Sentence examples for simulation and stochastic from inspiring English sources

Simulation concepts such as the static modeling, dynamic modeling, discrete event simulation, and stochastic modeling ("Monte Carlo") are presented.

Data from wild-type (C ), stochastic simulation (D ) and stochastic simulation with imposed apical inhibition (E ) had similar branch numbers but different branch distributions.

This study evaluates the role of the Peclet number as affected by molecular diffusion in transient anomalous transport, which is one of the major knowledge gaps in anomalous transport, by combining Monte Carlo simulations and stochastic model analysis.

In this case study, we solve an auxin-transport model using analytical methods, deterministic numerical simulations and stochastic numerical simulations.

The Stochastic Monte Carlo Simulation Models and Stochastic Efficiency with Respect to a Function (SERF) were used to evaluate the following: Compare Salalah Basic Model with two new farm locations model at Hanfeet and Dawkah area.

This argument suggests that our simulation settings, in which a Markovian process is assumed both for the simulations and the stochastic mapping inference, may overestimate the performance of stochastic mapping based inference.

For analysis and simulation, random variables and stochastic processes need to be modeled mathematically, and procedures are required to generate their samples for numerical calculations.

(2012) and VCell (Slepchenko et al., 2003), which supports overlapping space multiscale simulation for deterministic and stochastic off-lattice models.

COPASI was also employed for the simulation of the model where both deterministic (LSODA) and stochastic simulation algorithms [ 35] were used.

It means that all of the analyzed messages are approximated in the simulations and the stochastic analysis is performed over all investigated messages.

Without single cell data, it is unclear how to interpret discrepancies between an individual (deterministic or stochastic) simulation and the average of many stochastic simulations.