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Lecture 20: Markov Processes and Random Walks

Description: After reviewing steady-state, this lecture discusses reversibility for Markov processes and for tandem M/M/1 queues. Random walks and their applications are then introduced.

Instructor: Prof. Robert Gallager

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Markov Processes and Random Walks ( PDF)

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