Lecture 20: Markov Processes and Random Walks

Name: Lecture 20: Markov Processes and Random Walks
Uploaded: 2012-06-29T19:44:58Z
Duration: 1 h 23 min 9 s
Description: 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

1:23:09

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