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Part VIII: Discrete-Time Markov Chains

Part VIII: Discrete-Time Markov Chains

pp. 419-538

Authors

Mor Harchol-Balter, Carnegie Mellon University, Pennsylvania
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Summary

This final part of the book is devoted to the topic of Markov chains. Markov chains are an extremely powerful tool used to model problems in computer science, statistics, physics, biology, and business – you name it! They are used extensively in AI/machine learning, computer science theory, and in all areas of computer system modeling (analysis of networking protocols, memory management protocols, server performance, capacity provisioning, disk protocols, etc.). Markov chains are also very common in operations research, including supply chain, call center, and inventory management.

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