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With many breeding programs now incorporating genomic information at great expense, simulation is both useful and necessary to compare, at low cost, the potential that different analysis methods have to increase the accuracy of estimating breeding values and to compare the alternative structures of breeding programs.
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In the simulations performed to produce the results of Figure 4, compartment sizes were scaled by a factor of 0.2 to decrease the computational expense of simulation.
To reduce the computational expense, metamodels are commonly used to replace the actual expensive simulations or experiments.
Notably, the IHPSM method is able to decrease the simulation expense by about 55% compared with DSMC in the sphere test.
Owing to the computational expense of the simulations, only one binding mode with the lowest scoring function was selected for the molecular dynamics simulations.
This facilitates rapid prototyping and mitigates the expense of individual simulations.
To account for the computational expense of the simulations, the upper level EA is executed for a maximum of 50 generations, while (alpha _l^mathrm{stop} ) is set to 1e3.
However, due to the large size of the protein filaments considered here, the computational expense of such simulations can be significant, in particular if long time-scales are considered.
To effectively utilise moulage in simulation, significant expense is required to train simulation staff and to purchase relevant equipment.
The existence of an optimal resolution, beyond which differences in images are small, implies that one can save additional computational time and expense by running the simulation at this optimal resolution.
In an effort to lessen the computational expense of bubble growth simulations without compromising its fundamental shape characteristics, an analytical model is developed.
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