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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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Main Authors: | , |
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Corporate Author: | |
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 |
Copy 1 | CMU Electronic Access | Available |
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