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In other words, I am not allowing draws. Perhaps the most straightforward method for computing probabilities of complex systems a poker game being one of these is to use the Monte Carlo method. Really, the only tricks in this code are the use of the randperm function to "shuffle" the deck and the histc function to count up hands. Hope this helps to get you started! I also am just looking the probabilities of being dealt these hands directly.

クリップボードにコピー 編集済み: Jonathan LeSage 年 10 月 20 日 An interesting problem for sure, as there are many methods through which you could tackle poker monte carlo 2013 problem.

We effectively deal a thousand hands and see how often certain poker hands arise. If you're relatively new with MATLAB or coding in general, this is a great problem that you can tackle to learn about both probability and programming!

Effectively, you write some code that simulates a hand of poker, and then run that bit of code poker monte carlo 2013 of times. Then we can plot the probabilities on a bar chart using the bar function.

Only looking at pairs, three-of-a-kinds and four-of-a-kinds.

What I did was code up a very simple Monte Carlo poker simulator. You can compute the probabilities of events this way. Since I am not sure what particular format of poker you're interested in simulating, I'll leave the nuances to you. In the code, I only count up pairs, three-of-a-kinds, and four-of-a-kind. Hopefully the code and discussion I provide can help jump start you on your own project!