Lecture

Markov Chains and Applications

Description

This lecture covers the fundamentals of Markov chains, including the Ising Model, Metropolis algorithm, and Glauber dynamics. It explores heat bath dynamics, binary alphabet, spins, and degrees of freedom. The lecture delves into the application of Markov chains in various scenarios, such as the Ising Model and Medropolis algorithm.

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