Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 10,75
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In den WarenkorbZustand: Good. Volume 353. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780521718219.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 25,86
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In den WarenkorbZustand: New. pp. vi + 390 9 Illus.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Labyrinth Books, Princeton, NJ, USA
Zustand: Good.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 98,03
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 384 pages. 8.75x5.75x0.75 inches. In Stock.
Verlag: Cambridge University Press, 2009
ISBN 10: 052171821X ISBN 13: 9780521718219
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presenting important trends in the field of stochastic analysis, this collection of thirteen articles provides an overview of recent developments and new results. Written by leading experts in the field, the articles cover a wide range of topics, ranging from an alternative set-up of rigorous probability to the sampling of conditioned diffusions. Applications in physics and biology are treated, with discussion of Feynman formulas, intermittency of Anderson models and genetic inference. A large number of the articles are topical surveys of probabilistic tools such as chaining techniques, and of research fields within stochastic analysis, including stochastic dynamics and multifractal analysis. Showcasing the diversity of research activities in the field, this book is essential reading for any student or researcher looking for a guide to modern trends in stochastic analysis and neighbouring fields.