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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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Zhigljavsky, Anatoly (Auteur), Zilinskas, Antanasz (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer US : Imprint: Springer, 2008.
Édition:1st ed. 2008.
Collection:Springer Optimization and Its Applications, 9
Sujets:
Accès en ligne:Texto Completo