Login
 
Hauptdaten
Autor: Anatoly Zhigljavsky, Antanas ilinskas
Titel: Stochastic Global Optimization
Verlag: Springer-Verlag
ISBN/ISSN: 9780387747408
Auflage: 1
Preis : CHF 110.90
Erscheinungsdatum:
Inhalt
Kategorie: Mathematik
Sprache: English
Technische Daten
Seiten: 262
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Inhaltsangabe

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.