Recent Advances in Stochastic Calculus. This item is unavailable.
Language: English
Published by Springer New York, 2011
- Softcover
- New




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Recent Advances in Stochastic Calculus | Vincent Mirelli (u. a.) | Taschenbuch | ix | Englisch | 2011 | Springer New York | EAN 9781461279990 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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- Title
- Recent Advances in Stochastic Calculus
- Author
- Vincent Mirelli (u. a.)
- Publisher
- Springer New York
- Publication year
- 2011
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1461279992
- ISBN 13
- 9781461279990
- Item weight
- 359 grams
- Dimensions
- 235 x 155 x 13 mm
- Seller catalogs
- Bücher
This volume includes the material presented in the Distinguished Lecture Series on Stochastic Calculus at the Systems Research Center of the University of Maryland at College Park in 1987. The purpose of these lecture series and the volume is to acquaint a wide audience with certain recent advances in stochastic calculus and with their applications to significant problems. Stochastic systems play a fundamental role in automation and information en gineering. The analysis of stochastic systems depends in a fundamental way on stochastic calculus. The subject matter is rather sophisticated, requiring a broad mathematical sophistication and maturity. Yet improper understanding or utilization of stochastic calculus in applications, especially in engineering, can lead to incorrect numerial results and faulty designs. The material included in this volume appears for the first time in book form. Considerable effort was undertaken by the authors to present the material in a form accessible to as wide an audience as possible. Some of the material appears here for the first time, while we believe that the targeted tutorial and survey nature of some of the chapters should be extremely helpful to researchers studying recent developments in stochastic calculus. The topics were selected to cover some of the most important areas for stochastic control, stochastic filtering and stochastic modeling.
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