Dynamic Probabilistic Systems: Semi-Markov and Decision Processes: 2 (Dover Books on Mathematics)
Dynamic Probabilistic Systems: Semi-Markov and Decision Processes: 2 (Dover Books on Mathematics) is backordered and will ship as soon as it is back in stock.
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Book Details
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Author: Ronald A. Howard
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Brand: Dover
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Edition: 1st Ed. Thus
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Binding: Paperback
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ISBN: 9780486458724
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Pages: 576
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Release Date: 05-06-2007
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Languages: English
About The Book
"Title TBD" by Ronald A. Howard, a renowned Professor of Management Science and Engineering at Stanford University, offers a comprehensive, two-volume treatment of Markov Processes and their applications. This integrated work presents both the fundamental theories and advanced applications of Markov and semi-Markov decision processes.
In Volume I, Howard introduces the basic Markov process and its variants, laying the foundation for understanding the core principles of probability and linear system theory. This volume is ideal for readers looking to form a solid understanding of how to model systems across various fields, including genetics, space engineering, and marketing.
Volume II delves into more advanced topics, including discrete- and continuous-time semi-Markov processes and dynamic programming for optimization. It also explores decision processes, with practical examples focusing on infinite duration and transient processes, making it a comprehensive guide for those looking to apply these techniques in real-world situations.
This two-volume set is a must-have for anyone working in operations research, engineering, business, and other fields requiring a deep understanding of decision modeling and system optimization.