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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
Main Authors: Zhigli͡avskiĭ, A. A. (Anatoliĭ Aleksandrovich) (Author), Zhilinskas, A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York : Springer, ©2008.
New York : [2008]
Series:Springer optimization and its applications ; 9.
Physical Description:
1 online resource (ix, 262 pages) : illustrations (some color).
Subjects:
Online Access:SpringerLink - Click here for access
Holdings details from CMU Electronic Access C502
Copy 1 CMU Electronic Access Available

Internet

SpringerLink - Click here for access