Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540530053 ISBN 13: 9783540530053
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
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Verlag: Berlin ; Heidelberg : Springer, 1992
ISBN 10: 3540530053 ISBN 13: 9783540530053
Sprache: Englisch
24 x 16 cm. Zustand: 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.
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Verlag: Springer Berlin Heidelberg 1992-01-01, 1992
ISBN 10: 3642759831 ISBN 13: 9783642759833
Sprache: Englisch
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Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642759831 ISBN 13: 9783642759833
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Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642759831 ISBN 13: 9783642759833
Sprache: Englisch
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Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642759831 ISBN 13: 9783642759833
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Zustand: Neu. Optimization of Weighted Monte Carlo Methods | Gennadii A. Mikhailov | Taschenbuch | xi | Englisch | 2011 | Springer | EAN 9783642759833 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Springer-Verlag GmbH & Co. KG, 1992
ISBN 10: 3540530053 ISBN 13: 9783540530053
Sprache: Englisch
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Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2011, 2011
ISBN 10: 3642759831 ISBN 13: 9783642759833
Sprache: Englisch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
Verlag: Springer Berlin Heidelberg Nov 2011, 2011
ISBN 10: 3642759831 ISBN 13: 9783642759833
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch.