ISBN: 9780387987231 - Stochastic Controls: Hamiltonian Systems and Hjb Equations: 43 (stochastic Modelling and Applied Probability, 43) (16 results)

Language: English
Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Soft cover. Condition: New. Dust Jacket Condition: New. 1st Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.…

Language: English
Published by Springer, New York, NY, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Trade paperback. Condition: New in new dust jacket. First edition. 1999 ed. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Sewn binding. Cloth over boards. 464 p. Contains: Illustrations, black & white. Applications of Mathematics, 43. Audience: General/trade.…

Language: English
Published by Springer-Verlag New York Inc., 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Hardback. Condition: Good. 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.

Language: English
Published by Springer-Verlag New York Inc., 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Hardback. Condition: Good. 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.

Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
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Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
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Condition: New. pp. 464.

Language: English
Published by Springer New York, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 tha. …

Language: English
Published by Springer New York Jun 1999, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 468 pp. Englisch.…

Language: English
Published by Springer, Springer Jun 1999, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph unifies the two key approaches in solving optimal control problems. The book will be of interest to researchers and graduate students in applied probability, control engineering, and econometrics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch.…

Language: English
Published by Humana, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
- Print on Demand
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Condition: New. Print on Demand pp. 464 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Language: English
Published by Springer, 1999
Series: Book 2 of 30 - Stochastic Modelling and Applied Probability
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Condition: New. PRINT ON DEMAND pp. 464.