This research monograph develops the Hamilton-Jacobi-Bellman theory
via dynamic programming principle for a class of optimal control
problems for stochastic hereditary differential equations (SHDEs)
driven by a standard Brownian motion and with a bounded or an
infinite but fading memory. These equations represent a class of
stochastic infinite-dimensional systems that become increasingly
important and have wide range of applications in physics,
chemistry, biology, engineering and economics/finance. This
monograph can be used as a research reference for researchers and
advanced graduate students who have special interest in optimal
control theory and applications of stochastic hereditary systems.
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Stochastic Modelling and Applied Probability, 59 |
Release date: |
2008 |
First published: |
2008 |
Authors: |
Mou-Hsiung Chang
|
Dimensions: |
235 x 155 x 23mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
406 |
Edition: |
2008 ed. |
ISBN-13: |
978-0-387-75805-3 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Applied mathematics >
Stochastics
|
LSN: |
0-387-75805-4 |
Barcode: |
9780387758053 |
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