Set the sliders and observe the output highly inefficient and may not even be correct. im so proud *tear rolls down cheek*. I would recommend not turning on the ¨calculate stationary distribution vector?" as it l a g s so much. I would also recommend turning the project off before changing the variables so you dont have to scroll through 200000 outputs to see your changes.
probably should find a better way to generalize the algorithm for n-dimensions. Anyways here's some technical stuff bc I've been researching these all day. THIS DESCRIPTION MAY BE SUBJECT TO ERRORS OR MISUNDERSTANDINGS (I just feel obligated to put that here) for those interested it uses a recursive method of matrix multiplication by a vector (pi * P = pi where pi is a vector whose rows add up to one)to find the equilibrium point (stationary distribution vector). There's more efficient ways to do it but its math I don't understand ¯\_(ツ)_/¯ also here's an example of Markov chains, @eegleeyes to whomever may be thinking of uses for this; this is a super super super super SUPER simplified version of Markov chains and there is so much to learn about, so do your own research before trying to incorporate it into your own projects. getting scratch to do linear algebra is painful. maybe just generally doing linear algebra is painful.
