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The Potts model is a
more complex version of the Ising model, and is
particularly useful in developing models for biology. It uses statistics,
probability, random numbers, Monte Carlo methods, and Markov chains.
Prerequisites:
1. A solid
understanding of statistics, probability, and random numbers.
2. A basic
understanding of Monte Carlo methods and Markov chains.
3. A basic knowledge
of the Ising model.
4. Knowledge of
intermediate computer programming.
1. To examine the
structure of the Potts model using the tools developed previously.
2. To experiment
with a simple Potts model simulation.
3. To recognize the
programming steps in constructing a simple Potts model.
Start the tutorial
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