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Springer Optimization and Its Applications #9: Stochastic Global Optimization

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Synopses & Reviews

Publisher Comments:

This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods. Among the book's features is a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms.

Synopsis:

This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models.

Table of Contents

Preface.- Introduction.- Basic Concepts and Ideas.- Global Random Search: Fundamentals and Statistical Inference.- Global Random Search: Extensions.- Statistical Models.- References.- Index.

Product Details

ISBN:
9781441944856
Author:
Zhigljavsky, Anatoly
Publisher:
Springer
Author:
Zilinskas, Antanasz
Location:
Boston, MA
Subject:
Linear Programming
Subject:
population-based methods
Subject:
random search
Subject:
statistical inference about minimum
Subject:
stochastic global optimization
Subject:
stochastic models about objective function
Subject:
OPTIMIZATION
Subject:
Probability Theory and Stochastic Processes
Subject:
Statistical Theory and Methods <P>Provides reader with a methodological and theoretical basis for developing and investigating optimization heuristics</P> <P>Summarizes basic ideas and presents recent progress and new results</P> <P>Includes an extensive
Subject:
Mathematics-Computer
Subject:
Applied
Subject:
Statistical Theory and Methods
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Mathematical optimization
Subject:
Distribution (Probability theory)
Subject:
Mathematical statistics
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2008
Series:
Springer Optimization and Its Applications
Series Volume:
9
Publication Date:
20101123
Binding:
TRADE PAPER
Language:
English
Pages:
272
Dimensions:
235 x 155 mm 416 gr

Related Subjects

Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Springer Optimization and Its Applications #9: Stochastic Global Optimization New Trade Paper
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Product details 272 pages Not Avail - English 9781441944856 Reviews:
"Synopsis" by , This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models.
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