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Introduction to Stochastic Search and Optimization

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Published by Wiley-Interscience .
Written in English


Book details:

The Physical Object
Number of Pages618
ID Numbers
Open LibraryOL7615266M
ISBN 100471330523
ISBN 109780471330523

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  Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer : James C. Spall.   Introduction to Stochastic Search and Optimization: Estimation, Simulation and Control (Wiley Series in Discrete Mathematics and Optimization) by James C Spall () Hardcover – by. Be the first to review this item.5/5(6). Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. * Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets.4/5(5). Stochasticity can play two different roles in search and optimization. It can be an adversary, in the form of noise in measurements of the system's state, or it can be a friend, in the form of stochastic choices that enable the search process to escape local optima.

This comprehensive book offers main pages divided into 17 chapters. In addition, five very useful and clearly written appendices are provided, covering Introduction to Stochastic Search and by: Introduction to Stochastic Search and Optimization: Estimation,Simulation, and Control is a graduate-level introduction to theprinciples, algorithms, and practical aspects of stochasticoptimization, including applications drawn from engineering,statistics, and computer science. Introduction to stochastic search and optimization: estimation. siinulation, and control /.lames C. Spall. p. cm. ~ (Wiley-Interscience series in discrete mathematics) Includes bibliographical references and index. ISBN (cloth: acid-free paper) I. Stochastic processes. 2. Search theory. 3. Mathematical optimization. I. Title. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current .

Introduction to Stochastic Search and Optimization [Book Review] Article in IEEE Control Systems Magazine 25(3) July with 10 Reads How we measure 'reads'.   Buy Introduction to Stochastic Search and Optimization: Estimation, Simulation and Control (Wiley Series in Discrete Mathematics and Optimization) 1st ed by James C Spall (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.5/5(3). Download Citation | Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control | This comprehensive book offers main pages divided into 17 chapters. In addition. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control Intended as a reference for researchers and a textbook for students, this book discusses a broad range of methods in stochastic search and optimization.