Author: Xi-Ren Cao
Edition: 2007
Publisher: Springer
Binding: Hardcover
ISBN: 038736787X
Category: Programming
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Stochastic Learning and Optimization: A Sensitivity-Based Approach (The International Series on Discrete Event Dynamic Systems)
- ISBN13: 9780387367873
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Performance optimization is vital in the design and operation of modern engineering systems, including communications, manufacturing, robotics, and logistics. Programming books Stochastic Learning and Optimization pdf. 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. Download books Stochastic Learning and Optimization: A Sensitivity-Based Approach pdf via mediafire, 4shared, rapidshare.
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Stochastic Learning and Optimization: A Sensitivity-Based Approach: Xi-Ren Cao
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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
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
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author xi ren cao format paperback language english publication year 12 02 2010 subject mathematics sciences subject 2 mathematics title stochastic learning and optimization a sensitivity based approach author xi ren cao publisher springer us publication date oct 12 2007 pages 588 binding paperback isbn 144194222 x subject computers computer science brand new paperback all orders get full access to our online status tracking service allowing you to view realtime order progress your order will be
author xi ren cao format paperback language english publication year 12 02 2010 subject mathematics sciences subject 2 mathematics title stochastic learning and optimization a sensitivity based approach author xi ren cao publisher springer us publication date oct 12 2007 pages 588 binding paperback isbn 144194222 x subject computers computer science brand new paperback all orders get full access to our online status tracking service allowing you to view realtime order progress your order will be
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Stochastic Learning and Optimization: A Sensitivity-Based Approach Springer 9781441942227 09781441942227
Stochastic Learning and Optimization: A Sensitivity-Based Approach Springer 9781441942227 09781441942227
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Stochastic Learning and Optimization A Sensitivity-based Approach, ISBN-13: 9780387367873, ISBN-10: 038736787X
Stochastic Learning and Optimization A Sensitivity-based Approach, ISBN-13: 9780387367873, ISBN-10: 038736787X
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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. Download free Stochastic Learning and Optimization: A Sensitivity-Based Approach (The International Series on Discrete Event Dynamic Systems) pdf
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