Stochastic Optimization - Scientific Computation (Hardback)
  • Stochastic Optimization - Scientific Computation (Hardback)
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Stochastic Optimization - Scientific Computation (Hardback)

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£109.99
Hardback 568 Pages / Published: 07/11/2006
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This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540345596
Number of pages: 568
Weight: 2190 g
Dimensions: 235 x 155 x 31 mm
Edition: 2006 ed.


MEDIA REVIEWS

From the reviews:

"The book is devoted to stochastic global optimization methods. ... The book is primarily addressed to scientists and students from the physical and engineering sciences but may also be useful to a larger community interested in stochastic methods of global optimization." (A. H. Zilinskas, Mathematical Reviews, Issue 2007 i)

"This book provides a rich collection of stochastic optimization algorithms and heuristics that cope with optimization issues. ... In summary, this is a good book on stochastic optimization. It is important book of any engineering library or laboratory. In my opinion, this book may be used as a quick reference for sophisticated scholars, or as an introductory book for students who are interested in an overview of the state-of-the-art mechanisms in this field." (Wei Yen, Computing Reviews, December, 2007)

"This book presents a compendium of Stochastic Optimisation concerned with the use of heuristics mainly including Markov Chain Monte Carlo methods. It is divided into 3 parts. ... 216 references are listed. They cover the main existing results in the theme. I consider that an outstanding feature of the book is its successful synthesis of giving in an `altogether' curve information needed for being comfortable with the realms of heuristic algorithms. I warmly recommended it for specialists working in optimization." (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1116 (18), 2007)

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