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.
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Destinazione, tempi e costiDa: Ammareal, Morangis, Francia
Hardcover. Condizione: Très bon. 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
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Da: Attic Books (ABAC, ILAB), London, ON, Canada
Hardcover. Condizione: ex library-good. Springer Series in Computational Physics. xi, 225 p. 24 cm. Orange hardcover. Ex library with labels on spine and rear pastedown, ink stamps on top edge and series page. Codice articolo 146962
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Da: avelibro OHG, Dinkelscherben, Germania
24 x 16 cm. Condizione: Gut. XI, 225 Pages Original Pappband mit Bibliotheksrückenschild im sehr guten Zustand. Innen mit Bibliotheksstempeln. Englische Sprache. - Original Hardboard with Library label in very good condition. Inside with Library stamps. English Language B15-02-02C|S90 Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 532 Springer series in computational physics. Codice articolo 61727
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Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Seiten: 236 | Sprache: Russisch | Produktart: Bücher. Codice articolo 597684/203
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