shipman, we constructed and solved a fully nonlinear model displaying such phenomena.