In addition, depending on the simulation of Cao et al. [22], the motion of dislocations along the well-defined slip systems can be restricted by twin boundaries (TBs).
Depending on the system, simulation parameters, and optimization method employed, overall code speedup factors of 1.2 1.5, relative to the typical single-nuclide binary search algorithm, are routinely observed.
Obviously, the relevance of evaluations on in silico data strongly depends on the realism of the simulation system, e.g. the network topology, the type of mathematical model, the type of kinetic functions, the noise model, etc.
CT acquisition parameters differ depending on the CT system used.
Depending on the system of interest, particle-based simulators may prove to be the better choice over other simulation engines.
We derived suitable upper bounds for the SIRs depending on the system parameters, which have been verified by numerical simulations.
This greatly simplifies simulations of epidemics in networks, but may or may not be appropriate depending on the system (reviewed in Newman et al. 2001; Meyers et al. 2006).
The simulation results showed that the proposed technique could achieve remarkable improvements at the final power consumption, between 17.5% and 37.8%, depending on the system constraints.
The resulting incidence rate ranged from 9 to 34%, depending on the different simulation scenarios.
The rate at which the model simulation time changes, with respect to the system size, can vary considerably depending on the employed model representation and simulation algorithm.
