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The accuracy and stability of the model have been verified, by simulating three benchmark problems.
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Performance of the new formulation is systematically investigated by simulating four benchmark flows of increasing complexity, namely (1) flow in a plane channel, (2) unsteady Couette flow, (3) flow caused by a moving lid over a 2D square cavity and (4) flow over a circular cylinder.
Through the verification and the comparison by simulating a benchmark case, the improved model demonstrates good accuracy and stability.
We also simulate two well-known benchmark problems.
The method is tested by simulating the BEAVRS benchmark with a windowed multipole library composed of 70 nuclides.
The proposed algorithm has been simulated on fifteen benchmark functions suggested in the CEC 2015 competition.
The model has been validated by three benchmark tests which confirm the ability of the model in simulating contact angles, velocity profile inside a pore and determination of capillary pressure.
To provide computational benchmarks for the imputation methods used in this study, we simulated two reference panels: one containing 4800 haplotypes modeled on the ancestrally diverse reference dataset that is being produced by the 1000 Genomes Project, and another containing 1000 haplotypes modeled on the European component of the 1000 Genomes set.
Then we simulated four rounds of golf.
We simulated sixty replicates.
The controller design methodology is validated by simulating a two-area power benchmark power system.
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