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A common "rule of thumb" is that at least 200 simulations are needed when summarizing simulated data as mean values, and at least 1,000 are needed when summarizing as confidence intervals.
Detector simulations are needed by both CMS and LHCb.
That is because when examining extreme events, many simulations are needed to generate a robust result.
Accurate numerical simulations are needed to design such systems.
Also more robust and efficient algorithms for time-domain simulations are needed.
When large-scale statistical simulations are needed (e.g. in backflashover rate assessment), detailed but computationally intensive models are not suitable.
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Further analysis and a simulation model are needed to explain this.
When describing the influence of reservoir parameters' variability on oil development rules, the simulation technique which uses a pore-scale network model in conjunction with reservoir-scale conventional simulations is needed.
For all other cases, including the real infections, stochastic simulations were needed.
Further investigation (e.g., by simulations) is needed to evaluate these possibilities.
For avidin, 20 – 50 simulations were needed to give a standard error of 1 kJ/mol for the seven biotin analogues (6 – 15 ns simulations for each ligand in total).
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