Methods of Data Analysis Random numbers, Monte Carlo integration, and Stochastic Simulation Algorithm (SSA / Gillespie)
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چکیده
“Random” numbers (RNs) are of course only pseudo-random when generated on our computers: they are determined uniquely by the seed value and the algorithm for producing the next pseudorandom number from the last in the generated sequence. Care must be taken to use a high-quality RNG, and to always know what is going on with the seed (especially if you run multiple jobs on the cluster). RNs are very useful for a series of numerical procedures, three of which we will look at today. Next week, we will also use RNs for Metropolis Monte Carlo simulations.
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