Stochastic Global Optimization

This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-b...

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Bibliographic Details
Main Authors: Zhigljavsky, Anatoly (Author), Žilinskas, Antanas (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2008.
Series:Springer Optimization and Its Applications, 9
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Online Access:Full Text via HEAL-Link
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by Zhigljavski, Anatoly
Published 2008
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