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Two independent runs of four Markov chain Monte Carlo (MCMC) chains each were executed in parallel for two million generations, sampling every 100 generations.
Two runs of four Markov chain Monte Carlo (MCMC) chains each were executed in parallel for 10,000,000 generations, with a sampling interval of 1,000 generations.
For each scenario, each query was executed 20 times with the average retrieval speeds measured and shown in Figure 9.
Each query was executed five times on each of the constructed databases.
Memory monitoring began before each algorithm was executed to establish a baseline, and the maximum memory consumption during algorithm execution was measured relative to this baseline.
While all three editions deal with the same subject, each book was executed by a different illustrator.
Each variant was executed until it converged.
Each method was executed 100 times independently.
Each stage was executed in the US and UK.
Each experiment was executed as a randomized complete block design with three replicates.
Each query was executed ten times, and the average time was calculated.
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CEO of Professional Science Editing for Scientists @ prosciediting.com