Optimization of Weighted Monte Carlo Methods

Gennadii A. Mikhailov et Karl K. Sabelfeld

ISBN 10: 3540530053 / ISBN 13: 9783540530053

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992

Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Salissures sur la tranche. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Stains on the edge. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo E-812-886

Riassunto:

Weighted Monte Carlo algorithms are useful when direct simulation techniques are inapplicable or ineffective in computer science and technology. This book presents methods which minimize the computer time and memory required in constructing statistical models for systems described by integral equations. Specific topics covered include the optimization of randomized algorithms for estimating probabilistic characteristics of equations with random parameters and applications; computational models for random fields and numerical simulations; vector Monte Carlo algorithms for solving systems of integral equations; and a special approach to the application of perturbation theory based on this method.

Dati bibliografici

Titolo: Optimization of Weighted Monte Carlo Methods
Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Data di pubblicazione: 1992
Legatura: Hardcover
Condizione: Très bon