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The Markov Chain model and process
uses three important kinds of modern
mathematics: probability, matrices,
and time-stepping.
1. Knowledge of probability theory up to conditional
probability.
2. Knowledge of matrices used as transformations
- To see how the simplest (2-link) Markov chain works.
In particular, to see a type of situation in which a Markov chain can be
used.
- To see (visually) how to describe the situation.
- To see (numerically) how to describe the situation.
Start the tutorial
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