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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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Spring
2011
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Course Info
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As Taught In
Spring
2011
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