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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
Call Number:Libro Electrónico
Main Authors: Zhigljavsky, Anatoly (Author), Zilinskas, Antanasz (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Springer Optimization and Its Applications, 9
Subjects:
Online Access:Texto Completo