openmc VS PokerMonteCarloAPI

It was actually invented for this.

Open source radiation transport Monte Carlo code here if you'd like to play around:

https://github.com/openmc-dev/openmc

Even given their nuclear weapons origin, we lowly civil nuclear power engineers still use Monte Carlo methods all day every day. We all make our employers buy big supercomputers or get us access to the national lab leadership class HPC to just pound the hell out of our reactor design problems with random particle transport chains. Sure there are (dramatically) faster deterministic methods that are generally good enough, but Monte Carlo allows you to use exact geometry and not bother too much with the pesky art of computing average nuclear interaction probabilities.

Heck, my buddy at MIT made an open-source Monte Carlo code called OpenMC that's now run by Argonne National Lab [1]. Now everyone can do truly legit reactor design with Monte Carlo!

[1] https://github.com/openmc-dev/openmc

openmc source code

I haven't completed or deployed it yet but I wrote a C# API to calculate your chance of winning a hand of poker based on all known cards at the table.

All unknown cards are randomly assigned and it just loops a bunch, reasonably easy to implement and actually is reasonably fast.

https://github.com/JohnFarrellDev/PokerMonteCarloAPI/

With the amount of possible outcomes Bayesian statistics just didn't seem reasonable to implement.

Goes without saying this tool is still fairly basic, it shouldn't be used to inform how much to bet or when to fold as it doesn't take into account information such as how much your opponents are betting.