Shastic differential equations (SDEs) are a powerful tool in science, mathematics, economics and finance. This book will help the reader to master the basic theory and learn some applications of SDEs. In particular, the reader will be provided with the backward SDE technique for use in research when considering financial problems in the market, and with the reflecting SDE technique to enable study of optimal shastic population control problems. These two techniques are powerful and efficient, and can also be applied to research in many other problems in nature, science and elsewhere.
1101512993
Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering
Shastic differential equations (SDEs) are a powerful tool in science, mathematics, economics and finance. This book will help the reader to master the basic theory and learn some applications of SDEs. In particular, the reader will be provided with the backward SDE technique for use in research when considering financial problems in the market, and with the reflecting SDE technique to enable study of optimal shastic population control problems. These two techniques are powerful and efficient, and can also be applied to research in many other problems in nature, science and elsewhere.
249.99
In Stock
5
1

Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering
434
Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering
434Paperback(Softcover reprint of hardcover 1st ed. 2005)
$249.99
249.99
In Stock
Product Details
ISBN-13: | 9781441937711 |
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Publisher: | Springer US |
Publication date: | 12/08/2010 |
Series: | Mathematical and Analytical Techniques with Applications to Engineering |
Edition description: | Softcover reprint of hardcover 1st ed. 2005 |
Pages: | 434 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
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