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Item Details
Title: OPTIMIZATION OF WEIGHTED MONTE CARLO METHODS
By: Karl K. Sabelfeld (Trans), Gennadii A. Mikhailov
Format: Paperback

List price: £88.00


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ISBN 10: 3642759831
ISBN 13: 9783642759833
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 15 November, 2011
Edition: Softcover reprint of the original 1st ed. 1992
Series: Scientific Computation
Pages: 225
Synopsis: The Monte Carlo method is based on the munerical realization of natural or artificial models of the phenomena under considerations. In contrast to classical computing methods the Monte Carlo efficiency depends weakly on the dimen- sion and geometric details of the problem. The method is used for solving complex problems of the radiation transfer theory, turbulent diffusion, chemi- cal kinetics, theory of rarefied gases, diffraction of waves on random surfaces, etc. The Monte Carlo method is especially effective when using multi-processor computing systems which allow many independent statistical experiments to be simulated simultaneously. The weighted Monte Carlo estimates are constructed in order to diminish errors and to obtain dependent estimates for the calculated functionals for different values of parameters of the problem, i.e., to improve the functional dependence. In addition, the weighted estimates make it possible to evaluate special functionals, for example, the derivatives with respect to the parameters. There are many works concerned with the development of the weighted estimates. In Chap. 1 we give the necessary information about these works and present a set of illustrations. The rest of the book is devoted to the solution of a series of mathematical problems related to the optimization of the weighted Monte Carlo estimates.
Illustrations: 9 Tables, black and white; XI, 225 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
MINIMIZATION OF COMPUTATIONAL COSTS OF NON-ANALOGUE MONTE CARLO METHODS (HB)
MONTE CARLO METHODS (PB)
MONTE CARLO METHODS AND APPLICATIONS
MONTE CARLO METHODS AND APPLICATIONS (HB)
MONTE CARLO METHODS IN BOUNDARY VALUE PROBLEMS (HB)
OPTIMIZATION OF WEIGHTED MONTE CARLO METHODS (HB)
RANDOM FIELDS AND STOCHASTIC LAGRANGIAN MODELS
RANDOM FIELDS AND STOCHASTIC LAGRANGIAN MODELS
RANDOM FIELDS AND STOCHASTIC LAGRANGIAN MODELS (HB)
RANDOM WALKS ON BOUNDARY FOR SOLVING PDES
RANDOM WALKS ON BOUNDARY FOR SOLVING PDES
RANDOM WALKS ON BOUNDARY FOR SOLVING PDES (HB)
SPHERICAL AND PLANE INTEGRAL OPERATORS FOR PDES
SPHERICAL AND PLANE INTEGRAL OPERATORS FOR PDES
SPHERICAL AND PLANE INTEGRAL OPERATORS FOR PDES (HB)
SPHERICAL MEANS FOR PDES
SPHERICAL MEANS FOR PDES (HB)
SPHERICAL MEANS FOR PDES (HB)
STOCHASTIC METHODS FOR BOUNDARY VALUE PROBLEMS
STOCHASTIC METHODS FOR BOUNDARY VALUE PROBLEMS
STOCHASTIC METHODS FOR BOUNDARY VALUE PROBLEMS
STOCHASTIC METHODS FOR BOUNDARY VALUE PROBLEMS (HB)

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