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Many kinds of simulation models have been developed to understand the complex plasma systems.
This is rather unlikely (contrary to Beisbart, 2012) because thought experiments and computer simulations seem to involve different kinds of simulation and have different aims.
Kinds of simulation signals show the effectiveness of the proposed method, and experimental tests on fixed-shaft gearbox and planetary gearbox further verify the reliability.
Sharing both kinds of simulation results is, to a great extent, hindered by the use of a variety of data formats by the existing simulation software packages.
These are some of the kinds of simulation studies that are made possible by taking data that is fairly readily available and augmenting it by rational behavior patterns of people-people interactions.
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Two kinds of simulations were performed in this study: To be able to statistically compare simulated recognition times for various sequences or DNA lengths, we repeated simulations 100 times and computed average values.
The growing interest among researchers in these kinds of simulations comes with the rise in computer processing power and the growing sophistication of psychological theories.
Two kinds of simulations have been performed, each characterized by a different boundary condition.
From a system study point of view the dynamics are divided into two kinds of simulations, i.e. electromagnetic transient and electromechanical transient simulations.
In this work, we sought methods that can be useful for interpreting the vast amount of data associated with these kinds of simulations.
The lattice Boltzmann (LB) method, which has the same cellular automata structure as LGA, has also been used for many kinds of simulations of incompressible viscous flows.
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