Stochastic Learning and Optimization: A Sensitivity-Based Approach 2007 Edition Contributor(s): Cao, Xi-Ren (Author) |
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ISBN: 038736787X ISBN-13: 9780387367873 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover - Other Formats Published: October 2007 Annotation: Stochastic learning and optimization is a multidisciplinary subject that has wide applications in modern engineering, social, and financial problems, including those in Internet and wireless communications, manufacturing, robotics, logistics, biomedical systems, and investment science. This book is unique in the following aspects.
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Additional Information |
BISAC Categories: - Mathematics | Discrete Mathematics - Computers | Intelligence (ai) & Semantics - Mathematics | Linear & Nonlinear Programming |
Dewey: 338.064 |
LCCN: 2007928372 |
Physical Information: 1.62" H x 6.38" W x 9.41" (2.41 lbs) 566 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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 sensitivity-based framework. This new perspective on a popular topic is presented by a well respected expert in the field. |