Controlled Markov processes and viscosity solutions
This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions. Stochastic control problems are treated using the dynamic programming approach. The authors approach stochastic control problems by the method of dyna...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 2nd edition. |
| Saila: | Stochastic modelling and applied probability
25 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Description d'après consultation du 16 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Controlled Markov processes and viscosity solutions, Wendell H. Fleming, H. Mete Soner, 2nd edition, 2006, New York, Springer, 1 vol. (XVII-428 p.), Stochastic modelling and applied probability, 978-0387-26045-7 |
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| 100 | 1 | |a Fleming, Wendell, |d 1928-2023. | |
| 245 | 1 | 0 | |a Controlled Markov processes and viscosity solutions |c Wendell H. Fleming, H.M. Soner. |
| 250 | |a 2nd edition. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Stochastic modelling and applied probability |v 25 |x 0172-4568 | |
| 500 | |a Description d'après consultation du 16 mars 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. 409-423. Index | ||
| 505 | 0 | |a Deterministic Optimal Control -- Viscosity Solutions -- Optimal Control of Markov Processes: Classical Solutions -- Controlled Markov Diffusions in ?n -- Viscosity Solutions: Second-Order Case -- Logarithmic Transformations and Risk Sensitivity -- Singular Perturbations -- Singular Stochastic Control -- Finite Difference Numerical Approximations -- Applications to Finance -- Differential Games. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions. Stochastic control problems are treated using the dynamic programming approach. The authors approach stochastic control problems by the method of dynamic programming. The fundamental equation of dynamic programming is a nonlinear evolution equation for the value function. For controlled Markov diffusion processes, this becomes a nonlinear partial differential equation of second order, called a Hamilton-Jacobi-Bellman (HJB) equation. Typically, the value function is not smooth enough to satisfy the HJB equation in a classical sense. Viscosity solutions provide framework in which to study HJB equations, and to prove continuous dependence of solutions on problem data. The theory is illustrated by applications from engineering, management science, and financial economics. In this second edition, new material on applications to mathematical finance has been added. Concise introductions to risk-sensitive control theory, nonlinear H-infinity control and differential games are also included. Review of the earlier edition: "This book is highly recommended to anyone who wishes to learn the dinamic principle applied to optimal stochastic control for diffusion processes. Without any doubt, this is a fine book and most likely it is going to become a classic on the area... ." SIAM Review, 1994. | ||
| 650 | |a Markov, processus de | ||
| 650 | |a Commande stochastique | ||
| 650 | |a Viscosité | ||
| 650 | |a Solutions de viscosité | ||
| 700 | 1 | |a Soner, Halil Mete, |d 1959-...., |c mathématicien. |4 aut | |
| 776 | 0 | |0 098986848 |t Controlled Markov processes and viscosity solutions |f Wendell H. Fleming, H. Mete Soner |e 2nd edition |d 2006 |c New York |n Springer |p 1 vol. (XVII-428 p.) |s Stochastic modelling and applied probability |z 978-0387-26045-7 | |
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