[PDF.09ul] Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems)

Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems)

[PDF.sj41] Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems)

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 | #3498202 in Books |  Xiren Cao |  2007-10-12 | Original language:English | PDF # 1 |  9.21 x1.25 x6.14l,2.41 | File type: PDF | 566 pages

 | Stochastic Learning and Optimization A Sensitivity Based Approach

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||1 of 2 people found the following review helpful.| Jason|By Jason|Quite useful and easy-understanding book for postgraduate students or undergraduate students, who are interested in Stochastic Optimization, Markov Decision Process, and the like.

The contents are well organized, which can be reflected by the content table in the front matter. The first part of the book show the readers a sensitivity-based view about o| ||From the reviews: | |"The book is written by known contributor to the theory of Markov decision problems and the theory of queueing systems and it is chiefly based on recent results obtained by the author. … The book provide good introductory materials

Performance optimization is vital in the design and operation of modern engineering systems, including communications, manufacturing, robotics, and logistics. Most engineering systems are too complicated to model, or the system parameters cannot be easily identified, so learning techniques have to be applied. This book provides a unified framework based on a sensitivity point of view. It also introduces new approaches and proposes new research topics within this sensi...

You can specify the type of files you want, for your device.Stochastic Learning and Optimization: A Sensitivity-Based Approach (International Series on Discrete Event Dynamic Systems)   |  Xi-Ren Cao.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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