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Main Data
Author: Anatoly Zhigljavsky, Antanas ilinskas
Title: Stochastic Global Optimization
Publisher: Springer-Verlag
ISBN/ISSN: 9780387747408
Edition: 1
Price: CHF 107.10
Publication date: 01/01/2007
Content
Category: Mathematics
Language: English
Technical Data
Pages: 262
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Table of contents

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.