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Stochastic Controls - Hamiltonian Systems and HJB Equations (Paperback, Softcover reprint of the original 1st ed. 1999)
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Stochastic Controls - Hamiltonian Systems and HJB Equations (Paperback, Softcover reprint of the original 1st ed. 1999)
Series: Stochastic Modelling and Applied Probability, 43
Expected to ship within 10 - 15 working days
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As is well known, Pontryagin's maximum principle and Bellman's
dynamic programming are the two principal and most commonly used
approaches in solving stochastic optimal control problems. * An
interesting phenomenon one can observe from the literature is that
these two approaches have been developed separately and
independently. Since both methods are used to investigate the same
problems, a natural question one will ask is the fol lowing: (Q)
What is the relationship betwccn the maximum principlc and dy namic
programming in stochastic optimal controls? There did exist some
researches (prior to the 1980s) on the relationship between these
two. Nevertheless, the results usually werestated in heuristic
terms and proved under rather restrictive assumptions, which were
not satisfied in most cases. In the statement of a Pontryagin-type
maximum principle there is an adjoint equation, which is an
ordinary differential equation (ODE) in the (finite-dimensional)
deterministic case and a stochastic differential equation (SDE) in
the stochastic case. The system consisting of the adjoint equa
tion, the original state equation, and the maximum condition is
referred to as an (extended) Hamiltonian system. On the other hand,
in Bellman's dynamic programming, there is a partial differential
equation (PDE), of first order in the (finite-dimensional)
deterministic case and of second or der in the stochastic case.
This is known as a Hamilton-Jacobi-Bellman (HJB) equation.
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Stochastic Modelling and Applied Probability, 43 |
Release date: |
September 2012 |
First published: |
1999 |
Authors: |
Jiongmin Yong
• Xun Yu Zhou
|
Dimensions: |
235 x 155 x 24mm (L x W x T) |
Format: |
Paperback
|
Pages: |
439 |
Edition: |
Softcover reprint of the original 1st ed. 1999 |
ISBN-13: |
978-1-4612-7154-3 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
1-4612-7154-1 |
Barcode: |
9781461271543 |
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