The numerical analysis of stochastic differential equations differs significantly from that of ordinary differential equations due to the peculiarities of stochastic calculus. This book provides an introduction to stochastic calculus and stochastic differential equations, in both theory and applications, emphasising the numerical methods needed to solve such equations. It assumes of the reader an undergraduate background in mathematical methods typical of engineers and physicists, though many chapters begin with a descriptive summary. The book is also accessible to others who only require numerical recipes. The stochastic Taylor expansion provides the basis for discrete time numerical methods for stochastic differential equations. The book presents many new results on higher-order methods for strong sample path approximations and for weak functional approximations, including implicit, predictor-corrector, extrapolation and variance-reduction methods. Besides serving as a basic text on such methods, the book offers the reader ready access to a large number of potential research problems in a field that is just beginning to expand rapidly and is widely applicable. To help the reader to develop an intuitive understanding of the underlying mathematics and hand-on numerical skills, exercises and over 100 PC-exercises are included.
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Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G3540540628I4N00
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Vendeur : Antiquariat Renner OHG, Albstadt, Allemagne
Hardcover. Etat : Sehr gut. Berlin, Springer (1992). gr.8°. 85 figs. XXXV, 632 p. Hardbound. (back faded).- Applications of Mathematics 23.- With exercises and solutions.- Incl. bibliography. N° de réf. du vendeur 59836
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Vendeur : BennettBooksLtd, San Diego, NV, Etats-Unis
hardcover. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-3540540628
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Numerische Analysis stochastischer Differentialgleichungen unterscheidet sich deutlich von gewöhnlichen Differentialgleichungen durch die Besonderheiten stochastischen Rechnens. Das vorliegende Buch bietet Lesern mit 'undergraduate' Kenntnissen eine leicht zugängliche Einführung in Stochastischen Differentialgleichungen, Anwendungen und Numerische Methoden für Physik und Technik. Zahlreiche Übungen sollen intuitives Verstehen und numerisches Geschick des Lesers fördern. Es wendet sich an Ingenieure, Physiker und Mathematiker die numerische Schemata für Anwendungen von Stochastischen Differentialgleichungen entwickeln und an Wissenschaftler aus anderen Gebieten, wie Biologie, Chemie oder Wirtschaftswissenschaften, mit weniger mathematischen Kenntnissen, die bestehende numerische Methoden für ihre eigene Arbeit verwenden wollen. 676 pp. Englisch. N° de réf. du vendeur 9783540540625
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book is interdisciplinary in its appoach and orientationIt places equal emphasis on both theory and applicationsBesides serving as a basic text on stochastic differential equations it derives and discusses the numerical methods needed to solve s. N° de réf. du vendeur 4893043
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 676 1st Edition. N° de réf. du vendeur 262053609
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Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Numerical Solution of Stochastic Differential Equations | Peter E. Kloeden (u. a.) | Buch | xxxvi | Englisch | 1992 | Springer | EAN 9783540540625 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102342625
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Vendeur : GoldBooks, Denver, CO, Etats-Unis
Etat : new. N° de réf. du vendeur 4I49_32_3540540628
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