Process - Monte Carlo (method|experiment) (stochastic process simulations)

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Monte Carlo methods are quite useful for simulating systems


Monte Carlo methods vary, but tend to follow a particular pattern:

  • Define a domain of possible inputs.
  • Generate inputs randomly from a probability distribution over the domain.
  • Perform a deterministic computation on the inputs.
  • Aggregate the results.

Documentation / Reference

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