Actually you can make use of non-randomness in Monte Carlo simulations to get better results. There is various names for this, but the one I like best is "low d

Actually you can make use of non-randomness in Monte Carlo simulations to get better results. There is various names for this, but the one I like best is "low discrepancy series". Have a look at [1] or [2] for a quick intro. These are sometimes also called quasi-random (or sub-random), but I find that a bit too close to pseudo-random. [1] https://en.wikipedia.org/wiki/Low-discrepancy_sequence https://en.wikipedia.org/wiki/Low-discrepancy_sequence [2] https://blog.demofox.org/2017/05/29/when-random-numbers-are-too-random-low-discrepancy-sequences/ https://blog.demofox.org/2017/05/29/when-random-numbers-are-...