Re:When Math Gets Impossibly Hard
by filmor on Wednesday September 16, 2020 @05:46PM
(#24498353)
This is neither how a Monte-Carlo process works (it's sampling the possible outcomes randomly, not simulating all outcomes), nor what is described here (building a physical system where an observable value is described by the differential equation one is trying to solve).
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Re:When Math Gets Impossibly Hard
by curiousgal on Wednesday September 16, 2020 @06:16PM
(#24498639)
In practice the number of simulated scenarii is quite large which is what I meant by "every". Not rigorous though, I concur.
Monte Carlo methods are used to solve partial differential equations, I found both approaches similar in the sense that they look at how the system actually/could behave, instead of looking at the equations solely.
This is a pedantic response. There isn't an important difference between building a physical system and building a system in code whose generating process is that which you're trying to model. And everyone knew he didn't mean every outcome literally.