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An auxiliary simulation is performed to simulate the turbulence to be imposed at the inlet boundary of simulation of the flow over hills.
The approach is to extract instantaneous planes of velocity data from an auxiliary simulation of a zero pressure gradient boundary layer.
The approach of Lund et al. is based on having an auxiliary simulation (Code-A) in a three-dimensional domain similar to that of the main simulation (Code-B).
The auxiliary simulation is also spatially developing, but generates its own inflow conditions through a sequence of operations where the velocity field at a downstream station is rescaled and re-introduced at the inlet.
Several novel potential inhibitors for 17β-hydroxysteroid dehydrogenases have been docked using available algorithms but applying a novel set of auxiliary simulation scripts.
To differentiate between the two structures, an auxiliary simulation of population developments has been used, assuming no migration from the Rest of the world.
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Approximate error bounds are possible by simulation using auxiliary simulations such as in Section 4 and [ 20].
The disadvantage of this approach is that reliance on auxiliary simulations to choose summary statistics adds to the computational burden.
Of course the user might have other criteria, such as for ABC to lead to a good estimation of the full posterior for θ as in our example in Section 4 which also relies on auxiliary simulations.
Reference [ 20] also aimed for better estimation of θ and also used auxiliary simulations, but, unlike [ 19], summary statistics were pursued that minimized the entropy (uncertainty) of the estimated full posterior probability.
The strategy is to choose the best results from several candidate sets of summary statistics, such as shown in the Results in Figures 2– 4. As in [ 19, 20], auxiliary simulations that produce data having similar summary statistics as the observed data are needed.
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