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Bernt Øksendal - Stochastic Differential Equations - 9783540047582 - V9783540047582
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Stochastic Differential Equations

€ 57.74
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Description for Stochastic Differential Equations Paperback. Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics. Series: Universitext. Num Pages: 379 pages, biography. BIC Classification: PBKJ; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 236 x 156 x 23. Weight in Grams: 624.
This edition contains detailed solutions of selected exercises. Many readers have requested this, because it makes the book more suitable for self-study. At the same time new exercises (without solutions) have beed added. They have all been placed in the end of each chapter, in order to facilitate the use of this edition together with previous ones. Several errors have been corrected and formulations have been improved. This has been made possible by the valuable comments from (in alphabetical order) Jon Bohlin, Mark Davis, Helge Holden, Patrick Jaillet, Chen Jing, Natalia Koroleva,MarioLefebvre,Alexander Matasov,Thilo Meyer-Brandis, Keigo Osawa, Bjorn Thunestvedt, Jan Uboe ... Read more

Product Details

Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
384
Format
Paperback
Publication date
2014
Series
Universitext
Condition
New
Weight
618g
Number of Pages
379
Place of Publication
Berlin, Germany
ISBN
9783540047582
SKU
V9783540047582
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3

Reviews for Stochastic Differential Equations
From the reviews of the fifth edition: "This is a highly readable and refreshingly rigorous introduction to stochastic calculus. … This is not a watered-down treatment. It is a serious introduction that starts with fundamental measure-theoretic concepts and ends, coincidentally, with the Black-Scholes formula as one of several examples of applications. This is the best ... Read more

Goodreads reviews for Stochastic Differential Equations


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