Stochastic Learning and Optimization - A Sensitivity-Based Approach (Hardcover, 2007 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	October 2007
First published:	2007
Authors:	Xi-Ren Cao
Dimensions:	235 x 155 x 34mm (L x W x T)
Format:	Hardcover
Pages:	566
Edition:	2007 ed.
ISBN-13:	978-0-387-36787-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	0-387-36787-X
Barcode:	9780387367873

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