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Depends on the type of the simulation, but quite often, low discrepancy numbers (like Sobol sequences) are the better choice. Especially in finance, good engines don't or rarely use random numbers.



PRNG are used for MC in both finance and physics.


I agree, but I wrote "good engines". If one can choose between convergence with 1/N over 1/sqrt(N), the choice shouldn't be difficult especially in real-time systems.





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